DEMAND FOR DISTRIBUTED RENEWABLE ENERGY GENERATION IN PAKISTAN

Transcription

1 Public Disclosure Authorized Public Disclosure Authorized DEMAND FOR DISTRIBUTED RENEWABLE ENERGY GENERATION IN PAKISTAN Main Report June 2016 Public Disclosure Authorized Public Disclosure Authorized

2 This report was prepared by Elan Partners (Pvt.) Ltd, under contract to The World Bank. It is one of several Strategy to Scale- [P146251], which was implemented over the period January 2015 to June The activity was funded and supported by the Asia Sustainable and Alternative Program (ASTAE), a multi-donor trust fund administered by The World Bank, and was led by Oliver Knight (Senior Specialist) and Anjum Ahmad (Senior Specialist). This report provides an assessment of the potential for distributed renewable energy generation, particularly through solar for large public buildings, major hospitals, major universities, water supply and sewerage pumps, agricultural pumps and agro processing units in selected areas of Pakistan. The work involved data collection, detailed site visits in the selected study areas, and desk-based analysis. The World Bank wishes to thank those organizations that generously provided their time, data and assistance to the consultant team, including representatives from K-Electric, Islamabad Electricity Supply Company (IESCO), and Lahore Electricity Supply Company (LESCO). This report is accompanied by a detailed set of annexes, which can be found here. Copyright 2016 International Bank for Reconstruction and Development / THE WORLD BANK Washington DC Telephone: Internet: This work is a product of the consultants listed, and not of World Bank staff. The findings, interpretations, and conclusions expressed in this work do not necessarily reflect the views of The World Bank, its Board of Executive Directors, or the governments they represent. The World Bank does not guarantee the accuracy of the data included in this work and accept no responsibility for any consequence of their use. The boundaries, colors, denominations, and other information shown on any map in this work do not imply any judgment on the part of The World Bank concerning the legal status of any territory or the endorsement or acceptance of such boundaries. The material in this work is subject to copyright. Because The World Bank encourages dissemination of its knowledge, this work may be reproduced, in whole or in part, for non-commercial purposes as long as full attribution to this work is given. Any queries on rights and licenses, including subsidiary rights, should be addressed to World Bank Publications, The World Bank Group, 1818 H Street NW, Washington, DC 20433, USA; fax: ; pubrights@worldbank.org. Furthermore, the ASTAE Program Manager would appreciate receiving a copy of the publication that uses this publication for its source sent in care of the address above, or to esmap@worldbank.org.

3 Demand for Distributed Renewable Generation in Pakistan Volume 1 of 3 Main Report Ref.: FRT16-V05-WBDG June 2016 [Incorporates minor revisions to version published May 2016] Prepared for: The World Bank Group

4 Élan Partners (Pvt.) Ltd Head Office: 4th Floor, Rizwan Plaza, 9 West, Blue Area, Sector F-6, Islamabad, Pakistan Tel.: +92 (51) Fax: +92 (51) Regional Office: 2 nd Floor, Azam Tower, Arbab Road Stop, University Road, Peshawar Tel.: +92 (91) mail@elan.com.pk, Web: Report disclaimer: Élan Partners has prepared this document in accordance with the instructions of The World Bank Group for its sole and specific use. Any other persons, companies, or institutions who use any information contained herein do so at their own risk.

5 Demand For Distributed Renewable Generation ACSR AC AEB AJK APs ASTAE BISE BOP CCI CDGK CEO CPPA (G) CSP DC DISCO ELR ESCO FH FPs FST FY GKBWSS GPO GSO GWh HP HPS HT IESCO IPPs JPMC KDA ACRONYMS AND KEY TERMS Aluminum Conductor, Steel Reinforced Alternating Current Islamabad Area Electricity Board Azad Jammu and Kashmir Anaerobic Treatment Ponds Asia Sustainable & Alternative Program Board of Intermediate and Secondary Education Bank of Punjab Council of Common Interest City District Government Karachi Chief Executive Officer Central Power Purchase Agency (Guarantee) Concentrated Solar Power Direct Current Distribution Company Loss Reduction Service Company Frere Hall Facultative Treatment Ponds Final Settlement Tanks Fiscal Year Greater Karachi Bulk Water Supply System General Post Office Grid System Operation Giga Watt hours Horse Power Hub Pumping Station High Tension Islamabad Electric Supply Company Independent Power Producers Jinnah Postgraduate Medical Centre Karachi Development Authority i June 2016

6 Demand For Distributed Renewable Generation KDHL K-ELECTRIC KESC KMC KPT KWSB KW LESCO LGH LML LT MD MGD MVA MW NBP NEPRA NEK PAEC PDC P&E PKR PPP PR PST PTV PV QA Solar QAHM RBSs SBB SDO SMIU SNGPL Khaliq Dina Hall Library Karachi Electric Karachi Electric Supply Company Limited Karachi Metropolitan Corporation Karachi Port Trust Karachi Water & Sewerage Board Kilowatt Lahore Electric Supply Company Lyari General Hospital Liaquat Memorial Library Low Tension Maximum Demand Millions of Gallons per Day Mega-Volt Ampere Megawatt National Bank of Pakistan National Electric Power Regulatory Authority North East Karachi Pumping Station Pakistan Atomic Commission Power Distribution Centre Planning & Engineering Pakistani Rupee Public Private Partnership Pakistan Railway Primary Settlement Tanks Pakistan Television Corporation Limited Photo Voltaic Quaid-e-Azam Solar Power (Pvt.) Ltd Quaid-e-Azam House Museum Re-Broadcast Stations State Bank Building Sub- Divisional Officer Sindh Madressatul Islam University Sui Northern Gas Pipelines Limited ii June 2016

7 Demand For Distributed Renewable Generation SSH SSP SP-HQ STP T&D TF ToR T/L T/TI UPS US WAPDA WASA WB Sindh Services Hospital Senior Superintendent Police, South Police Headquarters Software Technology Park Transmission & Distribution Treatment Facility Terms of Reference Transmission Line Telecom Telematique Inc. Uninterruptible Power Supply United States Water and Power Development Authority Water and Sanitation Agency The World Bank iii June 2016

8 Demand For Distributed Renewable Generation EXECUTIVE SUMMARY For the last decade Pakistan has been suffering from a persistent power sector crisis, with insufficient generation capacity to meet demand. As a result the power system frequently operates under stress conditions with significant load shedding, especially during the summer season, when the gap between supply and demand reaches its peak. One attractive and increasingly cost-effective way to help plug the gap, and meet growing electricity demand, is the deployment of alternative renewable energy sources like wind, solar, waste-to-energy, bioenergy, and geothermal. There is already some investment in biomass, solar and wind, but the potential for scaleup is much larger. The energy sector is one of three priority areas for The World Bank s engagement in Pakistan. This includes development of renewable power generation, so that the energy sector meets electricity demand in an efficient, affordable and environmentally sustainable manner. The World Bank commissioned this study to assess the potential for distributed energy generation, particularly through solar for large public buildings, major hospitals, major universities, water supply and sewerage pumps, agricultural pumps and agro processing units in selected areas of Pakistan. This is part of a broader activity titled Strategy for Scale-Up of Renewable in Pakistan [Project ID: P146251], which includes a number of other components. There is increasing international interest in solar power due to continued cost reductions, with investment occurring at every part of the spectrum. Within urban areas, solar can be installed on rooftops, industrial zones, carparks, or in redundant areas surrounding buildings, providing power during the daytime that can help offset consumer demand. Any surplus power can be fed into the grid, thereby contributing to power supply in major load centers without requiring new transmission or distribution lines. The objectives of this study are to: Analyze the potential demand for provision of electricity from distributed renewable energy generation to help power water supply and sewage pumps, hospitals, universities and other large public buildings in Karachi and Lahore; Identify possible sites (including rooftops) for solar photovoltaic installations in Karachi and Lahore; Analyze distributed renewable energy generation potential in remote gridconnected areas by identifying promising locations which exhibit the iv June 2016

9 Demand For Distributed Renewable Generation characteristics of, among others: land availability, technical feasibility, economic viability with limited government intervention, and a potentially interested off-taker (DISCO). Élan Partners (Pvt.) Limited Islamabad in association with Telecom Telematique Inc. (T/TI) USA was awarded the contract for this study following a competitive procurement, and the work involved desktop analysis, data gathering from the respective distribution supply companies, site visits to all the buildings and facilities covered, and finally analysis and write-up. Karachi and Lahore were targeted for the first two objectives due to their market size and potential demonstration, with the expectation that any success could be replicated in other cities and provinces of Pakistan. This necessitated liaison with K-Electric and Lahore Electric Supply Company (LESCO). For the third objective relating to remote, end-of-grid areas, Islamabad Electric Supply Company (IESCO) was selected. Key Findings Karachi From the 20 large buildings assessed, total demand is about 6.7 Mw, and there is potential to install up to 79 MW of solar PV; Aggregated demand of all government buildings could be in the range of MW; There is a close relationship between peak demand and the supply curve for solar installations in Karachi due to the high air conditioning load; One high potential candidate for solar is the Karachi Water & Sewerage Board (KWSB) because they:.1. Have a number of large facilities (about 150) with aggregated demand of about 74 MW, that contain large roof spaces and additional unused area on the ground;.2. Are one of the largest consumers on the K-Electric system with total demand of surveyed facilities is about 49 MW having solar potential of about 188 MW, but have large billing arrears, providing an incentive among all those involved to reduce their consumption from the grid;.3. Have facilities that are situated in the wind corridor, potentially allowing for hybrid installations (solar and wind); Total demand of five hospitals surveyed is about 7.4 MW, comprising 9.2 MW of potential supply from solar if all available space were utilized, including from parking areas. However estimated demand of all public v June 2016

10 Demand For Distributed Renewable Generation sector hospitals will be about 21 MW (taking an average of 700 KW for each hospital, as most of hospitals are small);; Space is available to install more solar capacity than the actual electricity demand of buildings and hospitals that were surveyed. Summary of solar potential in Karachi area is as under Lahore KARACHI (K-ELECTRIC) Parameters KWSB Major Hospitals Public Buildings Demand of Facilities Surveyed Space Available (sq. m) 1,477, , ,800 Potential Solar Capacity Financial Payback Period (Years) From the 20 buildings assessed in Lahore, there is potential to install up to 33 MW of solar PV; This is equal to around double the capacity requirement of all buildings assessed; There is less complementarity in Lahore when compared to Karachi between the solar supply curve and peak demand, which occurs more strongly in the evening period; However, solar would still help to alleviate load shedding in the daytime; Of the types of buildings assessed, the greatest potential was found in university campuses, where total demand could be met five times over by installing solar. Summary of solar potential in LESCO area is as under LAHORE (LESCO) Parameters Major Universities Major Hospitals Public Buildings Overall Demand of Facilities Surveyed Space Available (sq. m) 72,312 56, Potential Solar Capacity Financial Payback Period (Years) The information obtained from these three consumer categories is too little to recommend a broad, generalized way forward in estimating the potential for distributed renewable (solar) energy. However, the data collected represents just the tip of the iceberg, and hints at significant potential existing in urban areas in Pakistan. More detailed surveys and economic analysis would be required to vi June 2016

11 Demand For Distributed Renewable Generation determine the viability of each individual installation, but based on the analysis in this report the surveyed sites are all strong candidates. Punjab Rural Areas The analysis carried out reveals options for improving network stability in rural areas towards the end of feeder lines either by adopting energy loss reduction (ELR) OR by switching over power supply from central generation to alternative renewable generation. By applying ELR methods either bifurcation, reconductoring at a higher capacity, or installation of shunt capacitors (fixed) heavy expenses would be involved except in the case of capacitors, which are a short term solution. However, as a long term solution, the other two options are essential and cannot be ignored. Similarly by taking certain consumers or groups of consumers off-grid by providing them with a stand-alone system, the net relief on system loading would not be substantial. Furthermore, there are potential dividends in terms of energy conservation that might be obtained from the visual and awarenessraising impact of installing solar systems. The major benefits that are could be attained from installation of solar systems are listed below: Consumers facilitation on long term basis; Financial health of beneficiaries would improve manifold; Reduction in O&M expenses being borne by consumers in current scenario; Set out class precedence for other category consumers to go after alternative energy source; Daily 5-10 hours of un-interrupted power operations; Suitable for remote water shed and rain fed areas; Long working life; Small pay back periods, particularly if high value crops are grown; Socio economic uplift due to continuous power supply. vii June 2016

12 Demand For Distributed Renewable Generation TABLE OF CONTENTS INTRODUCTION OVERVIEW PROJECT BACKGROUND PROJECT OBJECTIVES SCOPE OF WORK TASK 1: KARACHI TASK 2: LAHORE TASK 3: END-OF-GRID DELIVERABLES / SPECIFIC OUTPUTS EXPECTED FROM VENDOR METHODOLOGY KARACHI (TASK I) K ELECTRIC Introduction Methodology Data Collection and Analysis KARACHI WATER & SEWERAGE BOARD (KWSB) Introduction Methodology Data Collection and Analysis Dhabeji Pumping Station Pipri Pumping Station North East Karachi Pumping Station Hub Pumping Station Gharo Pumping Station Sewage Treatment Plants Preliminary Siting & Analysis Analysis MAJOR HOSPITALS Introduction Methodology Data Collection and Analysis Abbasi Shaheed Hospital Karachi Civil Hospital Karachi Jinnah Post Graduate Medical Center Sindh Services Hospital Lyari General Hospital viii June 2016

13 Demand For Distributed Renewable Generation Preliminary Siting & Analysis Analysis TWENTY LARGE PUBLIC BUILDINGS Introduction Methodology Data Collection and Analysis Mazar-e-Quaid Radio Pakistan Karachi KDA Headquarters, Civic Center Hockey Stadium Karachi SSP South Police Headquarters National Stadium Karachi Pakistan Railway Station: Karachi Cantt Karachi Port Trust (KPT) Building, Karachi Pakistan Television, Karachi Center Sindh Madressatul Islam University Karachi Municipal Corporation Building State Bank Building Frere Hall Liaquat Memorial Library Quaid-e-Azam House Museum Zoological Garden National Museum Khaliq Dina Hall Library Supreme Court Karachi Registry Mohatta Palace Preliminary Siting & Analysis Analysis LAHORE (TASK 2) LESCO Introduction Methodology Data Collection and Analysis LESCO Generation Capacity and Supplied Annually LESCO Monthly Billing and Account Receivables (Unpaid) Typical Daily Load Curve (Peak Season) & Monthly Peak in Lahore Area Monthly Peak in Lahore Area MAJOR UNIVERSITIES Introduction Methodology ix June 2016

14 Demand For Distributed Renewable Generation Data Collection and Analysis Aggregated Capacity and Demand of Major Universities Typical Daily Load Curve in Peak Period & Monthly Peak Current Tariff Applied to Major Universities Monthly Billing and Account Receivables of Major Universities Universities demand & its Contribution to Peak Period of Supply System Specific Data Preliminary Siting & Analysis Analysis HOSPITALS Introduction Methodology Data Collection and Analysis Aggregated Capacity and Demand from Major Hospitals Typical Daily Load Curve (In Peak Period) Current Tariff Applied To Major Hospitals Monthly Billing and Account Receivables of Major Hospitals Hospitals demand & its Contribution to Peak Period of Supply System Share of Account Receivables by Hospitals Preliminary Siting and Analysis Analysis PUBLIC BUILDINGS Introduction Methodology Data Collection and Analysis Aggregated Capacity and Demand of 20 Large Public Buildings Typical Daily Load Curve (in Peak Period) Current Tariff Applied to Public Consumer Categories Monthly Billing and Account Receivables of Public Buildings Characteristics of the Demand of Buildings & its Contribution to Peak Share of Account Receivables by Buildings Specific Data Preliminary Siting and Analysis Analysis END-OF-GRID (IESCO) INTRODUCTION IESCO System Statistics METHODOLOGY Organizational Approach SCREENING ANALYSIS x June 2016

15 Demand For Distributed Renewable Generation Tail-End-Grid & T/Lines Network, Potential Aggregated Demand in End of Grid Site Specific Demand Analysis Data Collection The Technical Data Load Curves Based on Peak Demand Field Inspection Current Tariff Economic Growth & Development Plans in Remote Area Least Cost Analysis Backup Generator Cost Estimation of Supplying Solar Installation Rehabilitation of Distribution System Methods/Tools of Distribution Rehabilitation (Hierarchy) COST COMPARISON FOR VARIOUS ALTERNATIVES PRELIMINARY SITING CONCLUSION & RECOMMENDATION CONCLUSION RECOMMENDATIONS xi June 2016

16 Demand For Distributed Renewable Generation LIST OF FIGURES FIGURE 4-1: K-ELECTRIC POWER SYSTEM FIGURE 4-2: K-ELECTRIC TRANSMISSION LOSSES FIGURE 4-3: TYPICAL SYSTEM DEMAND FOR FIGURE 4-4: TYPICAL SYSTEM DEMAND FOR FIGURE 4-5: TYPICAL SYSTEM DEMAND FOR FIGURE 4-6: MONTHLY PEAK IN KARACHI AREA FIGURE 4-7: EXISTING KWSB WATER SUPPLY SYSTEM FIGURE 4-8: SINGLE LINE DIAGRAM OF KWSB WATER SUPPLY SYSTEM FIGURE 4-9: SINGLE LINE DIAGRAM OF KWSB WATER SUPPLY SYSTEM FIGURE 4-10: A PHOTOGRAPH OF DHABEJI PUMPING STATION FIGURE 4-11: MONTHLY PEAK OF DHABEJI PUMPING STATION FIGURE 4-12: MONTHLY PEAK OF PIPRI PUMPING STATION FIGURE 4-13: MONTHLY PEAK OF NEK PUMPING STATION FIGURE 4-14: MONTHLY PEAK OF HUB PUMPING STATION FIGURE 4-15: MONTHLY PEAK OF GHARO PUMPING STATION FIGURE 4-16: MONTHLY PEAK OF SEWAGE TREATMENT PLANT I FIGURE 4-17: MONTHLY PEAK OF SEWAGE TREATMENT PLANT II FIGURE 4-18: MONTHLY PEAK OF SEWAGE TREATMENT PLANT III FIGURE 4-19: ABBASI SHAHEED HOSPITAL FIGURE 4-20: MONTHLY PEAK LOAD OF ABBASI SHAHEED HOSPITAL FIGURE 4-21: MONTHLY PEAK OF CIVIL HOSPITAL KARACHI FIGURE 4-22: JINNAH POSTGRADUATE MEDICAL CENTRE FIGURE 4-23: MONTHLY PEAK OF JPMC FIGURE 4-24: MONTHLY PEAK OF SSH KARACHI FIGURE 4-22: MONTHLY PEAK OF LGH KARACHI FIGURE 4-26: MONTHLY PEAK OF KDA HEADQUARTERS FIGURE 4-27: KARACHI CANTONMENT RAILROAD STATION FIGURE 4-28: MONTHLY PEAK OF PR CANTT. STATION FIGURE 4-29: MONTHLY PEAK OF KPT BUILDING FIGURE 4-30: MONTHLY PEAK OF PTV CENTER FIGURE 4-31: MONTHLY PEAK OF SBB FIGURE 4-32: A PHOTOGRAPH OF FRERE HALL FIGURE 4-33: QUAID-E-AZAM HOUSE MUSEUM FIGURE 4-34: MONTHLY PEAK OF SUPREME COURT FIGURE 5-1: GEOGRAPHICAL MAP OF LESCO FIGURE 5-2: TYPICAL LOAD PROFILE OF LESCO FOR THE YEAR FIGURE 5-3: TYPICAL LOAD PROFILE OF LESCO FOR THE YEAR FIGURE 5-4: TYPICAL LOAD PROFILE OF LESCO FOR THE YEAR FIGURE 5-5: MONTHLY PEAK xii June 2016

17 Demand For Distributed Renewable Generation FIGURE 5-6: UNIVERSITY OF CENTRAL PUNJAB FIGURE 5-7: TYPICAL DAILY LOAD PROFILE IN PEAK SEASON OF UNIVERSITIES FIGURE 5-8: TYPICAL DAILY LOAD PROFILE IN PEAK SEASON OF UNIVERSITIES FIGURE 5-9: TYPICAL DAILY LOAD PROFILE IN PEAK SEASON FOR UNIVERSITIES FIGURE 5-10: DEMAND OF UNIVERSITIES & CONTRIBUTION TO PEAK PERIOD FIGURE 5-11: DEMAND OF UNIVERSITIES & CONTRIBUTION TO PEAK PERIOD FIGURE 5-12: DEMAND OF UNIVERSITIES & CONTRIBUTION TO PEAK PERIOD OF SUPPLY FIGURE 5-13: GANGA RAM HOSPITAL FIGURE 5-14: TYPICAL DAILY LOAD PROFILE IN PEAK SEASON OF THE HOSPITALS FIGURE 5-15: TYPICAL DAILY LOAD PROFILE IN PEAK SEASON OF THE HOSPITALS FIGURE 5-16: TYPICAL DAILY LOAD PROFILE IN PEAK SEASON OF THE HOSPITALS FIGURE 5-17: DEMAND OF HOSPITALS AND CONTRIBUTION TO PEAK PERIOD FIGURE 5-18: DEMAND OF HOSPITALS & CONTRIBUTION TO PEAK PERIOD OF SUPPLY FIGURE 5-19 : DEMAND OF HOSPITALS AND CONTRIBUTION TO PEAK PERIOD OF SUPPLY FIGURE 5-20: EXPO CENTER, LAHORE FIGURE 5-21 : TYPICAL DAILY LOAD PROFILE IN PEAK SEASON FOR PUBLIC BUILDINGS FIGURE 5-22 : TYPICAL DAILY LOAD PROFILE IN PEAK SEASON FOR PUBLIC BUILDINGS FIGURE 5-23 : TYPICAL DAILY LOAD PROFILE IN PEAK SEASON FOR PUBLIC BUILDINGS FIGURE 5-24: DEMAND OF BUILDINGS & CONTRIBUTION TO PEAK PERIOD FIGURE 5-25: DEMAND OF BUILDINGS & CONTRIBUTION TO PEAK PERIOD FIGURE 5-26: DEMAND OF BUILDINGS & CONTRIBUTION TO PEAK PERIOD FIGURE 6-1: GEOGRAPHICAL MAP OF IESCO FIGURE 6-2: COMPUTED & RECORDED PEAK DEMAND OF IESCO (-14) FIGURE 6-3: NUMBER OF CONSUMERS OF IESCO (-) FIGURE 6-4: SALES OF FIGURE 6-5: SALES OF FIGURE 6-6: SINGLE LINE DIAGRAM OF GRID & T/LINES SYSTEM OF IESCO FIGURE 6-7: 25 HP TUBE WELL AT DHOK SHATAL, TALAGANG FIGURE 6-8: MEASURING LOAD AT DHARYALA JALIP, PIND DADAN KHAN FIGURE 6-9: TYPICAL DAILY PEAK LOAD CURVE OF CITY, TALAGANG FIGURE 6-10: TYPICAL DAILY PEAK LOAD CURVE OF JHATLA, TALAGANG FIGURE 6-11: TYPICAL DAILY PEAK LOAD CURVE OF DHARABI, TALAGANG FIGURE 6-12: TYPICAL DAILY PEAK LOAD CURVE OF KOT SARANG, TALAGANG FIGURE 6-13: TYPICAL DAILY PEAK LOAD CURVE OF MAIN BAZAR, TALAGANG FIGURE 6-14: TYPICAL DAILY PEAK LOAD CURVE OF MOGLA, TALAGANG FIGURE 6-15: TYPICAL DAILY PEAK LOAD CURVE OF BILALABAD, TALAGANG FIGURE 6-16: TYPICAL DAILY PEAK LOAD CURVE OF MALIKWAL, TALAGANG FIGURE 6-17: TYPICAL DAILY PEAK LOAD CURVE OF DHOK PATHAN, TALAGANG FIGURE 6-18: TYPICAL DAILY PEAK LOAD CURVE OF CWO, TALAGANG FIGURE 6-19: TYPICAL DAILY PEAK LOAD CURVE OF MAJOR RIAZ, PINANWAL xiii June 2016

18 Demand For Distributed Renewable Generation FIGURE 6-20: TYPICAL DAILY PEAK LOAD CURVE OF RAWAL, PINANWAL FIGURE 6-21: TYPICAL DAILY PEAK LOAD CURVE OF SAGAR PUR, PINANWAL FIGURE 6-22: SOLAR ENERGY SYSTEMS DEVELOPMENT FIGURE 6-23: BASIC SYSTEM OF SOLAR ENERGY SYSTEMS FIGURE 6-24: SOLAR WATER PUMP WORKING SCHEMATIC DIAGRAM xiv June 2016

19 Demand For Distributed Renewable Generation LIST OF TABLES TABLE 4-1: CAPACITY AND ENERGY SUPPLIED BY K-ELECTRIC ANNUALLY TABLE 4-2: K-ELECTRIC MONTHLY BILLING PKR IN MILLION TABLE 4-3: TYPICAL DAILY LOAD CURVE IN PEAK SEASONS OF YEAR TABLE 4-4: MONTHLY PEAK LOAD IN KARACHI AREA TABLE 4-5: SELECTED KWSB PUMPING STATIONS TABLE 4-6: AGGREGATED CAPACITY AND ENERGY DEMAND OF DHABEJI PUMPING STATION TABLE 4-7: MONTHLY PEAK LOAD OF DHABEJI PUMPING STATION TABLE 4-8: MONTHLY BILLING OF DHABEJI PUMPING STATION PKR IN MILLION TABLE 4-9: AGGREGATED CAPACITY AND ENERGY DEMAND AT PIPRI PUMPING STATION TABLE 4-10: MONTHLY PEAK LOAD OF PIPRI PUMPING STATION TABLE 4-11: MONTHLY BILLING OF PIPRI PKR IN MILLION TABLE 4-12: AGGREGATED CAPACITY AND ENERGY DEMAND AT NEK PUMPING STATION TABLE 4-13: MONTHLY PEAK LOAD OF NEK PUMPING STATION TABLE 4-14: MONTHLY BILLING OF NEK PUMPING STATION PKR IN MILLION TABLE 4-15: AGGREGATED CAPACITY AND ENERGY DEMAND OF HUB PUMPING STATION TABLE 4-16: MONTHLY PEAK LOAD OF HUB PUMPING STATION TABLE 4-17: MONTHLY BILLING OF HPS PKR IN MILLION TABLE 4-18: AGGREGATED CAPACITY AND ENERGY DEMAND OF GHARO PUMPING STATION TABLE 4-19: MONTHLY PEAK LOAD OF GHARO PUMPING STATION TABLE 4-20: MONTHLY BILLING OF GHARO PUMPING STATION PKR IN MILLION TABLE 4-21: AGGREGATED CAPACITY AND ENERGY DEMAND OF SEWERAGE TREATMENT PLANT - I TABLE 4-22: MONTHLY PEAK LOAD OF SEWERAGE TREATMENT PLANT I TABLE 4-23: MONTHLY BILLING OF SEWAGE TREATMENT PLANT-I PKR IN MILLION TABLE 4-24: AGGREGATED CAPACITY AND ENERGY DEMAND OF SEWAGE TREATMENT PLANT-II TABLE 4-25: MONTHLY PEAK LOAD OF SEWAGE TREATMENT PLANT II TABLE 4-26: MONTHLY BILLING OF SEWAGE TREATMENT PLANT II PKR IN MILLION TABLE 4-27: AGGREGATED CAPACITY AND ENERGY DEMAND OF SEWAGE TREATMENT PLANT - III TABLE 4-28: MONTHLY PEAK LOAD OF SEWAGE TREATMENT PLANT - III TABLE 4-29: MONTHLY BILLING SEWAGE TREATMENT PLANT III PKR IN MILLION TABLE 4-30: PRELIMINARY SITING OF KWSB TABLE 4-31: LIST OF SELECTED HOSPITALS TABLE 4-32: AGGREGATED CAPACITY AND ENERGY DEMAND OF ABBASI SHAHEED HOSPITAL TABLE 4-33: MONTHLY PEAK LOAD OF ABBASI SHAHEED HOSPITAL TABLE 4-34: MONTHLY BILLING OF ABBASI SHAHEED HOSPITAL PKR IN MILLION TABLE 4-35: AGGREGATED CAPACITY AND ENERGY DEMAND OF CIVIL HOSPITAL KARACHI TABLE 4-36: MONTHLY PEAK LOAD OF CIVIL HOSPITAL KARACHI TABLE 4-37: MONTHLY BILLING OF CIVIL HOSPITAL KARACHI PKR IN MILLION TABLE 4-38: AGGREGATED CAPACITY AND ENERGY DEMAND OF JPMC TABLE 4-39: MONTHLY PEAK LOAD OF JPMC i June 2016

20 Demand For Distributed Renewable Generation TABLE 4-40: MONTHLY BILLING OF JPMC PKR IN MILLION TABLE 4-41: AGGREGATED CAPACITY AND ENERGY DEMAND OF SSH, KARACHI TABLE 4-42: MONTHLY PEAK LOAD OF SSH KARACHI TABLE 4-43: MONTHLY BILLING OF SSH KARACHI PKR IN MILLION TABLE 4-44: AGGREGATED CAPACITY AND ENERGY DEMAND OF LGH TABLE 4-45: MONTHLY PEAK LOAD OF LGH KARACHI TABLE 4-46: MONTHLY BILLING OF LGH KARACHI PKR IN MILLION TABLE 4-47: PRELIMINARY SITING OF HOSPITALS TABLE 4-48: LIST OF TWENTY (20) LARGE PUBLIC BUILDINGS TABLE 4-49: AGGREGATED CAPACITY & ENERGY DEMAND OF MAZAR-E-QUAID KARACHI TABLE 4-50: MONTHLY BILLING OF MAZAR-E-QUAID KARACHI PKR IN MILLION TABLE 4-51: AGGREGATED CAPACITY & ENERGY DEMAND OF RADIO PAKISTAN TABLE 4-52: MONTHLY BILLING OF RADIO PAKISTAN PKR IN MILLION TABLE 4-53: AGGREGATED CAPACITY & ENERGY DEMAND OF KDA HEADQUARTERS TABLE 4-54: MONTHLY PEAK LOAD OF KDA HEADQUARTERS TABLE 4-55: MONTHLY BILLING OF KDA HEADQUARTERS PKR IN MILLION TABLE 4-56: AGGREGATED CAPACITY & ENERGY DEMAND OF HOCKEY STADIUM TABLE 4-57: MONTHLY BILLING OF HOCKEY STADIUM PKR IN MILLION TABLE 4-58: AGGREGATED CAPACITY & ENERGY DEMAND OF SSP SP-HQ TABLE 4-59: MONTHLY BILLING OF SSP SP-HQ PKR IN MILLION TABLE 4-60: AGGREGATED CAPACITY & ENERGY DEMAND OF NATIONAL STADIUM TABLE 4-61: MONTHLY BILLING OF NATIONAL STADIUM PKR IN MILLION TABLE 4-62: AGGREGATED CAPACITY & ENERGY DEMAND OF PR CANTT. STATION TABLE 4-63: MONTHLY PEAK LOAD OF PR CANTT. STATION TABLE 4-64: MONTHLY BILLING OF PR CANTT. STATION PKR IN MILLION TABLE 4-65: AGGREGATED CAPACITY & ENERGY DEMAND OF KPT BUILDING TABLE 4-66: MONTHLY PEAK LOAD OF KPT BUILDING TABLE 4-67: MONTHLY BILLING OF KPT BUILDING PKR IN MILLION TABLE 4-68: AGGREGATED CAPACITY & ENERGY DEMAND OF PTV CENTER TABLE 4-69: MONTHLY PEAK LOAD OF PTV CENTER TABLE 4-70: MONTHLY BILLING OF PTV CENTER PKR IN MILLION TABLE 4-71: AGGREGATED CAPACITY & ENERGY DEMAND OF SMIU TABLE 4-72: MONTHLY BILLING OF SMIU PKR IN MILLION TABLE 4-73: AGGREGATED CAPACITY & ENERGY DEMAND OF KMC BUILDING TABLE 4-74: MONTHLY BILLING OF KMC BUILDING PKR IN MILLION TABLE 4-75: AGGREGATED CAPACITY & ENERGY DEMAND OF SBB TABLE 4-76: MONTHLY PEAK LOAD OF SBB TABLE 4-77: MONTHLY BILLING OF SBB PKR IN MILLION TABLE 4-78: AGGREGATED CAPACITY & ENERGY DEMAND OF FH TABLE 4-79: MONTHLY BILLING OF FH PKR IN MILLION ii June 2016

21 Demand For Distributed Renewable Generation TABLE 4-80: AGGREGATED CAPACITY & ENERGY DEMAND OF LML TABLE 4-81: MONTHLY BILLING OF LML PKR IN MILLION TABLE 4-82: AGGREGATED CAPACITY & ENERGY DEMAND OF QAHM TABLE 4-83: MONTHLY BILLING OF QAHM PKR IN MILLION TABLE 4-84: AGGREGATED CAPACITY & ENERGY DEMAND OF ZOOLOGICAL GARDEN TABLE 4-85: MONTHLY BILLING OF ZOOLOGICAL GARDEN PKR IN MILLION TABLE 4-86: AGGREGATED CAPACITY & ENERGY DEMAND OF NATIONAL MUSEUM TABLE 4-87: MONTHLY BILLING OF NATIONAL MUSEUM PKR IN MILLION TABLE 4-88: AGGREGATED CAPACITY & ENERGY DEMAND OF KDHL TABLE 4-89: MONTHLY BILLING OF KDHL PKR IN MILLION TABLE 4-90: AGGREGATED CAPACITY & ENERGY DEMAND OF SUPREME COURT TABLE 4-91: MONTHLY PEAK LOAD OF SUPREME COURT TABLE 4-92: MONTHLY BILLING OF SUPREME COURT PKR IN MILLION TABLE 4-93: AGGREGATED CAPACITY & ENERGY DEMAND OF MOHATTA PALACE TABLE 4-94: MONTHLY BILLING OF MOHATTA PALACE PKR IN MILLION TABLE 4-95: PRELIMINARY SITING OF TWENTY LARGE PUBLIC BUILDINGS TABLE 5-1: SALIENT FEATURES OF LESCO TABLE 5-2: CAPACITY & ENERGY SUPPLIED BY LESCO ANNUALLY TABLE 5-3: LESCO MONTHLY BILLING PKR IN MILLION TABLE 5-4: TYPICAL DAILY LOAD IN PEAK SEASON TABLE 5-5: MONTHLY PEAK TABLE 5-6: LIST OF SELECTED UNIVERSITIES TABLE 5-7: AGGREGATED CAPACITY FROM MAJOR UNIVERSITIES TABLE 5-8: MONTHLY MAXIMUM LOAD (PEAK) FOR MAJOR UNIVERSITIES TABLE 5-9: CURRENT TARIFF & CONSUMER CATEGORY FOR MAJOR UNIVERSITIES TABLE 5-10: MONTHLY BILLING UNITS OF MAJOR UNIVERSITIES TABLE 5-11: DEMAND OF UNIVERSITIES & CONTRIBUTION TO PEAK PERIOD TABLE 5-12: DEMAND OF UNIVERSITIES & CONTRIBUTION TO PEAK PERIOD TABLE 5-13: DEMAND OF UNIVERSITIES & CONTRIBUTION TO PEAK PERIOD TABLE 5-14: UNIVERSITIES SOLAR ESTIMATE TABLE 5-15: LIST OF SELECTED HOSPITALS TABLE 5-16: AGGREGATED CAPACITY & ENERGY DEMAND FOR MAJOR HOSPITALS TABLE 5-17: MONTHLY MAXIMUM LOAD (PEAK) FOR MAJOR HOSPITALS TABLE 5-18: CURRENT TARIFF AND CONSUMER CATEGORY FOR MAJOR HOSPITALS TABLE 5-19: MONTHLY BILLING UNITS MAJOR HOSPITALS TABLE 5-20: DEMAND OF HOSPITALS AND CONTRIBUTION TO PEAK PERIOD ( ) TABLE 5-21: DEMAND OF HOSPITALS AND CONTRIBUTION TO PEAK PERIOD TABLE 5-22: DEMAND OF HOSPITALS & CONTRIBUTION TO PEAK PERIOD TABLE 5-23: HOSPITALS SOLAR ESTIMATE TABLE 5-24: LIST OF SELECTED BUILDINGS iii June 2016

22 Demand For Distributed Renewable Generation TABLE 5-25 : AGGREGATED CAPACITY FOR PUBLIC BUILDINGS TABLE 5-26 : MONTHLY MAXIMUM LOAD (PEAK) FOR PUBLIC BUILDINGS TABLE 5-27: CURRENT TARIFF AND CONSUMER CATEGORY FOR PUBLIC BUILDINGS TABLE 5-28: MONTHLY BILLING UNITS TABLE 5-29: DEMAND OF BUILDINGS & CONTRIBUTION TO PEAK PERIOD OF SUPPLY TABLE 5-30: DEMAND OF BUILDINGS & CONTRIBUTION TO PEAK PERIOD TABLE 5-31: DEMAND OF BUILDINGS & CONTRIBUTION TO PEAK PERIOD TABLE 5-32: PUBLIC BUILDINGS SOLAR ESTIMATE TABLE 6-1: PMS RECORDED FORECAST (EXCLUDING LOAD SHEDDING) TABLE 6-2: PMS COMPUTED BASE FORECAST TABLE 6-3: MAXIMUM LOAD RECORDED TABLE 6-4: UNITS BILLED OF TAIL END GRIDS TABLE 6-5: PERCENTAGE LOSSES TABLE 6-6: CATEGORY WISE CONSUMER STATISTICS TABLE 6-7: LENGTH AND SIZE OF CONDUCTORS TABLE 6-8: DISTRIBUTION & CAPACITY WISE TRANSFORMER TABLE 6-9: EXISTING AND PROJECTED DEMAND OF TAIL END GRIDS TABLE 6-10: ENERGY, GENERATION AND DEMAND FORECAST FOR DISTRICT: CHAKWAL TABLE 6-11: ENERGY, GENERATION AND DEMAND FORECAST FOR DISTRICT: JHELUM TABLE 6-12: 132 KV TALAGANG AND PINANWAL GRID STATIONS FOR SPECIFIC SITE TABLE 6-13: 132 KV TALAGANG AND PINANWAL GRID STATIONS FOR SPECIFIC SITE TABLE 6-14: BIO-DATA OF CONSUMERS- TALAGANG AREA TABLE 6-15: BIO DATA OF CONSUMERS PIND DADAN KHAN AREA TABLE 6-16: THE COST OF 10 KW, 12 KW & 15 KW GENERATING UNITS TABLE 6-17: SOLAR POWER WATER PUMPS PRICES CALCULATOR TABLE 6-18: 11 KV FEEDERS- PINANWAL GIRD STATION TABLE 6-19: 11 KV FEEDERS- TALAGANG GIRD STATION TABLE 6-20: COST AFFECTIVE TABLE 6-21: PRESENT SCENARIO (SOURCE THROUGH GRID SUPPLY) TABLE 6-22: ALTERNATIVE-ENERGY GENERATION THROUGH SOLAR PV PANEL TABLE 6-23: THE COST OF 10 KW, 12 KW & 15 KW GENERATING UNITS iv June 2016

23 INTRODUCTION Overview Demand For Distributed Renewable Generation There is a visible power generation deficiency since decade in Pakistan; resultantly power system is running under stress, huge gap in supply and demand is being met with through load management especially during summer season when the gap reaches to its peak. Considering yearly increase in 8% per annum, MW capacity addition in power generation is needed every year to mitigate this problem as a long terms solution. Government of Pakistan has launched numerous power generation projects to resolve this long outstanding issue and huge investment stands planned in public and private sector. Majority of generation projects would be governed on gas or coal. However without proper fuel mix, cost per unit generation could not be minimized. The most economical approach to meet with the ultimate growing demand is the application of alternative/ renewable energy sources like wind, solar, waste-toenergy, bio fuel, geothermal etc. Accordingly exploitation of alternative sources i.e. solar and wind are on the top of agenda of the government. The wind as an alternative source is available in many parts of the country, however it can be applied mostly in coastal areas whereas Pakistan has immense solar resources suitable for both photo voltaic (PV) and thermal i.e. concentrated solar power (CSP) application. The energy sector is one of three priority area for the World Bank s engagement in Pakistan. This includes development of renewable power generation, so that the energy sector meets electricity demand in an efficient, affordable and environmentally sustainable manner. Renewable energy, particularly solar and wind could make a substantial contribution in mitigating the issue of inadequate generation capacity and transmission constraints. The World Bank is already supporting the ongoing renewable energy resource assessment and mapping in Pakistan, and this activity will build on the interim outputs from that work. The World Bank has undertaken a study to assess the potential for distributed energy generation, particularly through solar for large public buildings, major hospitals, major universities, water supply and sewerage pumps, agricultural pumps and agro processing units in selected areas of Pakistan. In this way the World Bank intends to set precedents for other big consumers category to adopt same method of power generation for the respective installations. This could be helpful in easing load on power generation, transmission lines besides improving, to some extent bills recovery situation as well. 1-1 June 2016

24 Project Background Demand For Distributed Renewable Generation The World Bank (WB) is undertaking a technical assistance activity to better understand the opportunities, challenges and policy barriers relating to scaling-up renewable energy in Pakistan, excluding large hydropower (which is already being extensively financed by the WB). The activity will also explore possible avenues for the WB in supporting government efforts in this regard, at federal and/or provincial levels. The activity is funded by the Asia Sustainable & Alternative Program (ASTAE), a multi-donor trust fund administered by the WB. The World Bank team working on this activity carried out a scoping mission in February 2015 in Islamabad, Karachi and Lahore. The preliminary findings of the mission conclude (i) that given the severe constraint on the transmission and distribution grid, distributed generation either close to load centers and/or at the margin of the grid may contribute more effectively to meeting the peak demand while reducing the losses in supply, and (ii) that further information will be needed in order to analyze the demand of distributed renewable energy generation in large cities and at the far end of the distribution grid. To support the scoping and prioritization process, which will help conceptualize WB s engagement under this activity, the team requires the services of a consultancy firm to assess the demand for, economically and technically feasible distributed renewable energy generation in Pakistan through targeted analysis focusing on Karachi, Lahore, and the wider Punjab Province. These locations are targeted due to their market size and potential for demonstration, but with the expectation that any successes could be replicated in other cities and provinces of Pakistan. Furthermore, the WB team is separately looking at off-grid opportunities for renewable energy which are particularly relevant to Balochistan Province. The Sindh provincial government recently called for proposals for developing distributed solar generation (5 X 20MW) projects under a Public Private Partnership (PPP) mode. In meeting with the WB mission team, K-Electric (the privately owned power utility responsible for supplying electricity to the Karachi area) indicated their interest in being part of the PPP scheme to satisfy, in particular, the demand for water and sewage pumping, hospitals, and public buildings. The Punjab provincial government has taken bold steps in attracting investment in renewable generation to meet its fast growing demand and 1,000 MW solar park is planned, of which the first 2x100 MW plant is now under commercial operation. in addition it recently called for proposals to develop distributed solar generation projects (50 sites, in the range of 5-15MW). In meeting with the WB mission team, QA Solar expressed interest in financing/building/operating 1-2 June 2016

25 Demand For Distributed Renewable Generation distributed solar generations in remote grid-connected areas in Punjab following an energy management company (also known as the Service Company (ESCO)) model. In a separate meeting, LESCO (the distribution company responsible for supplying electricity to the Lahore area) indicated their interest in cooperation with a third party (to be determined) who would finance, install, and operate distributed solar generation schemes to supply the demand for public buildings, hospitals, and universities. Project Objectives As one of several contributions to the WB s work program under this activity, the objectives of this consulting assignment are: To analyze the potential demand for provision of electricity from distributed renewable energy generation to help power water supply and sewage pumps, hospitals, and large public buildings in the Karachi area, and other groups of consumers where distributed generation can be beneficial; To analyze the potential demand for provision of electricity from distributed renewable energy generation to help power public buildings, hospitals, and universities in the Lahore area, and other group of consumers where distributed generation can be beneficial; To identify possible sites (including rooftops) for solar photovoltaic installations as distributed generation in both Karachi and Lahore; To analyze distributed renewable energy generation potential in remote grid-connected areas by identifying promising locations which exhibit the following characteristics, among others: land availability, technical feasibility, economic viability with limited government intervention, and a potentially interested off-taker (DISCO) To achieve the above objectives, WB commissioned a study for which they hired the services of Élan Partners (Pvt.) Limited Islamabad in association with Telecom Telematique Inc. (T/TI) USA to assess the demand for economic and technical feasibility of distributed renewable energy generation in Pakistan through targeted analysis focusing on Karachi, Lahore and wider Punjab province. These locations are targeted due to market size and potential of demonstration, but with the expectation that any success could be replicated in other cities and provinces of Pakistan. 1-3 June 2016

26 SCOPE OF WORK Demand For Distributed Renewable Generation The scope of work is divided into following three main components/tasks based on the objectives outlined in Section 1.3 of the report. For all components, the WB expects the work to involve a combination of desk-based analysis, meetings with the respective provincial governments, DISCOs, and other relevant stakeholders, and extensive travel and site surveys within and across Karachi, Lahore and in rural parts of Punjab. Figure 1-1 shows map of Pakistan showing location of all DISCOs including K- Electric, LESCO and IESCO Figure 1-1 Map of Pakistan 2-1 June 2016

27 TASK 1: KARACHI Data Collection (over a period of 3 years 2011-): A. General: B. Specific: Demand For Distributed Renewable Generation 1. Capacity and energy supplied by K-electric annually, 2. K-electric monthly billing and account receivables (unpaid), 3. Typical daily load curve (in peak season) and monthly peak in Karachi area, 4. Aggregated capacity and energy demand from (1) water supply and sewage pumps of Karachi Water and Sewerage Board, (2) major hospitals, and (3) 20 additional large public buildings respectively; 5. Typical daily load curve (in peak period) and monthly peak of these three consumer categories using respective feeder measurement as proxy, where applicable, back-up diesel generation should be included; 6. Current tariff applied to these three consumer categories; 7. Monthly billing and account receivables of these three consumer categories. 1. Number of pumps, unit capacity (kw), voltage, phase, AC or DC, location of these pumps; 2. Number of air conditioning units, unit capacity (kw), voltage, location of these units; 3. Major electric devices in addition to pumps and air conditioning units, their capacity, voltage, and location. Data Tabulation and Analysis Data tabulation and analysis should be carried out to provide: 1. Description of the characteristic of the current overall power supply system 2. Description of the characteristic of the demand of these three consumer categories and their respective contribution to the peak period of the supply system; 3. Location (illustrated on the map) of the medium/large electric devices of these three consumer categories; 4. Share of account receivables by these three consumer categories; 2-2 June 2016

28 Demand For Distributed Renewable Generation Preliminary Siting 5. Estimate of potential demand of these three consumer categories to be supplied and/or supplemented by solar photovoltaic installation. To identify siting options for the demand of these three consumer categories to be supplied and/or supplemented by distributed solar generation, such as direct on site, or an adjacent small solar park; 1. To identify possible sites (e.g. rooftop, car parking, available vacant land within the premises, sites suitable for small solar parks), based on discussions with the Sindh provincial government, K-electric, and owners of the buildings; 2. To collect the data on the available space (square meters) of these possible sites; 3. To measure the available space of rooftop for those selected buildings; 4. To illustrate on the map for each site (1) peak demand, (2) available space for solar installation, and (3) estimated solar installation capacity. TASK 2: LAHORE Data Collection (over a period of 3 years -): A. General: 1. Capacity and energy supplied by LESCO annually, 2. LESCO monthly billing and account receivables (unpaid), 3. Typical daily load curve (in peak season) and monthly peak in Lahore area, 4. Aggregated capacity and energy demand from (1) 20 large public buildings, (2) major hospitals, and (3) major universities respectively; 5. Typical daily load curve (in peak period) and monthly peak of these three consumer categories using respective feeder measurement as proxy, where applicable, back-up diesel generation should be included; 6. Current tariff applied to these three consumer categories; 7. Monthly billing and account receivables of these three consumer categories. 2-3 June 2016

29 Demand For Distributed Renewable Generation B. Specific 1. Number of air conditioning units, unit capacity (kw), voltage, location of these units, 2. Major electric devices in addition to air conditioning units, their capacity, voltage, and location. Data Tabulation and Analysis Data tabulation and analysis should be carried out to provide: 1. Description of the characteristic of the current overall power supply system by LESCO, 2. Description of the characteristic of the demand of these three consumer categories and their respective contribution to the peak period of the supply system, 3. Share of account receivables by these three consumer categories, 4. Estimate of potential demand of these three consumer categories to be supplied and/or supplemented by solar photovoltaic installation. Preliminary Siting 1. To identify siting options for the demand of these three consumer categories to be supplied and/or supplemented by distributed solar generation, such as direct on site, or an adjacent small solar park; 2. To identify possible sites (e.g. rooftop, car parking, available vacant land within the premises, sites suitable for small solar parks), based on discussions with the Punjab provincial government, LESCO, and owners of the buildings; 3. To collect the data on the available space (square meters) of these possible sites; 4. To measure the available space of rooftop for those selected buildings; 5. To illustrate on the map for each site (1) peak demand, (2) available space for solar installation, and (3) estimated solar installation capacity. TASK 3: END-OF-GRID Screening Analysis A. To discuss with the concerned distribution companies (DISCOs) for a preliminary list by reviewing the records of DISCOs about: 2-4 June 2016

30 Demand For Distributed Renewable Generation 1. Distribution line length, phase, cross section, electric configuration (single line diagram if it exists), and technical losses, 2. Capacity and energy (MWh) supplied to those remote areas annually, 3. Monthly billing and account receivables (unpaid), 4. Typical daily load curve (in peak season) and monthly peak in concerned DISCOs respectively B. To discuss/review with the Punjab Provincial Government and other key stakeholders about the prospect of economic growth and development plans in those remote areas; C. To estimate the potential aggregated demand (capacity and energy use) from the preliminary list to be supplied and/or supplemented by solar, wind or other renewable generation; Site-Specific Demand Analysis and Least Cost Analysis These more in-depth analyses are designed (i) to inform the final selection of the distributed renewable generations, and (ii) to ensure the economic viability and sustainability of the projects. D. Selecting 1-2 sites in consultation with key stakeholders for more in-depth site specific investigation and analysis based upon the result of the screening analysis, E. Collecting data on population, economic activities and development plan, and electricity demand and supply, 1. Number of pumps, unit capacity (kw), voltage, phase, AC or DC, and location, 2. Major electric devices (in particular, agriculture and agro-processing related) in addition to pumps, their capacity, voltage, and location, 3. Typical daily load curve (in peak period) and monthly peak, where applicable, back-up diesel generation should be included, 4. Cost estimate of diesel back-up generation (US cent/kwh). F. Estimating the potential demand (capacity and energy use) to be supplied and/or supplemented by solar photovoltaic installation in each selected site for a period over 10 years, G. Carry out preliminary least cost analysis to compare options of increased supply from central generation versus local solar generation in permutation 2-5 June 2016

31 Demand For Distributed Renewable Generation with other available loss reduction measures (such as elevated distribution voltage, re-conductoring, or system reconfiguration); Preliminary Siting 1. To identify siting options for the demand to be supplied and/or supplemented by distributed renewable energy sources, such as direct on site, or a small renewable energy park supplying a group of sites; 2. To identify possible sites based on discussions with the Punjab Provincial Government and other stakeholders; 3. To collect the data on the available space of these possible sites; 4. To illustrate on the map for each site (1) peak demand, (2) available space, and (3) estimated solar/renewable installation capacity. Deliverables / Specific Outputs Expected from Vendor The Consultant shall deliver: Regular updates to the WB team via both and tri-weekly video conference calls; Formatted data from all standardized site visits and other survey data, uploaded to the WB s Open Data Platform, including use of mapping visualizations and other charts/tools as relevant; A final report summarizing the data, analysis, findings, and recommendations with relevant attachments, to be delivered at the end of the assignment. 2-6 June 2016

32 METHODOLOGY Demand For Distributed Renewable Generation The terms of reference (ToR) pertains to three different distribution companies viz; K-Electric, LESCO, End-of-Grid. However specific Distribution Company with regard to End-of-Grid was not mentioned, therefore in consultation with the World Bank, IESCO was selected to study the End-of-Grid System. Each of the three tasks had different dynamics i.e. the K-Electric is a vertically integrated system and is fully managed by private sector whereas LESCO is a Government controlled utility. Though IESCO is also a Government controlled utility but it had to be looked into differently from the study of LESCO as, in IESCO, End-of-Grid system had to be studied. Accordingly different methodology had to be used for each task of the study. Élan appointed three dedicated teams to perform activities according to scope of work against Task 1, 2 and 3 of ToR. Task 1 pertains to K-Electric, Task 2 pertains to LESCO and Task 3 related to End-of-Grid (IESCO) respectively. Each team comprised of 3 engineers (a senior engineer as team leader along with 2 junior engineers). The activities as per ToR for K-Electric and LESCO were very much identical except slight differences in identifications of locations/category consumers, whereas in case of one of distribution company (IESCO) screening analysis, site specific demand analysis and least cost analysis for installation of solar panels on agri pumps is involved. Data collection was the most important, time taking and vital requirement of the project. It is common practice in Pakistan for public and private sector entities to be reluctant to share system operational data with consultants, and there were initial concerns expressed at the start of this project.. However, with the assistance from the WB officials, the heads of K-Electric and IESCO and LESCO agreed to cooperate with the consultant. To start with detailed meetings were held with the IESCO chief and he extended his cooperation by nominating a senior officer to act as a contact point of all data collection. In the meeting with LESCO chief, he also agreed to cooperate and share all publically available data. As far as K-Electric is concerned, their concerned personnel showed great enthusiasm in the study and cooperated well. However, since the privatization of the company, their data bank is highly centralized and consequently their staff also got problem in accessing some operational data. However, the consultant team was able to get maximum system related data from them. Where ever it was not possible to get specific data, the consultant has used its best technical judgment. In addition to meeting with officials of K-Electric, LESCO and IESCO the teams deputed for Karachi and Lahore also visited and discussed with relevant officials 3-1 June 2016

33 Demand For Distributed Renewable Generation of Karachi Water and Sewerage Board, major hospitals and large public buildings at Karachi and Lahore and major universities at Lahore. Team deputed for IESCO had detailed discussion with their technical staff to identify and select two grids for detailed study. Consequent of discussion with IESCO, the team selected and visited 132kv Talagang and Pinanwal end of grid stations located in rural areas of Punjab. Overall each task was divided into three phases. The first phase involved visits to various offices/buildings/grids/sites etc. and discussion with relevant officials to collect general and specific data; data tabulation and analysis was carried out in the second phase and in third phase report writing was finalized. Tasks 1, 2 & 3 are separately discussed in detail in chapters 4, 5 & 6 of this report respectively. 3-2 June 2016

34 KARACHI (TASK I) K Electric Introduction Demand For Distributed Renewable Generation K-Electric Limited formerly known as Karachi Electric Supply Company Limited (KESC) is the only vertically-integrated power utility in Pakistan that manages the generation, transmission and distribution of electricity to the city. The Company supplies electricity to all industrial, commercial, agricultural and residential areas that come under its network, comprising over 2.2 million customers in Karachi, the financial and industrial hub of Pakistan and in the nearby towns of Dhabeji and Gharo in Sindh and Hub, Uthal, Vindar and Bela in Balochistan. Figure 4-1 shows K- Electric power system map. Figure 4-1: K-Electric Power System K-Electric produces electricity from its own generation units with an installed capacity of 2341 MW and generates almost 52% electricity and purchases remaining from various Independent Power Producers (IPPs), Central Power Purchase Agency (Guarantee) CPPA (G), and the Pakistan Atomic Commission (PAEC) through import. 4-1 June 2016

35 Demand For Distributed Renewable Generation The purchased and own generated electricity is transmitted through transmission network that comprises of total 1,249 km of 220KV, 132 KV and 66 KV transmission lines with 62 grid stations and 128 power transformers interconnected with the NTDC grid system through 220KV transmission system. K-Electric s distribution network ranks amongst the largest electricity networks in Pakistan. Power is supplied to consumers through a network of power lines, substations and pole-mounted transformers. The K-Electric distribution system consist of 1,340, 11 KV feeders with 2701 substations. There are 13,992 distribution transformers with 4,973 MVA capacities. K-Electric has succeeded in reducing line losses and recoveries in the low and medium loss areas through various process-driven initiatives. The Company s transmission losses in June were less than 1.5% as shown in Figure % Figure 4-2: K-Electric Transmission Losses 2.00% 1.50% 1.00% 0.50% 0.00% Transmission Losses Source: K-Electric Annual report -14 Annual Transmission & Distribution (T&D) losses at the end of FY14 stood at 25.3%, representing a 10.6% reduction since FY09 as shown in Figure June 2016

36 Demand For Distributed Renewable Generation Figure 4-3: K-Electric T&D Losses (%) Rolling Average 38.0% 36.0% 35.9% 34.9% T&D Losses 34.0% 32.0% 30.0% 28.0% 26.0% 24.0% 22.0% 32.2% 29.7% 27.8% 25.3% 20.0% June-09 June-10 June-11 June-12 June-13 June-14 Source: K-Electric Annual report -14 Methodology The Task included data collection, tabulation and analysis related to K-Electric system, Karachi Water & Sewerage Board (KWSB), Major Hospitals and 20 Large Public buildings in Karachi city. At the outset the Team visited Karachi and held discussions with concerned officials to fully understand ToR and objective of the assignment, methodology and approach for data collection particularly related to KWSB, large buildings, hospitals besides K-Electric related data. After detailed discussion five large pumping stations and three sewage treatment plants (since there are many large, medium and small installations that includes pumping stations and sewage, spread all over Karachi and data collection from all was not possible in limited time of the assignment) was selected. In the same manner five major hospitals and twenty large public buildings also selected. The Task was divided in three phases; in first phase data collection from large buildings was taken by physical survey of selected building; in second phase data collection from selected hospitals was taken followed by KES&SB. The K-Electric officials accompanied with consultant where ever it was possible. The team developed data sheets in consultation with K-Electric officials for data related to K-Electric and other three categories of consumers and handed over to KE officials. K-Electric agreed with the Consultant s team to provide the required data after signing of non-disclosure agreement between the Consultant and the K-Electric. This agreement restricts the consultant not to share K-Electric data with other department except World Bank. Data tabulation and analysis continued simultaneously. 4-3 June 2016

37 Data Collection and Analysis Demand For Distributed Renewable Generation Following data related to K-Electric were collected and is provided in Tables 4-1 to 4-4 whereas graphs for daily load curves are provided at Figures 4-4 to 4-6 and Figure 4-7 represents monthly peak demand in Karachi area: Capacity and supplied by K-Electric Annually (- ) K-Electric Monthly Billing (-) Account Receivables (-) (Provided in Annexure-I ;VOL 3 of 3) Typical Daily Load Curve (in peak seasons) Monthly Peak in Karachi Area (-) Analysis A brief analysis of the above data is as under: Billing and accounts receivable data show that their recoveries had been extremely good. This shows that their recovery mechanism is strong and making good recoveries as compared to other utilities in rest of the country. In addition their recoveries are improving every passing year. Daily load curve for all the three years indicates that peak comes in the afternoon. This is somewhat different from the rest of utilities in the country where peak normally is in late evening. This is due to typical weather condition of Karachi where afternoon is more humid and hot thereby air conditioning load goes high whereas in the other parts of the country afternoon starts becoming cooler. As far as high demand period is concerned, it starts from around 9.00 in the morning and goes to 7.00 in the evening; this due to industries as Karachi is industrial hub of the country. Minimum demand in the area is in between 6.00 to 9.00 in the morning. This is due to the reason that during this period most of commercial and business activities had not been started. Another interesting situation is that demand in K-Electric is normally high till mid night. This is a typical culture of Karachi where people go out to have fun late due to which commercial areas remain open till late night. Fiscal Year Ending 30th June Table 4-1: Capacity and Supplied by K-Electric Annually Peak Demand Own-Gross Auxiliary Consumption Purchase / Imports Total Units Sent Out 2,596 8, ,230 14,619 2,778 8, ,257 15,155 2,929 8, ,282 15,332 Source: K Electric 4-4 June 2016

38 Demand For Distributed Renewable Generation Table 4-2: K-Electric Monthly Billing PKR in Million Year Months Billing Billing Billing July 9,811 12,707 13,280 August 9,354 13,045 13,847 September 10,393 13,525 17,349 October 9,304 12,916 1,5,071 November 10,276 12,190 12,471 December 8,336 10,285 12,987 January 7,612 9,084 12,242 February 7,586 9,224 11,945 March 7,769 9,748 12,939 April 9,565 11,706 14,935 May 10,947 12,594 17,658 June 13,395 15,040 19,133 Source: K Electric Table 4-3: Typical Daily Load Curve in Peak Seasons of Year -14 For Fiscal Year For Fiscal Year For Fiscal Year Hours of the Day 22nd May, 19th June, 18th June, 01:00 2,422 2,605 2,694 02:00 2,361 2,555 2,672 03:00 2,306 2,496 2,535 04:00 2,245 2,488 2,527 05:00 2,226 2,428 2,506 06:00 2,162 2,396 2,488 07:00 2,140 2,382 2,427 08:00 2,171 2,387 2,479 09:00 2,353 2,592 2,669 10:00 2,407 2,711 2,749 11:00 2,456 2,712 2,780 12:00 2,480 2,761 2,843 13:00 2,493 2,703 2,839 14:00 2,501 2,675 2,827 15:00 2,596 2,771 2,914 16:00 2,562 2,778 2,929 17:00 2,583 2,712 2,842 18:00 2,469 2,656 2,729 19:00 2,423 2,536 2,718 20:00 2,524 2,671 2,705 21:00 2,457 2,606 2,735 22:00 2,448 2,646 2,709 23:00 2,482 2,722 2,736 24:00 2,475 2,710 2,735 Source: K Electric 4-5 June 2016

39 01:00 02:00 03:00 04:00 05:00 06:00 07:00 08:00 09:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 24:00 01:00 02:00 03:00 04:00 05:00 06:00 07:00 08:00 09:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 24:00 Demand For Distributed Renewable Generation Figure 4-3: Typical System Demand for Base Load Intermediate Load Actual Load Month Day Date Peak Time Peak Load May Tuesday 22/05/ 15:00 2,596 Figure 4-4: Typical System Demand for Base Load Intermediate Load Actual Load Month Day Date Peak Time Peak Load June Thursday 19/06/ 16:00 2, June 2016

40 MW 01:00 02:00 03:00 04:00 05:00 06:00 07:00 08:00 09:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 24:00 Demand For Distributed Renewable Generation Figure 4-5: Typical System Demand for Base Load Intermediate Load Actual Load Month Day Date Peak Time Peak Load June Wednesday 18/06/ 16:00 2, Table 4-4: Monthly Peak Load in Karachi Area Months July 2,450 2,507 2,666 August 2,449 2,436 2,598 September 2,446 2,450 2,604 October 2,442 2,543 2,654 November 2,347 2,382 2,400 December 2,234 2,033 2,101 January 1,875 1,915 1,861 February 1,893 1,972 1,913 March 2,246 2,363 2,208 April 2,385 2,500 2,665 May 2,596 2,683 2,805 June 2,561 2,778 2,929 Source: K Electric Figure 4-6: Monthly Peak in Karachi Area 0 Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Months fiscal year 2011~12 fiscal year 2011~13 fiscal year 2011~ June 2016

41 Demand For Distributed Renewable Generation Karachi Water & Sewerage Board (KWSB) Introduction.Karachi was the first capital city of the country after its birth in With a current population of Karachi is over 20 million, Karachi is the commercial and financial center of Pakistan. However, it has been plagued with chronic water shortages as well as deterioration of water quality as a result of rapid urbanization and population increase. The water supply system is normally disturbed due to frequent electricity supply interruptions and technical faults at KWSB installations there by creating a lot of inconvenience to the population at large. In addition heavy electricity bills are not manageable due to budgetary constraints. Further they cannot make adequate expenditure in maintenance of their system due to resource constraints. Therefore there is a dire need to reduce KWSB s electricity bills. With the introduction of distributed renewable power generation this issue can be managed and improve water supply system of greater Karachi. This is also one of the objectives of this study. KWSB The Karachi Water & Sewerage Board (KWSB) was created in February 1983 under the Karachi Metropolitan Corporation (KMC). Under the Act in 1996, Karachi Water & Sewerage Board (KWSB) was separated from KMC and working under provincial Government. The Karachi Water & Sewerage Board is a service based consumer oriented organization responsible for production, transmission and distribution of potable water to the citizen of Karachi, managing sewerage system within the city to ensure hygienic environment, development of scheme to cover short falls in services and collection of revenues for sustained economic viability. Source of Supply There are two sources of water supply in Karachi; i. River Indus supplies 1,200 cusecs daily equal to 645 MGD; and ii. Hub dam supplies about 50 MGD. The Hub dam supply is rain fed so it fluctuates between about MGD. The total water supply to Karachi is 695 MGD. However, 30 MGD are supplied to the Steel Mills and Port Qasim before the water reaches the Dhabeji pumping station leaving the city with 665 MGD. 4-8 June 2016

42 Demand For Distributed Renewable Generation Bulk Distribution The supply from the River Indus comes via canals from Keenjhar, Haleji, Gharo and through conduits to the Dhabeji pumping station. The water is then distributed via conduits and distribution mains of diameters 66 inches and below. The routes are divided into, i. Northern - via Pipri to parts of the Malir cantonment areas, Gulshan COD reservoir, Gulshan Town then parts of Gadap, North Karachi, NEK, North Nazimabad, Gulberg, Liaquatabad and parts of Lyari; and ii. Southern, i.e Bin Qasim town, Landhi, Korangi, along the National Highway to Shah Faisal, Jamshed town, Saddar town (including Defense/Clifton), Leyari and Kemari. The water mains at places are interconnected. The Hub source supply is mainly for Orangi, SITE and Baldia towns. The Hub and Indus supplies at the level of the distribution mains are interconnected. The supply is therefore shared, as needed. Greater Karachi Bulk Water Supply System (GKBWSS) The older system of water supply in Karachi could not cope up with the growing demand. In order to meet shortages in supply and to cater to future demands of the expanding city, the Greater Karachi Bulk Water Supply Scheme was designed in 1953 for supply of 280 MGD potable water to the city. On the basis of a population projection of 3 million by the year 2000, the scheme was designed and divided into four equal phases, each of 70 MGD. It comprises of open canals, covered conduits, a tunnel, siphons, pumping stations, mains and draws water from the Keenjhar Lake. First Phase The First Phase of the scheme for bringing 70 MGD Keenjhar Lake water to the city with raw-water pumping at Dhabeji, a 70 MGD water treatment plant at COD Hills, Karachi and complete water conveyance system comprising of a 280 MGD lined canal, a conduit of equal capacity up to Pipri and of 140 MGD capacity up to Karachi, a 10 MG reservoir at COD Hills along with the distribution net-work was started in 1954 and completed in 1961at a total cost of PKR185 Million. Second Phase Contract for the Second Phase works were awarded in The main works included construction of a 70 MGD pump house at Dhabeji, laying of 84 diameter pre-stressed pipe siphons a 25 MGD pump house at Pipri and two water treatment plants of 25 and 45MGD along with 10MG reservoirs at Pipri and COD Hills respectively. Some additional trunk mains were also laid for improving the distribution system. The second phase works were completed in early 1971 at a total cost of PKR 200 Million. 4-9 June 2016

43 Demand For Distributed Renewable Generation Third Phase The Third Phase works were taken up in 1975 and were commissioned in The works completed include construction of a 70 MGD pumping station at Dhabeji, two pumping stations along with water treatment plants of 25 MGD capacity each at North East Karachi and Pipri, 84 diameter pipe syphone, three balancing reservoirs and the distribution mains. Total cost of these works was PKR 750 million. A reservation for supply of 22 MGD of un-filtered water to Karachi Steel was also made under this phase. Fourth Phase Due to financial constraints, Fourth Phase work was divided into two parts. Under first stage, improvement of lined canal, modifications of the present Dhabeji Pumping stations, laying of 84 diameter pipe syphons, construction of a 25 MGD pump house and clarification units at Pipri, improvement of the secondary distribution net-work and installation of domestic meters in K.D.A. Scheme No.1 & 5 was taken up with the World Bank assistance and completed by June, After completion of these projects at a total cost of PKR million the city water supply was augmented by 50 MGD. In 1992, the lining works of the Keenjhar-Gujjo (KG) canal was completed; water from Keenjhar Lake has been conveyed to the Gujjo Head-works through the KG canal only. Before 1992, the Jam Branch canal was used to convey water from Keenjhar Lake to the Gujjo Head-works when KG canal was closed for maintenance and lining. Now, the Jam Branch canal is only used for emergencies. From the Gujjo Headwork water is further conveyed to Dhabeji pumping station through the Reinforced Cement Concrete (RCC) canal (315 MGD) and the K-II/K-III canal (200 MGD). The total conveyance capacity between Gujjo and the Dhabeji pumping station is 515 MGD. The existing water supply system is shown in Figures 4-7, 4-8 & June 2016

44 Demand For Distributed Renewable Generation Figure 4-7: Existing KWSB Water Supply System Source: KWSB Master Plan Figure 4-8: Single Line Diagram of KWSB Water Supply System Source: KWSB Master Plan 4-11 June 2016

45 Demand For Distributed Renewable Generation Figure 4-9: Single Line Diagram of KWSB Water Supply System Methodology In KWSB system, there are more than 150 small, medium and large pumping stations spread in all over the city, some of these are not operational. In order to assess the full potential of distributed power generation, it was essential to analyze each and every installation in detail. However this was not possible in given time frame. Therefore the consultant selected five major pumping stations and their treatment plants. This selection was done in consultation with K-Electric. It was assumed that detailed analysis of selected installations could give fair idea for suitability/viability of distributed power generation. However, a detailed study will need to be conducted once a decision is taken for implementation distributed power generation projects. For this study, five major pumping stations and three sewerage treatment plants of KWSB were selected as given in the Table 4-5 below: 4-12 June 2016

46 Demand For Distributed Renewable Generation Table 4-5: Selected KWSB Pumping Stations & Sewage Treatment Plants Sr # Name of KWSB Sites Coordinates Total Area (sq. m) 1 Dhabeji Pumping Station N E 870,074 2 Pipri Pumping Station N E 420,873 3 North East Karachi Pumping Station N E 299,467 4 Hub Pumping Station N E 80,120 5 Gharo Pumping Station 24 44'41.70"N 67 34' 59.21"E 72,843 Selected KWSB Sewage Treatment Plants 6 Sewage Treatment Plant-I N E 526,493 7 Sewage Treatment Plant-II N E 107,200 8 Sewage Treatment Plant-III N E 4,971,000 These eight sites of KWSB were chosen, having dedicated feeder. Commercial data and most of the technical data were collected from K-Electric whereas technical data that was not available were developed with the data gathered at site and using our best technical judgment. As there was change in K-Electric s management information system from Oracle to SAP, the maximum demand record was not available for the fiscal year therefore it was calculated mathematically by taking in to account the average of the load factors of the next two years. In order to collect capacity and energy demand data, physical visit to the selected pumping stations and sewage treatment plant was necessary. Therefore to get blessings/permission from the management of KWSB a meeting was held with Director Planning. Since they already had received letter from the World Bank, therefore they were aware of the purpose of study and cooperated with the consultant team and provided the required data. KWSB also deputed a Superintendent Engineer working in their Hub Pumping Station for necessary coordination for site visits and managing the data. Collection of data was still not an easy task as there were long delays and also a lack of officially documented data. Primary issue was that they don t have adequate data base and records. This could be due to non-availability of adequate facility for data recording. However, only some of the data was provided through official channel. Other data was gathered through search on the internet from their website. In addition, most of the data gathered was based on what we were told by the concerned person and what we generally observed during our visits and meetings. Data Collection and Analysis The Data obtained directly from K-Electric and KWSB are as follow; Complete Billing data of KWSB for the fiscal years i.e., and is taken from K-Electric June 2016

47 Demand For Distributed Renewable Generation Load data of each selected KWSB sites was taken from KWSB and gathered from the site visits 1. From the above information, following tabulation work was made: o Aggregated Capacity of each site o Monthly Peak Load of each site o Current Tariff applied to each Consumer during fiscal year, and o Monthly Billing and account Receivable of each site All pumping stations and sewage treatment plants of KWSB are separately discussed in subsequent sections. Dhabeji Pumping Station Dhabeji Pumping Station situated at Dhabeji approximately 40 Km from Karachi on National Highway. It was built under first phase of greater Karachi bulk water supply system in 1961 through which 70 MGD Kinjhar Lake water was supplied to the city. The capacity of this pumping station was enhanced with the construction of various phases of greater Karachi bulk water supply system. Hence after completion of 4 th phase of the water supply system, capacity of Dhabeji pumping station has increase to about 650 MGD water supplies to the system with 225 MGD supply capacity as standby. A photograph of Dhabeji Pumping Station is shown in Figures 4-10 Figure 4-10: A photograph of Dhabeji Pumping Station 1 Being big individual consumer power supply to all KWSB installations is being made through multiple feeders and multiple energy meters. Accordingly hourly load data is neither being maintained by K-Electric nor by KWSB. Therefore this data is not available. However, by virtue of type of facility all the pumps work on full load on round the clock basis June 2016

48 Demand For Distributed Renewable Generation Aggregated Capacity The aggregated capacity of pumps and aggregated energy demand during the fiscal years,, and at Dhabeji pumping station are given in the Table 4-6. Table 4-6: Aggregated Capacity and Demand of Dhabeji Pumping Station Name of Site Capacity Capacity Capacity Dhabeji Pumping Station Pumps Monthly Peak Load The total Monthly Peak load of all electric connections at Dhabeji Pumping station during the fiscal year, and are given in the Table 4-7 and Figure This was calculated with help of monthly energy data, maximum demand data available for other years. Table 4-7: Monthly Peak Load of Dhabeji Pumping Station Months July August September October November December January February March April May June June 2016

49 MW Demand For Distributed Renewable Generation Figure 4-11: Monthly Peak of Dhabeji Pumping Station Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Months 2011~12 ~13 ~14 Current Tariff Applied K-Electric provided seven connections to the Dhabeji pumping station. The Tariff against the each connection is B3-IH under Industrial Category. Monthly Billing & Account Receivables The monthly billing and account receivables of Dhabeji Pumping Station are calculated from the billing statements provided by K-Electric. The monthly billing is given in Table 4-8 while account receivables table is provided in Annexure II; VOL 3 of June 2016

50 Demand For Distributed Renewable Generation Months Table 4-8: Monthly Billing of Dhabeji Pumping Station PKR in Million Amount Amount Amount July August September October November December January February March April May June Pipri Pumping Station Pipri pumping station is located on National Highway-Super Highway link road. It was built under 2nd phase of Greater Karachi Bulk Water Supply System (GKBWSS). A 25 MGD pump house, 25 MGD water treatment plant, and 10 MG water reservoir were installed during the 2nd phase of the Greater Karachi Bulk Water Supply System Scheme. Third phase of this scheme saw an addition of two pumping stations as well as 25 MGD water treatment plant at Pipri by A total of 28 pumps and 80 air conditioning units have been installed at this station. However air conditioning units were installed in residential houses where un-metered electricity is being used and is charged to the pumping station. Aggregated Capacity The aggregated capacity of pumps are given in the Table 4-9 Table 4-9: Aggregated Capacity and Demand at Pipri Pumping Station Name of Site Pipri Pumping Station Capacity Capacity Capacity Monthly Peak Load The total Monthly Peak load of all electric connection at Pipri Pumping station is given in the Table 4-10 & Figure This also calculated in the manner stated for Dhabeji pumping station June 2016

51 MW Demand For Distributed Renewable Generation Months Table 4-10: Monthly Peak Load of Pipri Pumping Station July August September October November December January February March April May June Figure 4-12: Monthly Peak of Pipri Pumping Station Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Months 2011~12 ~13 ~ June 2016

52 Demand For Distributed Renewable Generation Current Tariff Applied According to K-Electric data; two energy meters are installed at Pipri pumping station against consumer No.BH and BH having sanctioned load of 1800kW and 2000kW and tariff category B3-IH and AI-R Monthly Billing & Account Receivables The monthly billing and account receivables of Pipri Pumping Station are calculated from the billing statements provided by K-Electric. The monthly billing is given in the Table 4-11 while account receivables table is provided in Annexure III; VOL 3 of 3 Months Table 4-11: Monthly Billing of Pipri PKR in Million Amount Amount Amount July August September October November December January February March April May June North East Karachi Pumping Station North East Karachi pumping station is located at Abdullah Gabol Super Highway link road, Gadap Town. Two pumping stations along with water treatment plant of 25 MGD were installed during the 3 rd phase of the Greater Karachi Bulk Water Supply System Scheme by A total 43 pumps and 167 air conditioning units have been installed to date in the station. However air conditioning units were installed in residential houses where un-metered electricity is being used and is charged to the pumping station. Aggregated Capacity The Aggregated Capacity of all Pumps at North East Karachi Pumping Station (NEK) are given in the Table June 2016

53 MW Demand For Distributed Renewable Generation Table 4-12: Aggregated Capacity and Demand at NEK Pumping Station Name of Site North East Karachi Pumping Station Capacity Capacity Capacity Monthly Peak Load The total Monthly Peak load in MW of all electric connection is given in Table 4-13 and Figure Table 4-13: Monthly Peak Load of NEK Pumping Station Months July August September October November December January February March April May June Figure 4-13: Monthly Peak of NEK Pumping Station 0.00 Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Months 2011~12 ~13 ~ June 2016

54 Demand For Distributed Renewable Generation Current Tariff Applied According to K-Electric data; two energy meters are installed at North East Karachi pumping station against consumer No.BH and BH having connected/ sanctioned load of 3130kW/ 2330kW each and tariff category are B3-IH (Industrial) Monthly Billing & Account Receivables The monthly billing of North East Karachi Pumping Station is given in the Table 4-14 while table of account receivables is provided in Annexure-IV ; VOL 3 of 3. Months Table 4-14: Monthly Billing of NEK Pumping Station PKR in Million Amount Amount Amount July August September October November December January February March April May June Hub Pumping Station Hub Pumping Station formally known as Mangopir Pumping station. A 151 ft. high and 21,000 ft. long earthen dam was constructed by WAPDA on Hub River for creating a reservoir of almost one million acre feet storage capacity for meeting the agricultural and industrial water supply requirements of Baluchistan and for supply of 89 MGD water to Karachi for domestic use. The quality of Hub Water is comparable to Indus water and therefore, similar parameters for pumping and treatment have been adopted. The project was designed for completion in two stages. Stage-I works which comprised of a 90 MGD pump house, two steel pressure mains one 20MG reservoir, trunk mains and primary treatment of lake water by screening and chlorination were completed and commissioned in August, Stage-II works, which comprise of improvement of secondary distribution network and construction of a 90 MGD water treatment plant, will be taken up after the required fund are made available by the Govt June 2016

55 MW Demand For Distributed Renewable Generation Aggregated Capacity The Aggregated Capacity of all Pumps at HUB Pumping Station is given in the Table Table 4-15: Aggregated Capacity and Demand of HUB Pumping Station Name of sites HUB Pumping Station Capacity Capacity Capacity Monthly Peak Load The total Monthly Peak load of electric connection at HUB Pumping station is given in the Table 4-16 & Figure 4-14 Month of the Year Table 4-16: Monthly Peak Load of HUB Pumping Station July August September October November December January February March April May June Figure 4-14: Monthly Peak of HUB Pumping Station Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Months 2011~12 ~13 ~ June 2016

56 Demand For Distributed Renewable Generation Current Tariff Applied According to K-Electric data; one energy meter is installed at HUB pumping station against consumer No.BH has connected/ sanctioned load of 3250kW/ 6500kW. The Tariff category against this connection is C2-HT (Industrial). Monthly Billing & Account Receivables The monthly billing of HUB Pumping Station (HPS) is given in the Table 4-17 while table of accounts receivable is provide in Annexure V; VOL 3 of 3. Months Table 4-17: Monthly Billing of HPS PKR in Million Amount Amount Amount July August September October November December January February March April May June Gharo Pumping Station Gharo Pumping Station is located in Gharo near Gharo Super highway link road. Two pump houses with the capacity of 10 MGD each and two water treatment plants of equal capacity have been installed in Gharo Pumping Station. A total of 20 pumps and 70 air conditioning units have been installed in houses at this station. Aggregated Capacity The Aggregated Capacity of all Pumps at this Pumping Station is given in the Table 4-18 Table 4-18: Aggregated Capacity and Demand of Gharo Pumping Station Name of Sites Gharo Pumping Station Capacity Capacity Capacity June 2016

57 MW Demand For Distributed Renewable Generation Monthly Peak Load The MDI recorder is installed on tariff category B-3 (Industrial consumer) only. Therefore, same monthly load factor is considered for the domestic category connection. The total Monthly Peak load of electric connection is given in the Table 4-19 and Figure Month of the Year Table 4-19: Monthly Peak Load of Gharo Pumping Station July August September October November December January February March April May June Current Tariff Applied Figure 4-15: Monthly Peak of Gharo Pumping Station Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Months 2011~12 ~13 ~14 Two energy meters are installed at Gharo pumping station, one with old pump house against consumer No.BH and other with new pumping station against the consumer No.BH having connected/ sanctioned load of 548kW/440kW and 820kW/820kW respectively. The Tariff against the energy meter of consumer No.BH charged under domestic Tariff A1-R while of other energy meter is charged under Industrial Tariff B3-IH 4-24 June 2016

58 Demand For Distributed Renewable Generation Monthly Billing & Account Receivables The monthly billing of Gharo Pumping Station is given in the Table 4-20, while table of account receivables is provided in Annexure VI; VOL 3 of 3 Gharo Pumping Station Table 4-20: Monthly Billing of Gharo Pumping Station PKR in Million Amount Amount Amount July August September October November December January February March April May June Sewage Treatment Plants Sewage treatment is the process of removing contaminants from wastewater, primarily from household sewage. It includes physical, chemical, and biological processes to remove these contaminants and produce environmentally safe treated wastewater. A by-product of sewage treatment is usually a semi-solid waste or slurry, called sewage sludge that has to undergo further treatment before being suitable for disposal or land application. Sewage treatment may also be referred to as wastewater treatment, although the latter is a broader term which can also be applied to purely industrial wastewater. For most cities, the sewer system will also carry a proportion of industrial effluent to the sewage treatment plant which has usually received pretreatment at the factories themselves to reduce the pollutant load. If the sewer system is a combined sewer then it will also carry urban runoff (storm water) to the sewage treatment plant. Sewage can be treated close to where the sewage is created, which may be called a "decentralized" system or even an "on-site" system (in septic tanks, bio filters or aerobic treatment systems). Alternatively, sewage can be collected and transported by a network of pipes and pump stations to a municipal treatment plant June 2016

59 Demand For Distributed Renewable Generation Sewage Treatment Plant - I Sewage Treatment Plant I is located in the Sindh Industrial Trading Estate area. The drainage from the F.B. area, Liaquatabad, Nazimabad and North Nazimabad, Pak Colony, and part of Orangi Town flows to this sewage treatment plant for treatment. The site area of this treatment plant is about 120 acres (485,623m 2 ). The major facilities of this treatment plant include Influent pumps, Primary Settlement Tanks (PSTs), Treatment Facility (TF), Final Settlement Tanks (FSTs), and An aerobic digesters Sludge drying beds. Trickling filter process is used for treatment the wastewater. The capacity of this plant is 51 MGD (232,000 m 3 /d) but the plant has not been utilized to its full capacity. Currently it has been shut down for rehabilitation. Aggregated Capacity The Aggregated Capacity of all Pumps at Sewerage Treatment Plant - I is given in the Table 4-21 Table 4-21: Aggregated Capacity and Demand of Sewerage Treatment Plant - I Name of Site Sewerage Treatment Plant-I Capacity Capacity Capacity Monthly Peak Load The total Monthly Peak load of electric connection at this treatment plant is given in the Table 4-22 and Figure June 2016

60 MW Demand For Distributed Renewable Generation Table 4-22: Monthly Peak Load of Sewerage Treatment Plant I Months July August September October November December January February March April May June Figure 4-16: Monthly Peak of Sewage Treatment Plant I Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Months 2011~12 ~13 ~ June 2016

61 Demand For Distributed Renewable Generation Current Tariff Applied Only one energy meter is installed at this plant having consumer No.BH and connected/sanctioned load of 812kW/ 812kW each With Tariff category of B3-IH (Industrial). Monthly Billing & Account Receivables The monthly billing is given in the Table 4-23, while table of account receivable is provided in Annexure VII; VOL 3 of 3 Months Table 4-23: Monthly Billing of Sewage Treatment Plant-I PKR in Million Amount Amount Amount July August September October November December January February March April May June Sewage Treatment Plant-II Sewage Treatment Plant II consists of two pumping stations. Pumping Station-I is located in the Mehmoodabad area and Pumping Station-II is located in the Korangi area. The drainage from the areas of Old city, Clifton societies, Mehmoodabad, Dada Bhai, Sadder, Malir, and part of Azam Basti flows to this sewage treatment plant for treatment. The site area of this treatment plant is about 120 acres (485,623 m 2 ). The major facilities of this treatment plant include Influent pumps, Primary Settlement Tanks (PSTs), Treatment Facility (TF), Final Settlement Tanks (FSTs), and Anaerobic digesters Sludge drying beds. Trickling filter process is used for treatment of wastewater. The capacity of this plant is 46 MGD (209,000 m 3 /d) but the plant has not been utilized to its full capacity. This plant has been completely shut down years ago. Aggregated Capacity The Aggregated Capacity of all Pumps at this Plant is given in the Table June 2016

62 MW Demand For Distributed Renewable Generation Table 4-24: Aggregated Capacity and Demand of Sewage Treatment Plant-II Name of Site Sewerage Treatment Plant-II Capacity Capacity Capacity Monthly Peak Load The total Monthly Peak load at this Plant is given in the Table 4-25 and Figure 4-17 Months Table 4-25: Monthly Peak Load of Sewage Treatment Plant II July August September October November December January February March April May June Figure 4-17: Monthly Peak of Sewage Treatment Plant II Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Months 2011~12 ~13 ~ June 2016

63 Demand For Distributed Renewable Generation Current Tariff Applied According to K-Electric data; one energy meter is installed at this Sewerage Treatment Plant having consumer No.BH has connected/sanctioned load of 580kW/ 580kW each. The Tariff category applied is B3-IH (industrial). Monthly Billing & Account Receivables The monthly billing from the billing statements provided by K-Electric is given in the Table 4-26, while table of account receivable is provided in Annexure VIII; VOL 3 of 3 Months Table 4-26: Monthly Billing of Sewage Treatment Plant II PKR in Million Amount Amount Amount July August September October November December January February March April May June Sewage Treatment Plant-III Sewage Treatment Plant III is located in the Mauripur area. The drainage from the areas of Old Lyari, Garden East & West, Gulshan-e-Iqbal, PIB colony, Soldier Bazar, Baldia, Nazimabad, and North Karachi flows to this sewage treatment plant for treatment. The site area of this treatment plant is about 545 acres (2,206,000 m 2 ). The major facilities of this treatment plant include Influent pumps, Anaerobic Treatment Ponds (APs), Facultative Treatment Ponds (FPs), and Sludge drying beds. The process of treatment being used is Anaerobic + Facultative pond. The capacity of this plant is 54 MGD (245,000 m 3 /d) but the plant is not being utilized to its full capacity. Currently the plant has been closed for rehabilitation. Aggregated Capacity The Aggregated Capacity of Pumps at this Treatment Plant is given in Table June 2016

64 MW Demand For Distributed Renewable Generation Table 4-27: Aggregated Capacity and Demand of Sewage Treatment Plant - III Name of Site Capacity Capacity Capacity Sewerage Treatment Plant - III Monthly Peak Load The total Monthly Peak load is given in the Table 4-28 and Figure 4-18 Months Table 4-28: Monthly Peak Load of Sewage Treatment Plant - III Peak Load Peak load Peak load July August September October November December January February March April May June Figure 4-18: Monthly Peak of Sewage Treatment Plant III Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Months 2011~12 ~13 ~ June 2016

65 Demand For Distributed Renewable Generation Current Tariff Applied Two energy meters are installed at this Plant having consumer No.BH and BH having connected/ sanctioned load of 450kW/450kW and 453kW/400kW respectively. The Tariff category is B3-IH (Industrial). Monthly Billing & Account Receivables The monthly billing is given in the Table 4-29, while table of account receivables is provided in Annexure IX; VOL 3 of 3 Months Table 4-29: Monthly Billing Sewage Treatment Plant III PKR in Million Amount Amount Amount July August September October November December January February March April May June Specifics of KWSB Pumping Stations & Sewerage Treatment Plants The specific data regarding electrical load i.e. pumps, air condition units and other major electrical devices related to KWSB Pumping Stations & Sewage Treatment Plants are given in Annexure-I; VOL 2 of 3 Preliminary Siting & Analysis The Preliminary Siting at selected KWSB installation is given in the Table 4-30 below: 4-32 June 2016

66 Demand For Distributed Renewable Generation Table 4-30: Preliminary Siting of KWSB Name of Site Dhabeji Pumping Station Pipri Pumping Station & Filter Plant North East Karachi Pumping Station Hub Pumping Station Gharo Pumping Station & Filter Plant Sewage Treatment Plant-I Sewage Treatment Plant-II Sewage Treatment Plant-III Load (KW) Available Space (sq. m) 28, ,970 3, ,050 5, ,110 8,440 10,696 1,650 40, ,850 1,020 47, ,000 Possible Sites Estimated Solar Capacity (KW) Vacant Land within Premises & Rooftop 55,038 Vacant Land within Premises & Rooftop 21,044 Vacant Land within Premises & Rooftop 14,569 Vacant Land within Premises & Rooftop 856 Vacant Land within Premises & Rooftop 3,238 Vacant Land within Premises & Rooftop 15,028 Vacant Land within Premises & Rooftop 3,760 Vacant Land within Premises & Rooftop 4,640 Solar Loading Percentage Total 49,370 1,477, ,218 Analysis Analysis carried out from the data collected from site for individual pumping stations as well as system data collected from K- Electric reveals the following: KWSB is one of the biggest consumer Cumulative load of all installation of KWSB that includes all pumping stations and filtration plants for which data was collected is MW. There are other pumping stations and sewage treatment plants. It is estimated that overall demand of KWSB is approximately MW Maximum demand for some of bigger installations that were visited and for which data is available is as under: o Dhabeji Pumping station MW o Pipri Pumping station 3.2 MW o North East Karachi (NEK) 5.34 MW o Hub Pumping station 8.44 MW o Gharo Pumping station 1.65 MW o Sewage Plant I 0.27 MW o Sewage Plant II 1.02 MW 4-33 June 2016

67 Demand For Distributed Renewable Generation o Sewage Plant III 0.88 MW Load profiles for all pumping stations are almost flat. This is due to the reason that all pumping stations work round the clock. Same is the case with sewage plants. The energy bills analysis of selected pumping stations and treatment plants show that a heavy amount of receivables accumulated against their energy bills i.e. about PKR billion till June only against the selected installations whereas total cumulative accounts receivable stands to about PKR 42 billion up to February Another point to be noted here is that the residents of officers and staff colonies attached with each site of KWSB installations are enjoying electricity supply without energy meters installed in their residences. Major Hospitals Introduction Karachi is a center of research in biomedicine with at least 30 public hospitals and more than 80 private hospitals. As required under the Terms of Reference (ToR), five (5) major hospitals in Karachi were chosen to be studied and analyzing their suitability for producing their own energy through distributed renewable energy. With healthcare being one of the most important basic responsibilities that a government is supposed to provide to its citizens, it is important to remove any hindrance that stands in the way of improving these healthcare facilities. Public hospitals were chosen instead of private hospitals because they are provincially operated entities which are entitled to provide healthcare services to most of the large population, common citizens, free of charge or at a nominal fee. Since public hospitals are not businesses that can run on revenue basis, the burden of payment of energy bills falls on the provincial government which in turn affects the economy of the region. To make that worse, recently, the public hospitals have been shifted from bulk user (two part tariff) to residential user system by KE in which cost per unit of energy increases. Methodology Part of the general data was collected from K-Electric. In order to collect the remaining general and specific data required, our team accompanied by a representative from K-Electric, visited the selected hospitals. Data had to be retrieved locally through meetings with the concerned persons. But gathering the data was still not an easy task as we could not get hold of persons responsible, for meetings most of the times, due to their unavailability. However most of the data was extracted during discussion with some low level staff that was actually looking after the power supply system. In addition wherever it was not possible to get some data 4-34 June 2016

68 Demand For Distributed Renewable Generation even from lower level staff, we developed some data based on our best technical judgment and little discussion with them. Five (5) major hospitals selected for detailed study is in the Table 4-31 below: Table 4-31: List of Selected Hospitals S.No Name of Hospitals Coordinates Area(sq. m) 1 Abbasi Shaheed Hospital N E 25,076 2 Civil Hospital N E 37,392 3 Jinnah Postgraduate medical center N E 51,211 4 Sindh Service Hospital N E 37,743 5 Lyari General Hospital N E 32,234 Data Collection and Analysis The Data obtained directly from K-Electric for the selected Hospitals are as follow: Complete Billing data of Hospitals for the fiscal years i.e., and is taken from K-Electric. Load of each Hospital sites is taken from the site visit. 2 From the above information, following tabulation work was made; Aggregated Capacity and Demand of each site Monthly Peak Load of each site Current Tariff applied to each Consumer during three years Monthly Billing and account Receivable of each site All selected hospitals are separately discussed in following sections. Abbasi Shaheed Hospital Karachi Abbasi Shaheed Hospital is a 850 beds teaching hospital, located in Paposh Nagar neighborhood of Nazimabad, Karachi, Sindh, Pakistan. This hospital was constructed by the city government. The hospital caters a large number of patients arriving from other cities majorly from interior Sindh. It has witnessed rapid and immense growth throughout the years. A photograph of Abbasi Shaheed Hospital is shown in Figure Power supply to most of hospitals is being made through multiple feeders and multiple energy meters. Accordingly hourly load data is neither being maintained by K-Electric nor by KWSB. Therefore this data is not available. However, load profile of hospitals mostly coincides with over all load profile of K-Electric June 2016

69 Demand For Distributed Renewable Generation Figure 4-19: Abbasi Shaheed Hospital Aggregated Capacity The Aggregated Capacity and Demand for the fiscal years, and are given in the Table Table 4-32: Aggregated Capacity and Demand of Abbasi Shaheed Hospital Name of Hospital Abbasi Shaheed Hospital Capacity Capacity Capacity Monthly Peak Load The total Monthly Peak load at the hospital as recorded for, and extrapolate and for the year on the basis of previous two years are given in the Table 4-33 and Figure June 2016

70 MW Demand For Distributed Renewable Generation Months Table 4-33: Monthly Peak Load of Abbasi Shaheed Hospital July August September October November December January February March April May June Figure 4-20: Monthly Peak Load of Abbasi Shaheed Hospital Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Months 2011~12 ~13 ~14 Current Tariff Applied Single energy meter is installed at Abbasi Shaheed Hospital with consumer No.BH It has connected load of 500kW and charged under industrial tariff category C2-HT., and recorded maximum demand of the consumer, thereafter K- Electric changed the tariff category of the consumer from Industrial tariff to Domestic tariff category A1-R, during the fiscal year June 2016

71 Demand For Distributed Renewable Generation Monthly Billing & Account Receivables The monthly billing of Abbasi Shaheed Hospital is given in the Table 4-34, while table of account receivables is provided in Annexure X; VOL 3 of 3 Months Table 4-34: Monthly Billing of Abbasi Shaheed Hospital PKR in Million Amount Amount Amount July August September October November December January February March April May June Civil Hospital Karachi The Civil Hospital Karachi is a 1,900-bed tertiary care public hospital that imparts both undergraduate and postgraduate teaching and training. It is one of the teaching hospitals affiliated with the Dow Medical College now the Dow University of Health Sciences. The clinical departments of the hospital include Internal Medicine, Gynecology and Obstetrics, Anesthesiology, Pediatrics, Cardiac, Surgery, Oncology, Radiology, General Surgery, Neuro Surgery and Laboratory Civil Hospital is proving all the services and facilities in one premise. Aggregated Capacity The Aggregated Capacity and is given in the Table 4-35 Table 4-35: Aggregated Capacity and Demand of Civil Hospital Karachi Name of Hospital Civil Hospital Karachi Capacity Capacity Capacity Monthly Peak Load The total Monthly Peak load at Civil Hospital Karachi is given in the Table 4-36 and Figure June 2016

72 MW Demand For Distributed Renewable Generation 2.50 Months Table 4-36: Monthly Peak Load of Civil Hospital Karachi July August September October November December January February March April May June Figure 4-21: Monthly Peak of Civil Hospital Karachi Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Months 2011~12 ~13 ~ June 2016

73 Demand For Distributed Renewable Generation Current Tariff Applied According to K-Electric data; two energy meters are installed with consumer No.BH and No.BH having connected/ sanctioned load of 2141kW/2141kW and 1185kW/1185kW respectively. The energy meter were charged under industrial tariff category C2-HT during fiscal year and,and recorded maximum demand of the consumer, thereafter K-Electric changed and charged the tariff category of the consumer from Industrial tariff category C2-HT to Domestic tariff category A1-R, during the fiscal year. Monthly Billing & Account Receivables The monthly billing of Civil Hospital Karachi is given in the Table 4-37, while table of account receivables is provided in Annexure XI; VOL 3 of 3 Months Table 4-37: Monthly Billing of Civil Hospital Karachi PKR in Million Amount Amount Amount July August September October November December January February March April May June Jinnah Post Graduate Medical Center The Jinnah Postgraduate Medical Centre (JPMC) is located at Rafique Shaheed Road in Karachi Cantonment area. It consists of many departments and laboratories, including Anatomy, Biochemistry, Microbiology, Pathology, Pharmacology and Physiology. The prime purpose of this institution, in addition to treating patients, became higher medical education, training and research. Thereafter, with the passage of time, more buildings were constructed to cater to the growing needs of various evolving specialties. A photograph of Jinnah Postgraduate Medical Centre is shown in Figure June 2016

74 Demand For Distributed Renewable Generation Figure 4-22: Jinnah Postgraduate Medical Centre Aggregated Capacity The Aggregated Capacity and Demand of Jinnah Post Graduate Medical Center is given in the Table 4-38 Table 4-38: Aggregated Capacity and Demand of JPMC Name of Hospital Capacity Capacity Capacity JPMC Monthly Peak Load The total Monthly Peak load during the fiscal year, (actual) and calculated on the basis of previous two years for the year is given in the Table 4-39 and Figure Months Table 4-39: Monthly Peak Load of JPMC July August September October November December January February March April May June June 2016

75 MW Demand For Distributed Renewable Generation Figure 4-23: Monthly Peak of JPMC Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Current Tariff Applied Months 2011~12 ~13 ~14 Only one energy meter is installed at JPMC against consumer No.BH with connected load of 3340kW. This energy meter was charged under industrial tariff category C2-HT during fiscal year and,and recorded maximum demand of the consumer, thereafter K-Electric changed the tariff category of the consumer to Domestic A1-R, during the fiscal year. Monthly Billing & Account Receivables The monthly billing from the billing statements provided by K-Electric given in the Table 4-40, while table of account receivables is provided in Annexure XII; VOL 3 of June 2016

76 Demand For Distributed Renewable Generation Months Table 4-40: Monthly Billing of JPMC PKR in Million Amount Amount Amount July August September October November December January February March April May June Sindh Services Hospital Sindh Services Hospital (SSH) is located at Aram Bagh, M.A Jinnah Road in the neighborhood of Civil Hospital Karachi. This public hospital serves the persons working under Sindh government as well as public. Sindh Services Hospital covers all the specialties and has got doctors related to all the specialties like Medicine, Surgery, Eye, ENT (Ear, Nose & Throat) Skin, Gynecology and ultrasound, X-ray, Dentistry, Physiotherapy and many more. Aggregated Capacity The Aggregated Capacity and are given in the Table 4-41 Table 4-41: Aggregated Capacity and Demand of SSH, Karachi Name of Hospital Sindh Services Hospital Karachi Capacity Capacity Capacity Monthly Peak Load The total Monthly Peak load this Hospital during the fiscal year, (actual) and calculated for the year on the basis of previous two years are given in the Table 4-42 and Figure June 2016

77 MW Demand For Distributed Renewable Generation Months Table 4-42: Monthly Peak Load of SSH Karachi July August September October November December January February March April May June Figure 4-24: Monthly Peak of SSH Karachi Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Months 2011~12 ~13 ~14 Current Tariff Applied Two energy meters are installed at Sindh Services Hospital against consumer No.BL and BL having sanctioned load of 375kW and 35kW respectively. These energy meters were charged under industrial tariff category C2- HT during fiscal year and, and recorded maximum demand of the consumer, thereafter K-Electric changed tariff category of the consumer T to Domestic tariff category A1-R, during the fiscal year June 2016

78 Demand For Distributed Renewable Generation Monthly Billing & Account Receivables The monthly billing of Sindh Services Hospital Karachi is given in the Table 4-43, while table of account receivables is provided in Annexure XIII; VOL 3 of 3 Months Table 4-43: Monthly Billing of SSH Karachi PKR in Million Amount Amount Amount July August September October November December January February March April May June Lyari General Hospital The Lyari General Hospital (LGH) is located at Lyari General Hospital, Rangiwara, Karachi, Pakistan. Sources said 500-bed Sindh Government Lyari General Hospital Karachi is considered as one of the major teaching healthcare centers of the city where around 2500 to 3000 people visit its various OPDs for consultation and treatment purpose daily. There are 14 departments in hospital where about 120 doctor, general & specialists cadre are performing their duties in three shifts. Aggregated Capacity The Aggregated Capacity and of Lyari General Hospital are given in the Table 4-44 Table 4-44: Aggregated Capacity and Demand of LGH Name of Hospital Lyari General Hospital Capacity Capacity Capacity June 2016

79 MW Demand For Distributed Renewable Generation Monthly Peak Load The total Monthly Peak load at Lyari General Hospital Karachi for the fiscal year, (actual) and calculated for the year on the basis of previous two years are given in the Table 4-45 and Figure Months Table 4-45: Monthly Peak Load of LGH Karachi July August September October November December January February March April May June Figure 4-25: Monthly Peak of LGH Karachi Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Months 2011~12 ~13 ~14 Current Tariff Applied One energy meter is installed at Lyari General Hospital with consumer No.BH00039 and connected/ sanctioned load of 978kW/ 381kW each. The energy meter was charged under industrial tariff category C2-HT during fiscal year and,and recorded maximum demand of the consumer, thereafter K-Electric 4-46 June 2016

80 Demand For Distributed Renewable Generation changed the tariff category to Domestic tariff category A1-R, during the fiscal year. Monthly Billing & Account Receivables The monthly billing of Lyari General Hospital Karachi is given in the Table 4-46, while table of account receivables is provided in Annexure XIV; VOL 3 of 3. Months Table 4-46: Monthly Billing of LGH Karachi PKR in Million Amount Amount Amount July August September October November December January February March April May June Specifics of Five Major Hospitals The specific data regarding electrical load i.e pumps, air condition units and other major electrical devices related to five major hospitals are given in Annexure-II ; VOL 2 of 3 Preliminary Siting & Analysis The Preliminary Siting of Hospitals is given in the Table 4-47 below: 4-47 June 2016

81 Demand For Distributed Renewable Generation Name of Hospitals Load (KW) Table 4-47: Preliminary Siting of Hospitals Available Space (sq m) Possible Sites Estimated Solar Capacity (KW) Solar Loading Percentage Abbasi Shaheed Car Parking & 1,110 7, Hospital Rooftop Civil Hospital 2,350 16,400 Rooftop 1, Vacant Land Jinnah Post within Graduate 3,190 80,000 6, premises & Medical Center Rooftop Sindh Services Hospital Lyari General Hospital ,000 Vacant Land within Premises & Rooftop Vacant Land within Premises & Rooftop Total 7, ,500 8,828 Analysis Analysis of the above data reveals following: Peak load of Abbasi Shaheed Hospital is low (about 1 MW). Maximum demand at Civil Hospital is comparatively more (about 3.3 MW). Overall demand of hospital that were surveyed is about 6.6 MW. Jan and Feb are the months of low load. Abbasi Shaheed Hospital did not pay bills in and thereafter most of the bills are clear. Monthly load is variable which is due to weather conditions at Karachi. In some months negative dues are noted. This is due to the reason that in case of multiple meters separate bills are issued but the consumer pay through one cheque for all bills. Accounting system take it against one bill thereafter they adjust it with the other meters. JPMC demand pattern is almost same as of Civil Hospital. JPMC is good paymaster as their receivables are almost nil. Demand of Sindh Services Hospital and Lyari General Hospital is almost same and there are not much outstanding bills. Twenty Large Public Buildings Introduction Based on the requirement of the ToR twenty public sector buildings were selected with the help of K-Electric for detailed study. Selection was based on the ease of accessibility and security issue. One of the determining factors was also that these building are known to public and famous June 2016

82 Demand For Distributed Renewable Generation Methodology Part of the general data was collected from K-Electric. In order to collect the remaining general and specific data our team, accompanied by a representative from K-Electric, visited these buildings. Data had to be retrieved locally through meetings with the concerned person s observation during site visit, as they were hesitant to share the officially documented data In this whole assignment, data collection from these buildings was a difficult exercise primarily due to following reasons: In most of the buildings there are no single person responsible to look after the electricity system The concerned administration person was not willing to share data, perhaps they don t keep record In some buildings they even not allowed us to enter in to their premises meters installed in their premises are in precarious conditions There could also be possible that their energy meters are not working properly and they don t want to expose their energy meters with K-Electric officials. However, consultant managed to collect some data directly from selected buildings and billing from K-Electric and missing data was developed by taking in to account our best technical judgment. The list of the twenty (20) large public buildings which are selected for this report is given in the Table 4-48 below: 4-49 June 2016

83 Demand For Distributed Renewable Generation Table 4-48: List of Twenty (20) Large Public Buildings Sr # Name of Public Buildings Coordinates Area(sq. m) 1 Mazar e Quaid, Karachi N E 530,000 2 Radio Pakistan Karachi N E 5,709 3 KDA Head Qtr, Civic Center, Gulshan e Iqbal, Karachi N E 21,835 4 Hockey Stadium Karachi N E 15,881 5 SSP South Police Head Quarter, Garden Karachi N E 24,207 6 National Stadium, Karachi N E 96,019 7 Pakistan Railway Station Karachi Cantt, Karachi N E 296,058 8 Karachi Port trust Building, Karachi N E 56,980 9 Pakistan Television, Karachi Center N E 34, Sindh Madarsatul Islam Building, Awan-e-Tijarat Karachi N E 25, Karachi Municipal Corporation Building, Karachi N E 49, State Bank Building, Karachi N E 36, Frere Hall, Karachi N E 52, Liaquat Memorial Library N E 14, Quaid E Azam House Museum, Karachi N E 8, Zoological Garden, Karachi N E 144, National Museum Karachi N E 54, Khaliq Dina Hall Library N E 4, Superme Court Registry, Karachi N E 62, Mohatta Palace, Karachi N E 6,233 Data Collection and Analysis The Data attained directly from K-Electric and primary data collected from site visit are as follows: Complete Billing data for the fiscal years i.e., and was taken from K-Electric. Specifics data of each building was taken from the site visit. From the above information, following tabulation work was made; Aggregated Capacity of each site Monthly Peak Load of each site where the Data was available in their billing data 3. Current Tariff applied to each Consumer Monthly Billing and account Receivable Detailed analyses of selected buildings are separately discussed in the following sections. 3 Being a commercial/domestic consumers power supply to these consumers are not made through dedicated feeder, rather multiple consumers of various category is connected on one feeder. Therefore it is almost impossible to extract data for individual buildings June 2016

84 Demand For Distributed Renewable Generation Mazar-e-Quaid Mazar-e-Quaid is situated in Karachi, Sindh. This is the last resting spot of Quaid-e- Azam Muhammad Ali Jinnah, the founder of Pakistan. It stands out amongst the most famous vacationer destinations among remote guests to Karachi. The mausoleum is situated in a 53-hectare (530,000 m 2 ) park and the building has a foot shaped impression of 23 by 23m with a stature of 43 m based on a 4 m high stage. Around the mausoleum is a park fitted with solid shot spot-lights which during the evening venture light on the white mausoleum. Aggregated Capacity The Aggregated Capacity and Demand of Mazar-e-Quaid are given in the Table Table 4-49: Aggregated Capacity & Demand of Mazar-e-Quaid Karachi Name of Building Mazar-e- Quaid Karachi Capacity Capacity Capacity Monthly Peak Load The particular data required for calculating Monthly Peak of the site could not be retrieved from the data provided by K- Electric due to the fact that Mazar-e-Quaid is charged under domestic tariff and as per policy of K-Electric the Maximum Demand (MD) is not recorded. However, the proxy feeder data was requested from K-Electric in order to calculate monthly peak but it was also not available. Current Tariff Applied Two energy meters are installed at Mazar-e-Quaid, one against consumer No.BL and the other against BL They have connected / sanctioned load of 152kW/152kW and 55kW/55kW respectively. Both the energy meters are charged under domestic Tariff A1-R. Monthly Billing & Account Receivables The monthly billing is given in the Table 4-50, while table of account receivables is provided in Annexure XV; VOL 3 of June 2016

85 Demand For Distributed Renewable Generation Months Table 4-50: Monthly Billing of Mazar-e-Quaid Karachi PKR in Million Amount Amount Amount July August September October November December January February March April May June Radio Pakistan Karachi Pakistan's first radio station was set up at Karachi. The building of Radio Pakistan's Broadcasting Corporation on M.A. Jinnah Road was introduced in Presently this building is under renovation process and all instruments have been shifted to new building after fire incident occurred. Aggregated Capacity The Aggregated Capacity and Demand of Radio Pakistan Karachi are given in the Table 4-51 Table 4-51: Aggregated Capacity & Demand of Radio Pakistan Name of Building Radio Pakistan Karachi Capacity Capacity Capacity Monthly Peak Load The particular data required for calculating Monthly Peak could not be retrieved from the data provided by K- Electric due to the fact that Radio Pakistan (old building) is charged under domestic tariff and as per policy of K-Electric the Maximum Demand (MD) is not recorded. However, the proxy feeder data was requested from K-Electric to calculate monthly peak but it was also not available June 2016

86 Demand For Distributed Renewable Generation Current Tariff Applied Two energy meters are installed at Radio Pakistan (old building), against consumer Nos.BL and.bl at the address of Pakistan Broadcasting Corporation, Karachi. They have connected/ sanctioned load of 41kW/ 41kW and 66kW/ 66kW respectively and are charged under domestic Tariff A1-R. Monthly Billing & Account Receivables The monthly billing is given in the Table 4-52, while table of account receivables is provided in Annexure XVI; VOL 3 of 3. Months Table 4-52: Monthly Billing of Radio Pakistan PKR in Million Amount Amount Amount July August September October November December January February March April May June KDA Headquarters, Civic Center Karachi Development Authority (KDA) headquarters is located at Civic Center Karachi on University Road, Gulshan-e-Iqbal, Karachi. Aggregated Capacity The Aggregated Capacity and Demand of KDA Headquarters are given in the Table 4-53 Table 4-53: Aggregated Capacity & Demand of KDA Headquarters Name of Building KDA Headquarters Karachi Capacity Capacity Capacity June 2016

87 MW Demand For Distributed Renewable Generation Monthly Peak Load The total Monthly Peak load at KDA Headquarters during the fiscal year, (actual) and for the year calculated on the basis of previous two years data are given in the Table 4-54 and Figure Table 4-54: Monthly Peak Load of KDA Headquarters Months July August September October November December January February March April May June Figure 4-26: Monthly Peak of KDA Headquarters Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Months 2011~12 ~13 ~14 Current Tariff Applied One energy meter is installed at KDA HQ against consumer No.BH at the address of KDA Head Office Building Civic Center, Gulshan-e-Iqbal, Karachi. It has connected/ sanctioned load of 1,300kW/ 1300kW each. The energy meter was charged under industrial tariff category C2-HT during fiscal year and,and recorded maximum demand, thereafter it was changed to Domestic tariff category A1-R, during the fiscal year June 2016

88 Demand For Distributed Renewable Generation Monthly Billing & Account Receivables The monthly billing is given in the Table 4-55, while table of account receivables is provided in Annexure XVII; VOL 3 of 3. Months Table 4-55: Monthly Billing of KDA Headquarters PKR in Million Amount Amount Amount July August September October November December January February March April May June Hockey Stadium Karachi Hockey Club of Pakistan is a national hockey stadium for the national sport conducted in Karachi, Sindh, Pakistan. Hockey Club of Pakistan hosted matches for the 1980, 1981, 1983, 1984, 1986 & 1992 Champions Trophy. The stadium can hold 30,000 people. Aggregated Capacity The Aggregated Capacity and Demand of Hockey Stadium Karachi during are given in the Table 4-56 Table 4-56: Aggregated Capacity & Demand of Hockey Stadium Name of Building Hockey Stadium Karachi Capacity Capacity Capacity Monthly Peak Load This particular data could not be retrieved due to the fact that Hockey Stadium, Karachi is charged under domestic tariff and as per policy of K-Electric the Maximum Demand (MD) is not recorded. However, the proxy feeder data was requested from K-Electric in order to calculate monthly peak but it was also not available June 2016

89 Demand For Distributed Renewable Generation Current Tariff Applied One energy meter is installed at Hockey Stadium against consumer No.AL with connected/ sanctioned load of 5kW/5kW each. The energy meter is charged under domestic Tariff A1-R. Monthly Billing & Account Receivables The monthly billing is in the Table 4-57, while table of account receivables is provided in Annexure XVIII; VOL 3 of 3. Months Table 4-57: Monthly Billing of Hockey Stadium PKR in Million SSP South Police Headquarters SSP South Police Headquarters (SP-HQ) is located at Gazdarabad, Karachi. It includes Garden Police Station, police staff quarters, and other facilities. Aggregated Capacity Amount Amount The Aggregated Capacity and Demand of SSP. South Police Headquarters, Garden Karachi are given in the Table 4-58 Table 4-58: Aggregated Capacity & Demand of SSP SP-HQ Amount July August September October November December January February March April May June Name of Building SSP South Police HQ Garden Karachi Capacity Capacity Capacity June 2016

90 Demand For Distributed Renewable Generation Monthly Peak Load This particular data could not be retrieved due to the fact SSP South Police Head Quarter, Garden Karachi is charged under domestic tariff and as per policy of K- Electric the Maximum Demand (MD) is not recorded. However, the proxy feeder data was also not available. Current Tariff Applied One energy meter is installed at SSP South Police Headquarters against consumer No.BL with connected/ sanctioned load of 300kW/300kW and is charged under domestic Tariff A1-R. Monthly Billing & Account Receivables The monthly billing is in the Table 4-59, while table of account receivables is provided in Annexure XIX; VOL 3 of 3. Months Table 4-59: Monthly Billing of SSP SP-HQ PKR in Million Amount Amount Amount July August September October November December January February March April May June National Stadium Karachi The National Stadium is a cricket stadium in Karachi. It was established on 21st April, The capacity of the stadium is 34,228 spectators. The National Stadium became Karachi's fifth and Pakistan's 11th first-class ground. It has floodlights installed to host matches at night. Aggregated Capacity The Aggregated Capacity and Demand of National Stadium Karachi are given in the Table June 2016

91 Demand For Distributed Renewable Generation Table 4-60: Aggregated Capacity & Demand of National Stadium Name of Building National Stadium Karachi Capacity Capacity Capacity Monthly Peak Load This particular data could not be retrieved due to the fact National Stadium Karachi is charged under domestic tariff and as per policy of K-Electric the Maximum Demand (MD) is not recorded. Proxy feeder data was also not available. Current Tariff Applied One energy meter is installed against consumer No.BL with connected/ sanctioned load of 215 kw/215 kw and is charged under domestic Tariff A1-R. Monthly Billing & Account Receivables The monthly billing is given in the Table 4-61, while table of account receivables is provided in Annexure XX; VOL 3 of 3. Months Table 4-61: Monthly Billing of National Stadium PKR in Million Amount Amount Amount July August September October November December January February March April May June Pakistan Railway Station: Karachi Cantt. Karachi Cantonment Railroad Station is one of the vital rail road stations in Karachi. It is situated close to Dr. Daudpota Street, Saddar. It has 8 platforms, locomotive shed, washing line and workshop. A photogaraph of Karachi Cantonment Railroad Station is shown in Figure June 2016

92 Demand For Distributed Renewable Generation Figure 4-27: Karachi Cantonment Railroad Station Aggregated Capacity The Aggregated Capacity and of Pakistan Railway (PR) Station Karachi Cantt., are given in the Table 4-62 Table 4-62: Aggregated Capacity & Demand of PR Cantt. Station Name of Building Pakistan Railway Cantt Station Karachi Capacity Capacity Capacity Monthly Peak Load The total Monthly Peak load at Pakistan Railway Station Karachi Cantt., are given in the Table 4-63 and Figure June 2016

93 MW Demand For Distributed Renewable Generation Table 4-63: Monthly Peak Load of PR Cantt. Station Months July August September October November December January February March April May June Figure 4-28: Monthly Peak of PR Cantt. Station Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Months 2011~12 ~13 ~14 Current Tariff Applied One energy meter is installed at Pakistan Railway station, Karachi Cantt., against consumer No.BH It has connected/ sanctioned load of 505kW/505kW and is charged under Industrial tariff category C2-HT. Monthly Billing & Account Receivables The monthly billing of PR station Cantt Station Karachi as provided by K-Electric is given in the Table 4-64, while table of account receivables is provided in Annexure XXI; VOL 3 of June 2016

94 Demand For Distributed Renewable Generation Months Table 4-64: Monthly Billing of PR Cantt. Station PKR in Million Amount Amount Amount July August September October November December January February March April May June Karachi Port Trust (KPT) Building, Karachi This stupendous building is situated on the Eduljee Dinshaw Street, Karachi. KPT Head Office Building has a historical background as in the First World War the building was converted into 500 beds hospital, aimed to serve people. Aggregated Capacity The Aggregated Capacity and Demand of KPT Building, Karachi are given in the Table 4-65 Table 4-65: Aggregated Capacity & Demand of KPT Building Name of Building Karachi Port Trust Building, Karachi Capacity Capacity Capacity Monthly Peak Load The total Monthly Peak load at KPT Building, Karachi during the fiscal year , -13 (actual) and for the year -14 calculated on the basis of previous two years are given in the Table 4-66 and Figure June 2016

95 MW Demand For Distributed Renewable Generation Table 4-66: Monthly Peak Load of KPT Building Months July August September October November December January February March April May June Figure 4-29: Monthly Peak of KPT Building Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Months 2011~12 ~13 ~14 Current Tariff Applied One energy meter is installed at KPT Building against consumer No.BH and connected/ sanctioned load of 500kW/500kW which was charged under industrial tariff category C2-HT during and, and recorded maximum demand, thereafter K-Electric changed it to Domestic tariff category. Monthly Billing & Account Receivables The monthly billing of KPT Building, Karachi is given in the Table 4-67, while table of account receivables is provided in Annexure XXII; VOL 3 of June 2016

96 Demand For Distributed Renewable Generation Months Table 4-67: Monthly Billing of KPT Building PKR in Million Amount Amount Amount July August September October November December January February March April May June Pakistan Television, Karachi Center Pakistan Television Corporation Limited (PTV) is a public limited company. It is properly equipped with technical equipment and has four main color studios, including one designed and equipped for News. The PTV-Karachi Center along with four Re-Broadcast Stations (RBSs) is connected to other RBSs in the country through Microwave link and covers about 90% of the population. With the opening of PTV News, Pakistani programs are now being viewed in other parts of the world via satellite. Aggregated Capacity The Aggregated Capacity and Demand are given in the Table 4-68 Table 4-68: Aggregated Capacity & Demand of PTV Center Name of Building Pakistan Television, Karachi Center Capacity Capacity Capacity Monthly Peak Load The total Monthly Peak load at Pakistan Television, Karachi Center during the fiscal year , -13 (actual) and for the year calculated on the basis of previous two years are given in the Table 4-69 and Figure June 2016

97 MW Demand For Distributed Renewable Generation Table 4-69: Monthly Peak Load of PTV Center Months July August September October November December January February March April May June Figure 4-30: Monthly Peak of PTV Center Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Months 2011~12 ~13 ~14 Current Tariff Applied One energy meter is installed at Pakistan Television Center against consumer No.BH with connected/ sanctioned load of 600kW/ 288kW was charged under industrial tariff category C2-HT during year and, and recorded maximum demand of the consumer, thereafter it was Domestic tariff category A1-R June 2016

98 Demand For Distributed Renewable Generation Monthly Billing & Account Receivables The monthly billing is given in the Table 4-70, while table of account receivables is provided in Annexure XXIII; VOL 3 of 3. Months Table 4-70: Monthly Billing of PTV Center PKR in Million Amount Amount Amount July August September October November December January February March April May June Sindh Madressatul Islam University Sindh Madressatul Islam University (SMIU) is a public university situated in the business center of Karachi. The founding father of Pakistan, Mohammad Ali Jinnah studied there. It has extensive classrooms furnished with ventilation systems, mixed media projectors, outlined furniture etc. SMIU has also the distinction of establishing state-of-the art television studio and FM Radio studio to serve as its broadcasting laboratories. Aggregated Capacity The Aggregated Capacity and Demand of Sindh Madressatul Islam University SMIU are given in the Table 4-71 Table 4-71: Aggregated Capacity & Demand of SMIU Name of Building Sindh Madressatul Islam University Capacity Capacity Capacity June 2016

99 Demand For Distributed Renewable Generation Monthly Peak Load This particular data could not be retrieved due to the fact that SMIU, Karachi is charged under domestic tariff and as per policy of K-Electric the Maximum Demand (MD) is not recorded. Proxy feeder data was also not available. Current Tariff Applied One energy meter is installed at SMIU, against consumer No.BL and has connected/ sanctioned load of 345kW/ 345kW and is charged under Domestic Tariff A1-R. Monthly Billing & Account Receivables The monthly billing of SMIU Karachi is provided at Table 4-72, while table of account receivables is provided in Annexure XXIV; VOL 3 of 3. Months Table 4-72: Monthly Billing of SMIU PKR in Million Amount Amount Amount July August September October November December January February March April May June Karachi Municipal Corporation Building The Karachi Municipal Corporation (KMC) Building is an historic building located at M. A. Jinnah Road, Karachi. The building went through a major renovation which included repairing of the clock tower. Aggregated Capacity The Aggregated Capacity and Demand of KMC Building, Karachi are given in the Table June 2016

100 Demand For Distributed Renewable Generation Table 4-73: Aggregated Capacity & Demand of KMC Building Name of Building Karachi Municipal Corporation Building Karachi Capacity Capacity Capacity Monthly Peak Load The particular data required calculating Monthly Peak of the site could not be retrieved from the data provided by K- Electric due to the fact that KMC Building is charged under domestic tariff and as per policy of K-Electric the Maximum Demand (MD) is not recorded. Current Tariff Applied Two energy meters are installed at KMC, CDGK Head Office, one is against consumer No.BL and other against consumer No.BL Both have connected/ sanctioned load of 200kW/200kW and 200kW/200kW respectively and are charged under domestic Tariff A1-R. Monthly Billing & Account Receivables The monthly billing of KMC Building, Karachi is given in the Table 4-74, while table of account receivables is provided in Annexure XXV of VOL 3 of 3. Months Table 4-74: Monthly Billing of KMC Building PKR in Million Amount Amount Amount July August September October November December January February March April May June June 2016

101 Demand For Distributed Renewable Generation State Bank Building The State Bank Building (SBB) of Pakistan is located in the financial capital of Pakistan, Karachi with its second headquarters in the capital, Islamabad. The Bank was inaugurated by Quaid-e-Azam Muhammad Ali Jinnah. Aggregated Capacity The Aggregated Capacity and Demand of State Bank building, Karachi are given in the Table 4-75 Table 4-75: Aggregated Capacity & Demand of SBB Name of Building State Bank Building Karachi Capacity Capacity Capacity Monthly Peak Load The total Monthly Peak load at SBB, Karachi for the fiscal year, actual and calculated for the year -14 on the basis of previous two years are given in the Table 4-76 and Figure 4-31 Table 4-76: Monthly Peak Load of SBB Months July August September October November December January February March April May June June 2016

102 MW Demand For Distributed Renewable Generation Figure 4-31: Monthly Peak of SBB Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Months 2011~12 ~13 ~14 Current Tariff Applied The energy meter installed at SBB Karachi against consumer No.BH carry connected/ sanctioned load of 2156kW/ 2156kW charged under industrial tariff category C2-HT thereafter it was changed to Domestic tariff category A1-R. Monthly Billing & Account Receivables The monthly billing of SBB, Karachi is given in the Table 4-77, while table of account receivables is provided in Annexure XXVI of VOL 3 of 3. Months Table 4-77: Monthly Billing of SBB PKR in Million Amount Amount Amount July August September October November December January February March April May June June 2016

103 Demand For Distributed Renewable Generation Frere Hall Frere Hall (FH) is one of the numerous remainder structures of the English period that still exists in Karachi, Sindh, Pakistan. Frere Hall is open to the public. On Sundays there is a book bazaar in the patios where it is conceivable to buy some old no longer available books amongst others. The ground floor houses a fine open library named Liaquat National Library which is one of the biggest libraries in Karachi and contains more than seventy thousand books. A photograph of Frere Hall is shown in Figures 4-32 Figure 4-32: A Photograph of Frere Hall Aggregated Capacity The Aggregated Capacity and Demand of Frere Hall, Karachi are given in the Table 4-78 Table 4-78: Aggregated Capacity & Demand of FH Name of Building Frere Hall Karachi Capacity Capacity Capacity Monthly Peak Load The particular data required calculating Monthly Peak of the site could not be retrieved from the data provided by K- Electric due to the fact that Frere Hall, Karachi Building is charged under domestic tariff and as per policy of K-Electric the Maximum Demand (MD) is not recorded. Current Tariff Applied Three energy meters are against consumer No.AL107622, with connected/ sanctioned load of 5kW/ 5kW, No.AL019664, with connected/ sanctioned load of 4-70 June 2016

104 Demand For Distributed Renewable Generation 1kW/ 1kW, No.AP009748, with connected/ sanctioned load of 28kW/ 28kW. These energy meters are charged under domestic Tariff A1-R. Monthly Billing & Account Receivables The monthly billing of Frere Hall, Karachi is given in the Table 4-79, while table of account receivables is provided in Annexure XXVII; VOL 3 of 3. Months Table 4-79: Monthly Billing of FH PKR in Million Amount Amount Amount July August September October November December January February March April May June Liaquat Memorial Library Liaquat Memorial Library (LML), earlier called, National Library of Pakistan, is situated at Stadium Road, Karachi. The library has total holdings of 144,000 volumes. The building comprises of four stories with centrally air-conditioning and heating facility. It provides for On-line Public Access Catalogue, 04 Reading Halls, Manuscript & Rare Books section, Establishment, Seminar Room, Class Room, Meeting Room offices, and14 research rooms. Auditorium has a seating capacity of 400 persons. Aggregated Capacity The Aggregated Capacity and Demand of Liaquat Memorial Library are given in the Table June 2016

105 Demand For Distributed Renewable Generation Table 4-80: Aggregated Capacity & Demand of LML Name of Building Liaquat Memorial Library Karachi Capacity Capacity Capacity Monthly Peak Load The particular data required calculating Monthly Peak of the site could not be retrieved from the data provided by K- Electric due to the fact that the building is charged under domestic tariff and accordingly Maximum Demand (MD) is not recorded. Proxy feeder was not available. Current Tariff Applied The energy meter installed at Liaquat Memorial Library, has consumer No.BL with connected/ sanctioned load of 53kW/ 53kW.. The energy meter is charged under domestic Tariff A1-R. Monthly Billing & Account Receivables The monthly billing of Liaquat Memorial Library is given in the Table 4-81, while table of account receivables is provided in Annexure XXVIII; VOL 3 of 3. Months Table 4-81: Monthly Billing of LML PKR in Million Amount Amount Amount July August September October November December January February March April May June June 2016

106 Demand For Distributed Renewable Generation Quaid-e-Azam House Museum The Quaid-e-Azam House Museum (QAHM), also called as "Flag Staff House", is a museum dedicated to the personal life of Quaid-e-Azam Mohammad Ali Jinnah, the founder of Pakistan. The historic building comprises of angled openings, carved pillars, half circle galleries and six spacious rooms, which incorporate two bedrooms, two drawing rooms, one study, one dining room, little garden, and some trees. A photograph of Quaid-e-Azam House Museum is shown in Figure 4-33 Figure 4-33: Quaid-e-Azam House Museum Aggregated Capacity The Aggregated Capacity and Demand of Quaid-e-Azam House Museum, Karachi are given in the Table 4-82 Table 4-82: Aggregated Capacity & Demand of QAHM Name of Building Quaid-e- Azam House Museum Karachi Capacity Capacity Capacity Monthly Peak Load The particular data required calculating Monthly Peak of the site could not be retrieved from the data provided by K-Electric due to the fact that Quaid-e-Azam House Museum, Karachi is charged under domestic tariff and Maximum Demand (MD) is not recorded June2016

107 Demand For Distributed Renewable Generation Current Tariff Applied meter is installed at Quaid-e-Azam House Museum, Flag Staff House, has consumer No.BL with connected/ sanctioned load of 102kW/102 kw and charged under domestic Tariff A1-R. Monthly Billing & Account Receivables The monthly billing is given in the Table 4-83, while table of account receivables is provided in Annexure XXIX; VOL 3 of 3. Months Table 4-83: Monthly Billing of QAHM PKR in Million Amount Amount Amount July August September October November December January February March April May June Zoological Garden Karachi Zoo also known as Karachi Zoological Garden is situated on Nishter Road in Karachi. It is the most established zoo in the country after Lahore Zoo. It has a decent Natural Museum Indigenous and in addition exotic stuffed animals belonging to different regions of the world have been exhibited in adjacent way. Karachi Zoo has a small garden of Mughal style. Karachi Zoo has established a veterinary hospital with modern diagnostic facilities. Aggregated Capacity The Aggregated Capacity and Demand of Zoological Garden are given in the Table June2016

108 Demand For Distributed Renewable Generation Table 4-84: Aggregated Capacity & Demand of Zoological Garden Name of Building Zoological Garden Karachi Capacity Capacity Capacity Monthly Peak Load The particular data required calculating Monthly Peak of the site could not be retrieved from the data provided by K-Electric due to the fact it is charged under domestic tariff and Maximum Demand (MD) is not recorded. Proxy feeder data was also not available Current Tariff Applied Two energy meters are installed at Zoological Garden, against consumer Nos.AL and.al Both have connected/sanctioned load of 10kW/ 10kW and 20kW/20kW and are charged under domestic Tariff A1-R. Monthly Billing & Account Receivables The monthly billing of Zoological Garden Karachi is given in the Table 4-85, while table of account receivables is provided in Annexure XXX; VOL 3 of 3. Months Table 4-85: Monthly Billing of Zoological Garden PKR in Million Amount Amount Amount July August September October November December January February March April May June National Museum The National Museum of Pakistan is situated at Dr.Ziauddin Ahmed Road Karachi. Currently there are 11 galleries in National Museum of Pakistan. There is a rich accumulation of nearly 70,000 research books and publications that are related to 4-75 June2016

109 Demand For Distributed Renewable Generation archeology. Every year National Museum holds around a dozen exhibitions on National Days and other occasions. For the preservation of the collection, a conservation laboratory is also a part of the Museum. The Museum premise also has an auditorium with 250 seating capacity. Aggregated Capacity The Aggregated Capacity and Demand of National Museum Karachi are given in the Table 4-86 Table 4-86: Aggregated Capacity & Demand of National Museum Name of Building National Museum Karachi Capacity Capacity Capacity Monthly Peak Load The particular data required calculating Monthly Peak of the site could not be retrieved from the data provided by K-Electric due to the fact that National Museum Karachi is charged under domestic tariff A1-R and as per policy of K-Electric the Maximum Demand (MD) is not recorded. However, the proxy feeder data was also not available. Current Tariff Applied two energy meters are installed at this facility against consumer Nos.AL andbl Both have connected/sanctioned load of 68kW/68kW and 68kW/68kW and are charged under domestic Tariff A1-R. Monthly Billing & Account Receivables The monthly billing of National Museum Karachi is given in the Table 4-87, while table of account receivables is provided in Annexure XXXI; VOL 3 of June2016

110 Demand For Distributed Renewable Generation Months Table 4-87: Monthly Billing of National Museum PKR in Million Amount Amount Amount July August September October November December January February March April May June Khaliq Dina Hall Library The complete name of the hall is Ghulam Hussain Khaliq Dina Hall (KDHL). It has been used sporadically for hosting exhibitions, Moharram sermons and Ramadan taraweh. Aggregated Capacity The Aggregated Capacity and Demand of KDHL, Karachi are given in the Table 4-88 Table 4-88: Aggregated Capacity & Demand of KDHL Name of Building Khaliq Dina Hall Library Karachi Capacity Capacity Capacity Monthly Peak Load The particular data required calculating Monthly Peak of the site could not be retrieved from the data provided by K-Electric due to the fact that KDHL, Karachi is charged under domestic tariff A1-R and as per policy of K-Electric the Maximum Demand (MD) is not recorded. However, the proxy feeder data was also not available June2016

111 Demand For Distributed Renewable Generation Current Tariff Applied The energy meter installed at Khaliq Dina Hall has consumer No.AL with connected/ sanctioned load of 3kW/6kW and is charged under domestic Tariff A1-R. Monthly Billing & Account Receivables The monthly billing of KDHL Karachi is given in the Table 4-89, while table of account receivables is provided in Annexure XXXII; VOL 3 of 3. Months Table 4-89: Monthly Billing of KDHL PKR in Million Amount Amount Amount July August September October November December January February March April May June Supreme Court Karachi Registry The Supreme Court Karachi Registry is housed in the old State Bank building. It has three Courtrooms, Chief Justice Chamber, six Judges Chambers, Registrar Chamber, Conference room, Judges Lounge, Office block and a beautiful mosque. Additional rooms have been provided to Supreme Court Bar Association. Aggregated Capacity The Aggregated Capacity and Demand of Supreme Court Karachi are given in the Table 4-90 Table 4-90: Aggregated Capacity & Demand of Supreme Court Name of Building Supreme Court Registry Karachi Capacity Capacity Capacity June2016

112 MW Demand For Distributed Renewable Generation Monthly Peak Load The Monthly Peak load at Supreme Court Karachi Registry, Karachi for the year, actual as provided by K-Electric and calculated for the year on the basis of previous two years are given in the Table 4-91 and Figure Months Table 4-91: Monthly Peak Load of Supreme Court July August September October November December January February March April May June Figure 4-34: Monthly Peak of Supreme Court Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Months 2011~12 ~13 ~14 Current Tariff Applied One energy meter is installed at Supreme Court Registry building, against consumer No.BH000400, has connected/ sanctioned load of 163kW/163kW The energy meter was charged under Industrial tariff category C2-HT during fiscal year and 4-79 June2016

113 Demand For Distributed Renewable Generation,and recorded maximum demand, thereafter it was changed to Domestic tariff category A1-R, Monthly Billing & Account Receivables The monthly of Supreme Court Karachi is given in the Table 4-92, while table of account receivables is provided in Annexure XXXIII; VOL 3 of 3. Table 4-92: Monthly Billing of Supreme Court PKR in Million Months Amount Amount Amount July August September October November December January February March April May June Mohatta Palace The Mohatta Palace is situated in Karachi, Sindh, Pakistan. Its exterior is trimmed with windows, stone brackets, spandrels, domes, balustrades with floral motifs and exquisite railings. There are nine domes, with a center dome in the middle; while the windows in the front portion opening out into the garden are of blue color and those in the rear area are arched windows with stained glass. There are three levels, basement, ground floor, and first floor. Aggregated Capacity The Aggregated Capacity and Demand of Mohatta Palace, Karachi are given in the Table 4-93 Table 4-93: Aggregated Capacity & Demand of Mohatta Palace Name of Building Mohatta Palace Karachi Capacity Capacity Capacity June2016

114 Demand For Distributed Renewable Generation Monthly Peak Load The particular data required calculating Monthly Peak of the site could not be retrieved from the data provided by K-Electric due to the fact that Mohatta Palace, Karachi is charged under domestic tariff A1-R and as per policy of K-Electric the Maximum Demand (MD) is not recorded. Proxy feeder data was also not availabe. Current Tariff Applied The energy meter is installed at Mohatta Palace, has consumer No.BL with connected/sanctioned load of 102kW/102kW and is charged under domestic Tariff category A1-R. Monthly Billing & Account Receivables The monthly billing of Mohatta Palace Karachi is given in the Table 4-94, while table of account receivables is provided in Annexure XXXIV; VOL 3 of 3. Table 4-94: Monthly Billing of Mohatta Palace PKR in Million Months Amount Amount Amount July August September October November December January February March April May June Specifics of Twenty Large Public Buildings The specific data regarding electrical load i.e. pumps, air condition units and other major electrical devices related to Twenty Large Public Buildings are given in Annexure III Preliminary Siting & Analysis The Preliminary Siting of consumer of Twenty (20) Large Buildings is given in the Table 4-95 below: 4-81 June2016

115 Demand For Distributed Renewable Generation Table 4-95: Preliminary Siting of Twenty Large Public Buildings Name of Public Buildings Load (KW) Available Space (Sq. m) Possible Sites Estimated Solar Capacity (KW) Solar Loading Percentage Mazar-e-Quaid ,899 Vacant Land within Premises & Rooftop 11, Radio Pakistan Karachi 60 3,400 Vacant Land within Premises & Rooftop KDA Head Quarter ,600 Vacant Land within Premises & Rooftop 3, Hockey Stadium Karachi ,400 Vacant Land within Premises & Rooftop 2, SSP South Police Head Vacant Land within Premises Quarter Garden & Rooftop - - National Stadium Karachi ,000 Vacant Land within Premises & Rooftop 12, Pakistan Railway Station, Vacant Land within Premises ,000 Karachi Cantt. & Rooftop 21, Karachi Port trust Vacant Land within Premises - 4,500 Building & Rooftop 360 Pakistan Television Karachi Center 530 6,000 Rooftop Sindh Madressatul Islam Vacant Land within Premises ,000 Building & Rooftop Karachi Municipal Vacant Land within Premises 328 9,000 Corporation Building & Rooftop State Bank Building, Vacant Land within Premises 1,638 3,500 Karachi. & Rooftop Frere Hall, Karachi ,000 Vacant Land within Premises & Rooftop 4, Liaquat Memorial Library 77 5,000 Vacant Land within Premises & Rooftop Quaid E Azam House Vacant Land within Premises 42 8,500 Museum, Karachi & Rooftop Zoological Garden, Vacant Land within Premises ,100 Karachi & Rooftop 9, National Museum Karachi ,000 Vacant Land within Premises & Rooftop 4, Khaliq Dina Hall Library 45 2,300 Vacant Land within Premises & Rooftop Superme Court Registry, Vacant Land within Premises 175 2,200 Karachi & Rooftop Mohatta Palace, Karachi ,500 Vacant Land within Premises & Rooftop Total 6, ,899 75,751 Analysis Analysis of data collected from 20 public sector buildings and data collected from K- Electric reveals the following: Load in most of the buildings are very low (less than 1 MW) except KDA building and State Bank of Pakistan where load of more than a MW is observed. Total demand of the buildings surveyed is about 7.6 MW 4-82 June2016

116 Demand For Distributed Renewable Generation Monthly demand is varying in all cases and its pattern is almost same as of overall K-Electric system 4-83 June2016

117 Demand For Distributed Renewable Generation LAHORE (TASK 2) 5.1 LESCO Introduction The Lahore Electric Supply Company (LESCO) is a public utility company, providing electricity to the Lahore, Sheikhupura, Kasur, Okrara and Nankana districts of Punjab Province. LESCO was established in 1998 under Companies Ordinance, 1984 as a result of restructuring of the Power Wing of WAPDA after the enforcement of National Electric Power Regulatory Authority (NEPRA) Regulation of Generation, Transmission and Distribution of Electric Power Act (XL of 1997). The salient features of LESCO are presented in Table 5-1 below: Area of Operation Table 5-1: Salient Features of LESCO Capacity (Power Demand) Demand Length of H.T Lines Length of L.T Lines Operation Circles North Lahore Circle Central Lahore Circle Eastern Lahore Circle Okara Circle South-Eastern LHR Circle Sheikhupura Circle Kasur Circle Project Construction Circle G.S.O. Circle No. of Grid Station 100 No. of 220KV Grid Station 06 No. of 132KV Grid Station 84 No. of 132KV Grid Station 10 No. of 11KV feeders 1540 Total No. of Consumers 3,909,861 Civil Districts of Lahore, Kasur, Okara, Nankana and Sheikhupura. 6,250 MW 15,948 GWh 27,093 km 14,806 km 5 Divisions / 24 Sub Divisions 5 Divisions / 26 Sub Divisions 4 Divisions / 20 Sub Divisions 4 Divisions / 21 Sub Divisions 4 Divisions /21 Sub Divisions 5 Divisions / 29 Sub Divisions 5 Divisions / 22 Sub Divisions 4 Divisions 3 Divisions LESCO is presently serving approximately four Million customers out of which 3,228,510 are Domestic, 542,738 are Commercial, 58,382 are Agricultural, 77,277 are Industrial and 2,954 are others. Figure 5-1 shows the geographical map of LESCO 5-84 June 2016

118 Demand For Distributed Renewable Generation Figure 5-1: Geographical map of LESCO Methodology A dedicated Team was assigned for Task 2 related to LESCO, Major Universities, Major Hospitals and Large Public Buildings in Lahore city. Since a letter had already been sent among other stakeholders to LESCO CEO as well, we arranged a meeting with CEO LESCO to discuss the project through Ministry of Water and Power and requested him for necessary data and over all cooperation for the assignment. CEO (LESCO) promised to cooperate and deputed an officer for our contact and assistance. In internal deliberation the consultant team had already identified around June 2016

119 Demand For Distributed Renewable Generation locations including buildings, hospitals and universities for detailed study as required under the ToR. This list was discussed with the LESCO officials and finalized 20 buildings, 5 hospitals and as many universities for further study. Data sheets were developed for data collections and handed over to LESCO for necessary action. Computerized data regarding two items of Task 2-A (4&5) available with LESCO was for year only and did not cover Thus, the required information for year (to the extent of the available data) was obtained from manually filled log sheets of those independent/dedicated feeders at the grid stations from the respective substation staff and thus consumed considerable time. Apart from the above, computerized data, where available, has been duly utilized for the period it was available. Data collection against two items of Task 2-A (6&7) could be obtained to the extent it was available with the MIS department of LESCO. Concerted and continuous efforts and coordination of project team with the relevant department had to be exercised to secure the desired input. The information collected is for years as that for previous period it was not available with LESCO. Account receivables are summed up to June 2015 for the respective consumer categories, as provided by LESCO. Monthly accounts receivable data was not shared by LESCO saying that they don t have consumer wise monthly receivable data. In gathering specific data as per ToR requirements, following points are worth noting: i. Each and every building had to be physically visited to get the information regarding air conditioning and other major electrical devices as specified in ToR. ii. Number of these units have been counted and verified by visual inspection. iii. Penetration in such buildings, permission for obtaining requisite information from the concerned authorities of the buildings and thereafter coordination with the concerned department/personnel who had the specific information, was difficult and time consuming. Identification of sites & space for possible solar installations was accomplished by surveying complete building including rooftops, car parking, vacant lands etc. Available spaces in (m 2 ) have been measured by consultant team and marked on Map as per ToR requirement attached in Annexure-IIIA; VOL 2 of 3. After General data collection from LESCO and Specific data from concerned buildings, the team started work on data tabulation and analysis Data Collection and Analysis The data obtained directly from LESCO includes: Capacity and supplied by LESCO Annually ( June 2016

120 Demand For Distributed Renewable Generation ) LESCO Monthly Billing and Account Receivables (-) Typical Daily Load Curve (in peak seasons); Monthly Peak in Lahore Area (-) LESCO Generation Capacity and Supplied Annually The generating capacity and the energy supplied by LESCO during the fiscal years from 2011 to are given in Table 5-2: Table 5-2: Capacity & Supplied By LESCO Annually Capacity & Capacity 5,873 6,068 6,250 14,467 14,285 15,948 Source: LESCO LESCO Monthly Billing and Account Receivables (Unpaid) The monthly billing from the consumers of LESCO is given below in the Table 5-3,, while table of account receivables is provided in Annexure XXXVI; VOL 3 of 3. Table 5-3: LESCO Monthly Billing PKR In Million Months Billing Billing Billing Jul 14, , , Aug 14, , , Sep 15, , , Oct 14, , , Nov 14, , , Dec 9, , , Jan 9, , , Feb 10, , , Mar 13, , , Apr 10, , , May 14, , , Jun 16, , , Source: LESCO 5-87 June 2016

121 Demand For Distributed Renewable Generation Typical Daily Load Curve (Peak Season) & Monthly Peak in Lahore Area The typical daily load (in peak season) in Lahore Area during the fiscal years, and recorded by the LESCO are given in Table 5-4 below: Table 5-4: Typical Daily Load in Peak Season Time (Hrs) (Dated: ) (Dated: ) (Dated: ) ,663 3,408 3, ,695 3,502 3, ,828 3,476 3, ,972 3,444 3, ,624 3,665 3, ,366 3,563 3, ,327 3,774 3, ,428 3,847 3, ,475 3,880 3, ,580 3,940 3, ,690 3,645 3, ,663 3,841 3, ,747 3,850 3, ,617 3,880 3, ,456 3,769 3, ,879 3,880 3, ,776 3,810 3, ,704 4,258 4, ,859 4,787 4, ,042 3,999 3, ,914 3,905 4, ,065 3,990 4, ,809 3,522 3, ,410 3, Source: LESCO These are represented in graphical form, for fiscal years, and in Figures 5-2, 5-3 and 5-4 below: 5-88 June 2016

122 LOAD -MW LOAD -MW Demand For Distributed Renewable Generation Figure 5-2: Typical Load Profile of LESCO for the Year Dated: 03/08/ TIME Figure 5-3: Typical Load Profile of LESCO for the Year Dated: 22/05/ TIME 5-89 June 2016

123 LOAD -MW Demand For Distributed Renewable Generation Figure 5-4: Typical Load Profile of LESCO for the Year Dated: 05/07/ TIME Monthly Peak in Lahore Area Categories of load supplied by LESCO comprise mainly of domestic, industrial, commercial, agricultural, bulk supply and other categories like public lighting etc., with their percentage share estimated as 43.5%, 26.8%, 6.2%, 10.6%, 5.1% and 0.5% respectively according to latest figures available. The Monthly Peak Load in Lahore Area during the fiscal years, and recorded by the LESCO are given in Table 5-5 below: Table 5-5: Monthly Peak Months July 4,055 4,430 4,588 August 4,065 4,712 4,400 September 3,967 4,520 3,861 October 3,673 4,036 3,667 November 2,349 2,741 2,610 December 2,868 2,924 2,633 January 2,715 2,704 2,781 February 2,705 2,366 2,596 March 3,415 3,457 2,815 April 3,588 4,037 3,602 May 3,966 4,787 4,011 June 3,998 4,566 4,533 Source: LESCO 5-90 June 2016

124 LOAD Demand For Distributed Renewable Generation These are represented in graphical form in Figure 5-4 below: Figure 5-5: Monthly Peak MONTHS Source: LESCO A view of these loads as given in Figure 5-5 above, shows maximum demands appearing during peak summer months and minimum load during Airconditioners/heaters/fans off period (February, March, April). The trend shows domestic load to be dominant the characteristics generally reflect residential load combined with commercial touch. All other load does not carry much significance in the variation pattern June 2016

125 5.2 Major Universities Introduction Demand For Distributed Renewable Generation According to the Terms of Reference (ToR) five major universities in Lahore were chosen to be studied and analyzed in consultation with LESCO officials. University education is more than the next level in the learning process; it is a critical component of human development worldwide. It provides not only the high-level skills necessary for every labor market but also the training essential for teachers, doctors, nurses, civil servants, engineers, humanists, entrepreneurs, scientists, social scientists, and a myriad of other personnel. It is these trained individuals who develop the capacity and analytical skills that drive local economies, support civil society, teach children, lead effective governments, and make important decisions which affect entire societies. With education being the one of the most important basic rights that a government is supposed to provide to its citizens and also some private educational institute are involved to provide their services to the citizens so it is important for government to remove any hindrances that stand in the way of improving these educational facilities Methodology System related general data have been gathered from LESCO and their respective grid station as these institutions was supplied by dedicated feeder. In order to collect the other specific data required, our team visited these universities. Sometimes they refused to give correct, official documented data perhaps due to the reason that traditionally they don t keep such data or they don t have any system for data collection and storage. Therefore the data gathered was based on what we were told by the concerned person and what we generally observed ourselves during our visits to specific site. A photograph of University of Central Punjab is shown in Figure 5-6 Figure 5-6: University of Central Punjab 5-92 June 2016

126 Demand For Distributed Renewable Generation The five universities chosen are given in Table 5-6 below: Table 5-6: List of Selected Universities 1 Lahore College for Women University (LCFWU) 2 Services Institute of Medical Sciences (SIMS) College 3 International School 4 University of Central Punjab (UCP) 5 Pakistan Institute of Fashion Design (PIFD) Data Collection and Analysis Aggregated Capacity and Demand of Major Universities The aggregated capacity and energy demand of major universities in Lahore area during the fiscal years,, and are given in Table 5-7 below: Table 5-7: Aggregated Capacity from Major Universities Year Category Units Consumed (KWh) Max. Load (A) Max. Load Units Consumed (KWh) Max. Load (A) Max. Load Units Consumed (KWh) Max. Load (A) Max. Load Universities 4,419, ,175, ,102, The detailed sheets in extracting the above table have been annexed as Annexure- IV of VOL 2 of 3 Typical Daily Load Curve in Peak Period & Monthly Peak The typical load profile in peak season of major universities in Lahore Area during the fiscal years, and are presented below in Figures 5-7, 5-8, and 5-9 respectively: 5-93 June 2016

127 LOAD LOAD Demand For Distributed Renewable Generation Figure 5-7: Typical Daily Load Profile in Peak Season of Universities TIME(HOURS) LOAD Figure 5-8: Typical Daily Load Profile in Peak Season of Universities TIME(HOURS) LOAD 5-94 June 2016

128 LOAD Demand For Distributed Renewable Generation Figure 5-9: Typical Daily Load Profile in Peak Season for Universities TIME(HOURS) LOAD The detailed sheets in extracting the graphs above have been annexed as Annexure-V; VOL 2 of 3. The Monthly Maximum Load (peak) of major universities in Lahore area during the fiscal years, and are presented in Table 5-8 below: Table 5-8: Monthly Maximum Load (Peak) for Major Universities Task: 5(b) Months Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Current Tariff Applied to Major Universities The current tariff code and consumer category applied to Major Universities are given in Table 5-9 below: 5-95 June 2016

129 Demand For Distributed Renewable Generation Sr # Table 5-9: Current Tariff & Consumer Category for Major Universities Name Of Universities Tariff Code Consumer Category 4 Commercial 1 International School 6 Commercial 2 University of Central Punjab 3 Domestic 3 Services Institute of Medical Sciences College 29 Bulk 4 Lahore College for Women University 29 Bulk 5 Pakistan Institute of Fashion and Design 3 Domestic Monthly Billing and Account Receivables of Major Universities Monthly billing from July to Jun 2015 isgiven in Table 5-10, while monthly account receivables up to Jun 2015 is provided in Annexure XXXVII; VOL 3 of 3. Table 5-10: Monthly Billing Units of Major Universities Task 2: A General 7 Months Monthly Billing Units (KWh) Jul ,000 Aug ,000 Sep ,000 Oct ,000 Nov ,000 Dec ,000 Jan ,000 Feb ,000 Mar ,000 Apr ,000 May ,000 Jun ,000 Jul ,000 Aug ,000 Sep ,000 Oct ,000 Nov ,000 Dec ,000 Jan ,000 Feb ,000 Mar ,000 Apr ,000 May ,000 Jun , June 2016

130 Demand For Distributed Renewable Generation The detailed sheet in extracting the above table has been annexed as VI; VOL 2 of 3. Annexure- Universities demand & its Contribution to Peak Period of Supply System Characteristics of the demand of universities and its contribution to peak period of the supply system from (-14) are given in Tables 5-11, 5-12, and 5-13 below: The load curves for LESCO from (-14) in Figures 5-10, 5-11 and 5-12 below have been scaled down 100 times i.e. (Actual / 100) for clear visualization of variations. Time (Hrs) Table 5-11: Demand of Universities & Contribution to Peak Period Total Universities Demand LESCO Supply Loading With Respect to LESCO (%) 00:00-01: , :00-02: , :00-03: , :00-04: , :00-05: , :00-06: , :00-07: , :00-08: , :00-09: , :00-10: , :00-11: , :00-12: , :00-13: , :00-14: , :00-15: , :00-16: , :00-17: , :00-18: , :00-19: , :00-20: , :00-21: , :00-22: , :00-23: , :00-24: , June 2016

131 LOAD Demand For Distributed Renewable Generation Figure 5-10: Demand of Universities & Contribution to Peak Period TIME(HOURS) LOAD LESCO Table 5-12: Demand of Universities & Contribution to Peak Period Time (Hrs) Total Universities Demand LESCO Supply Loading With Respect to LESCO (%) 00:00-01: , :00-02: , :00-03: , :00-04: , :00-05: , :00-06: , :00-07: , :00-08: , :00-09: , :00-10: , :00-11: , :00-12: , :00-13: , :00-14: , :00-15: , :00-16: , :00-17: , :00-18: , :00-19: , :00-20: , :00-21: , :00-22: , :00-23: , :00-24: , June 2016

132 LOAD Demand For Distributed Renewable Generation Figure 5-11: Demand of Universities & Contribution to Peak Period TIME(HOURS) LOAD LESCO Table 5-13: Demand of Universities & Contribution to Peak Period Time (Hrs) Total Universities Demand LESCO Supply Loading With Respect to LESCO (%) 00:00-01: , :00-02: , :00-03: , :00-04: , :00-05: , :00-06: , :00-07: , :00-08: , :00-09: , :00-10: , :00-11: , :00-12: , :00-13: , :00-14: , :00-15: , :00-16: , :00-17: , :00-18: , :00-19: , :00-20: , :00-21: , :00-22: , :00-23: , :00-24: , June 2016

133 LOAD Demand For Distributed Renewable Generation Figure 5-12: Demand of Universities & Contribution to Peak Period of Supply TIME(HOURS) LOAD LESCO Share of Account Receivables by Universities Share of Account Receivables by Universities up to June, 2015 is given in Annexure XXXVIII; VOL 3 of 3: Specific Data The specific data for Universities is attached as Annexure-VII; VOL 2 of Preliminary Siting & Analysis According to a broad estimate, the average solar capacity is approximately 0.07 kw per square meter in Lahore, Pakistan. Keeping this in view, Table 5-14 below compares available space in various buildings versus estimated solar capacity. This capacity has been estimated by keeping in view the available space and other considerations that need to be accounted for solar installation June 2016

134 Demand For Distributed Renewable Generation Name of University Table 5-14: Universities Solar Estimate Load (A) Load (kw) Available Space (m 2 ) Solar Estimate (kw) Solar Loading Percentage International school , Lahore college for women university Pakistan institute of fashion and design Services institute of medical sciences college ,191 4, ,130 2, University of central Punjab , Average Percentage For Solar Conversion 78* *Weighted Average Average percentage of possible solar contribution of Universities is about 78% The preliminary siting data for Universities is attached as Annexure-VII; VOL 2 of 3 Analysis The above tables and figures present daily load of similar days (all summer days) of each year i.e ,-13 and -14; variations describe the following characteristics; i. The daily load variations of all the Universities are generally different from daily load variations of LESCO. This is because educational activities continue till afternoon only. ii. The loading pattern during the day (00:00-24:00 hrs.) and variation are similar in nature. There is initial peak around very early morning followed by a fall, till there reoccurrence as comparatively sharper rise again coinciding general wakeup time, activities preparatory to opening of schools/offices, and a further rise, a gradual one as the business activities start. As the business attains its full activities around midday, somewhat flatness is observed in the load indicating maximum participation of general public i.e. offices/schools/shops etc. this is closely followed by a dip again due to most probably closing of schools/ some offices/few business activities etc. Resumption of commercial activities is reflected in the hours that follow, with peak in the evening hours and the gradual fall after 22:00 hrs. till morning hours June 2016

135 Demand For Distributed Renewable Generation 5.3 Hospitals Introduction Four (4) major hospitals in Lahore were chosen to be studied and analyzed in consultation with LESCO officials where they could be a suitable candidate for producing their own energy through distributed renewable energy. With healthcare being one of the most important basic rights that a government is supposed to provide its citizens, it is important to remove any hindrances that stand in the way of improving these healthcare facilities Methodology Here also system related data was obtained in the same manner and issues faced were the same and most of the data provided here include observation made during site visit and discussion held with the concerned personnel in the hospitals. A photograph of Ganga Ram Hospital is shown in Figure 5-13 Figure 5-13: Ganga Ram Hospital The four hospitals chosen are given in Table 5-15 below: Table 5-15: List of Selected Hospitals 1 Ittifaq Hospital 2 Ganga Ram Hospital 3 Service Hospital 4 WAPDA Hospital June 2016

136 LOAD Demand For Distributed Renewable Generation Data Collection and Analysis Aggregated Capacity and Demand from Major Hospitals The aggregated capacity and energy demand for Major Hospitals in Lahore Area during the fiscal years,, and are given in Table 5-16 below: Table 5-16: Aggregated Capacity & Demand for Major Hospitals Task A-4(2) YEAR Category Units Consumed (KWh) Max. Load (A) Max. Load Units Consumed (KWh) Max. Load (A) Max. Load Units Consumed (KWh) Max. Load (A) Max. Load Hospitals 18,790, ,762, ,494, The detailed sheets in extracting the above table have been annexed as Annexure- VIII of VOL 2 of 3. Typical Daily Load Curve (In Peak Period) The typical load profile in peak season for major hospitals in Lahore Area during the fiscal years , -13, and -14 are presented below in the Figures 5-14, 5-15 and 5-16 respectively. Figure 5-14: Typical Daily Load Profile in Peak Season of the Hospitals TIME(HOURS) LOAD June 2016

137 LOAD LOAD Demand For Distributed Renewable Generation Figure 5-15: Typical Daily Load Profile in Peak Season of the Hospitals TIME(HOURS) LOAD Figure 5-16: Typical Daily Load Profile in Peak Season of the Hospitals TIME(HOURS) LOAD The detailed sheets in extracting the graphs above have been annexed as Annexure-IX; VOL 2 of 3 The Monthly Maximum Load (peak) for Major Hospitals in Lahore Area during the fiscal years , - 13 and -14 are presented in Table 5-17 below: June 2016

138 Demand For Distributed Renewable Generation Table 5-17: Monthly Maximum Load (Peak) for Major Hospitals Month Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Current Tariff Applied To Major Hospitals The current tariff code and consumer category applied to Major Hospitals are given in Table 5-18 below: Table 5-18: Current Tariff and Consumer Category for Major Hospitals SR # Name Tariff Code Consumer Category 1 Ittifaq Hospital 6 Commercial 2 Service Hospital 29 Bulk 3 Ganga Ram Hospital 29 Bulk 4 WAPDA Hospital 1 Domestic Monthly Billing and Account Receivables of Major Hospitals Monthly billing from July to Jun 2015 is given in Table 5-19, While monthly account receivables up to Jun 2015 is given in Annexure XXXIX; VOL 3 of June 2016

139 Demand For Distributed Renewable Generation Task 2: A General 7 Table 5-19: Monthly Billing Units Major Hospitals Months Monthly Billing Units (KWh) Jul-13 3,327,700 Aug-13 2,454,008 Sep-13 2,938,469 Oct-13 1,530,468 Nov ,081 Dec ,156 Jan-14 1,273,080 Feb ,003 Mar ,309 Apr-14 1,147,233 May-14 2,440,005 Jun-14 3,086,162 Jul-14 2,844,008 Aug-14 3,025,855 Sep-14 2,236,162 Oct-14 1,607,853 Nov ,388 Dec-14 1,063,695 Jan-15 1,344,157 Feb ,849 Mar ,310 Apr-15 1,611,080 May-15 2,698,930 Jun-15 2,800,162 The detailed sheet in extracting the above table has been annexed as Annexure-VI; VOL 2 of 3. Hospitals demand & its Contribution to Peak Period of Supply System Characteristics of the Demand of Hospitals and its Contribution to Peak Period of the Supply System from (-) are given in Tables 5-20, 5-21, and 5-22 below: The Load Curves for LESCO (Red) from (-) in Figures 5-17, 5-18 and 5-19 below have been scaled down 100 times i.e. (Actual / 100) for clear visualization of variations June 2016

140 LOAD Demand For Distributed Renewable Generation Table 5-20: Demand of Hospitals and Contribution to Peak Period ( ) Time (Hrs) Total Hospital Demand LESCO Supply Loading with Respect to LESCO (%) 00:00-01: , :00-02: , :00-03: , :00-04: , :00-05: , :00-06: , :00-07: , :00-08: , :00-09: , :00-10: , :00-11: , :00-12: , :00-13: , :00-14: , :00-15: , :00-16: , :00-17: , :00-18: , :00-19: , :00-20: , :00-21: , :00-22: , :00-23: , :00-24: , Figure 5-17: Demand of Hospitals and Contribution to Peak Period TIME(HOURS) LOAD LESCO June 2016

141 LOAD Demand For Distributed Renewable Generation Time (Hrs) Table 5-21: Demand of Hospitals and Contribution to Peak Period Total Hospital Demand LESCO Supply Loading with Respect to LESCO (%) 00:00-01: , :00-02: , :00-03: , :00-04: , :00-05: , :00-06: , :00-07: , :00-08: , :00-09: , :00-10: , :00-11: , :00-12: , :00-13: , :00-14: , :00-15: , :00-16: , :00-17: , :00-18: , :00-19: , :00-20: , :00-21: , :00-22: , :00-23: , :00-24: , Figure 5-18: Demand of Hospitals & Contribution to Peak Period of Supply TIME(HOURS) LOAD LESCO June 2016

142 LOAD Demand For Distributed Renewable Generation Table 5-22: Demand of Hospitals & Contribution to Peak Period Time (Hrs) Total Hospital Demand LESCO Supply Loading with Respect to LESCO (%) 00:00-01: , :00-02: , :00-03: , :00-04: , :00-05: , :00-06: , :00-07: , :00-08: , :00-09: , :00-10: , :00-11: , :00-12: , :00-13: , :00-14: , :00-15: , :00-16: , :00-17: , :00-18: , :00-19: , :00-20: , :00-21: , :00-22: , :00-23: , :00-24: , Figure 5-19 : Demand of Hospitals and Contribution to Peak period of Supply TIME(HOURS) LOAD LESCO June 2016

143 Demand For Distributed Renewable Generation Share of Account Receivables by Hospitals Share of Account Receivables by Hospitals up to June, 2015 is given in Annexure XL; VOL 3 of 3 Specific Data The specific data for Hospitals is attached as Annexure-X; VOL 2 of Preliminary Siting and Analysis According to a broad estimate, the average solar capacity is approximately 0.07 kw per square meter in Lahore, Pakistan. Keeping this in view, Table 5-23 below compares available space in various buildings versus estimated solar capacity. Table 5-23: Hospitals Solar Estimate Name of Hospitals Load (A) Load (kw) Available Space (m 2 ) Solar Estimate (kw) Solar Loading Percentage Ganga Ram Hospital 160 2,591 11, Ittafaq Hospital 80 1,295 4, Service Hospital 190 3,077 3, WAPDA Hospital 70 1,134 2, Average Percentage For Solar Conversion 49* *Weighted Average Average percentage of possible solar contribution of Hospitals is about 49% The preliminary siting data for Hospitals is attached as Annexure-X; VOL 2 of 3 Analysis The above tables and figures present daily load of similar days (all summer days) of each year i.e., and variations describe the following characteristics; i. The daily load variations of all the Hospitals generally appear as replica of daily load variations of LESCO. ii. The loading pattern during the day (00:00-24:00 hrs) and variation are similar in nature. There is initial peak around Fajar prayer timing followed by a fall, till there occurrence as comparatively sharper rise again coinciding general wakeup time, activities preparatory to opening of schools/offices, and a further rise, a gradual one as the business activities start. As the business attains its full activities around mid-day, somewhat flatness is observed in the load indicating maximum participation of general public i.e. offices/schools/shops etc. this is closely followed by a dip again June 2016

144 Demand For Distributed Renewable Generation due to most probably closing of schools/ some offices/few business activities etc. Resumption of commercial activities is reflected in the hours that follow, with peak in the evening hours and the gradual fall after 22:00 hrs till morning hours. 5.4 Public Buildings Introduction Initially twenty buildings were selected in consultation with LESCO which included some private buildings as well. One of the determining factors was that these building are known to public, famous and also these were supplied by dedicated/ independent feeders. However, since the requirement of the ToR was to select public buildings, therefore another round of discussion was held with LESCO and private buildings were replaced with public sector buildings. It is to be noted that, since some buildings are not being fed through independent feeders, therefore some approximation had to be applied with best technical judgment Methodology Data required would have been gathered easily and much more accurate, if the chosen buildings were on a dedicated feeder, through their respective feeder measurements. However, some of the general data was collected from LESCO and rest was collected from the respective grids, from where the building is supplied. The first ten building are supplied by dedicated feeder and their data are retrieved from their respective grid station. However Public Buildings No.11 to 20 are fed by more than one feeder. Approach that had to be adopted for data collection of these building, on proportionate load basis determined on the ratio of energy consumption of the building with the feeder consumption and the resultant outputs were not different from what the team expected i.e. due to approximations involved. In order to collect the remaining general and specific data required, consultant team visited these twenty buildings..a photograph of Expo Center is shown in Figure 5-20 Figure 5-20: Expo Center, Lahore June 2016

145 Demand For Distributed Renewable Generation The list of the final selected building is given Table 5-24 below: Table 5-24: List of Selected Buildings 1 Radio Pak 2 Shaheen Complex 3 STP 4 WAPDA House 5 Alhamra A.C 6 Government Printing Press 7 LESCO Head Quarter 8 Expo Center 9 Regional Income Tax House 10 Forensic Science Lab 11 GPO 12 NBP RHQ Building 13 SNGPL Head Office 14 Audit Complex 15 A.G Office 16 BISE Lahore 17 Postmaster General 18 Water & Sanitation Agency(Sewerage Plant) 19 Bank Of Punjab (BOP Tower) 20 State Bank Of Pakistan Data Collection and Analysis Aggregated Capacity and Demand of 20 Large Public Buildings The aggregated capacity and energy demand for 20 large public buildings in Lahore Area during the fiscal years, and are given in Table 5-25 below: Table 5-25 : Aggregated Capacity for Public Buildings TASK: 4 Year Category Units Consumed (KWh) Max. Load (A) Max. Load Units Consumed (KWh) Max. Load (A) Max. Load Units Consumed (KWh) Max. Load (A) Max. Load Public Buildings 21,608,425 1, ,651, ,768, The detailed sheets in extracting the above table are at Annexure-XI of VOL 2 of 3. Typical Daily Load Curve (in Peak Period) The typical load profile in peak season for Public Building in Lahore Area during the fiscal years, and are presented in below Figures 5-21, 5-22 and 5-23 respectively June 2016

146 LOAD LOAD Demand For Distributed Renewable Generation Figure 5-21 : Typical Daily Load Profile in Peak Season for Public Buildings HOURS Figure 5-22 : Typical Daily Load Profile in Peak Season for Public Buildings HOURS June 2016

147 LOAD Demand For Distributed Renewable Generation Figure 5-23 : Typical Daily Load Profile in Peak Season for Public Buildings HOURS The detailed sheets in extracting the graphs above have been annexed as Annexure-XII. The Monthly Maximum Load (peak) for Public Building in Lahore Area during the fiscal years, and are presented in Table 5-26 below: Table 5-26 : Monthly Maximum Load (Peak) for Public Buildings Task: 5(b) Months Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Current Tariff Applied to Public Consumer Categories The current tariff code and consumer category applied to public buildings are given in Table 5-27 below: June 2016

148 Demand For Distributed Renewable Generation Table 5-27: Current Tariff and Consumer Category for Public Buildings Sr # Name Tariff Code Consumer Category 1 Regional Income Tax House 6 Commercial 2 Shaheen Complex 6 Commercial 3 STP 6 Commercial 4 WAPDA House 5 LESCO Head Quarter 1 Domestic 11 Industrial 6 Commercial 6 Commercial 6 Commercial 6 Commercial 6 Radio Pak 14 Industrial 7 Alhamra A.C 6 Commercial 18 Expo Centre 6 Commercial 19 Forensic Science Lab 3 Domestic 10 Government Printing Press 11 GPO 12 NBP RHQ Building 9 Industrial 12 Industrial 9 Industrial 4 Commercial 4 Commercial 4 Commercial 7 Industrial 6 Commercial 4 Commercial 13 SNGPL Head Office 6 Commercial 14 Audit Complex 15 A.G Office 16 BISE Lahore 4 Commercial 6 Commercial 4 Commercial 5 Commercial 4 Commercial 5 Commercial 1 Domestic 11 Industrial 17 Postmaster General 6 Commercial 18 Water & Sanitation Agency (Sewerage Plant) 19 Bank of Punjab (BOP Tower) 14 Industrial 12 Industrial 12 Industrial 12 Industrial 12 Industrial 20 State Bank of Pakistan 3 Domestic June 2016

149 Demand For Distributed Renewable Generation Monthly Billing and Account Receivables of Public Buildings Monthly billing from July to Jun 2015 is given in Table 5-28 and monthly account receivables up to Jun 2015 is provided in Annexure- XLI; VOL 3 of 3 TASK 2: A General 7 Table 5-28: Monthly Billing Units Months Units (KWh) Jul-13 2,362,003 Aug-13 2,395,306 Sep-13 2,272,531 Oct-13 1,997,066 Nov-13 1,548,327 Dec-13 1,478,584 Jan-14 1,296,620 Feb-14 1,244,092 Mar-14 1,431,543 Apr-14 1,596,757 May-14 2,333,169 Jun-14 2,382,387 Jul-14 2,281,014 Aug-14 2,684,232 Sep-14 2,340,994 Oct-14 1,766,737 Nov-14 1,427,592 Dec-14 1,395,964 Jan-15 1,437,309 Feb-15 1,347,022 Mar-15 1,654,819 Apr-15 2,078,064 May-15 2,661,898 Jun-15 2,614,530 The detailed sheet in extracting the above table has been annexed as Annexure-VI; VOL 2 of 3. Characteristics of the Demand of Buildings & its Contribution to Peak Characteristics of the Demand of Universities and its Contribution to Peak Period of the Supply System from (-) are given in Tables 5-29, 5-30, and 5-31 below: The Load Curves for LESCO (Red) from (-) in Figures 5-24, 5-25 and 5-26 below have been scaled down 100 times i.e. (Actual / 100) for clear visualization of variations June 2016

150 LOAD Demand For Distributed Renewable Generation Table 5-29: Demand of Buildings & Contribution to Peak Period of Supply Time (Hrs) Total Demand LESCO Supply Loading with Respect to LESCO (%) 00:00-01: , :00-02: , :00-03: , :00-04: , :00-05: , :00-06: , :00-07: , :00-08: , :00-09: , :00-10: , :00-11: , :00-12: , :00-13: , :00-14: , :00-15: , :00-16: , :00-17: , :00-18: , :00-19: , :00-20: , :00-21: , :00-22: , :00-23: , :00-24: , Figure 5-24: Demand of Buildings & Contribution to Peak Period TIME(HOURS) LOAD LESCO June 2016

151 LOAD Demand For Distributed Renewable Generation Table 5-30: Demand of Buildings & Contribution to Peak period Time (Hrs) Total Demand LESCO Supply Loading with Respect to LESCO (%) 00:00-01: , :00-02: , :00-03: , :00-04: , :00-05: , :00-06: , :00-07: , :00-08: , :00-09: , :00-10: , :00-11: , :00-12: , :00-13: , :00-14: , :00-15: , :00-16: , :00-17: , :00-18: , :00-19: , :00-20: , :00-21: , :00-22: , :00-23: , :00-24: , Figure 5-25: Demand of Buildings & Contribution to Peak Period TIME(HOURS) LOAD LESCO June 2016

152 LOAD Demand For Distributed Renewable Generation Table 5-31: Demand of Buildings & Contribution to Peak Period Time (Hrs) Total Demand LESCO Supply Loading with Respect to LESCO (%) 00:00-01: , :00-02: , :00-03: , :00-04: , :00-05: , :00-06: , :00-07: , :00-08: , :00-09: , :00-10: , :00-11: , :00-12: , :00-13: , :00-14: , :00-15: , :00-16: , :00-17: , :00-18: , :00-19: , :00-20: , :00-21: , :00-22: , :00-23: , :00-24: , Figure 5-26: Demand of Buildings & Contribution to Peak Period TIME(HOURS) LOAD LESCO June 2016

153 Demand For Distributed Renewable Generation Share of Account Receivables by Buildings Share of Account Receivables by Buildings up to June, 2015 is given in Annexure XLII of VOL 3 of 3 Specific Data The specific data for Buildings is attached as Annexure-XIII; VOL 2 of Preliminary Siting and Analysis According to a broad estimate, the average solar capacity is approximately 0.07 kw per square meter in Lahore, Pakistan. Keeping this in view, Table 5-32 compares available space in various buildings versus estimated solar capacity. Task C Name Of Public Buildings Table 5-32: Public Buildings Solar Estimate Load (A) Load (kw) Available Space (m 2 ) Solar Estimate (kw) Solar Loading Percentage Arfa Software Technology Park 190 3,077 22, Alhamra A.C 63 1,020 2, Expo Centre 74 1,197 43,525 3, Forensic Science Lab , Government Printing Press , LESCO H.Q , Radio Pakistan ,022 1, Regional Income Tax 70 1,134 1, Shaheen Complex 90 1,458 3, WAPDA House 100 1, GPO , NBP RHQ Building , SNGPL Head Office Audit Complex , A.G Office , BISE Lahore , Postmaster General , Water & Sanitation 90 1, Agency(Sewerage Plant) Bank of Punjab (BOP Tower) State Bank of Pakistan , Total 1,068 17, ,251 23,750 Average Percentage for Solar Conversion 137* *Weighted average Average percentage of possible solar contribution of Buildings is about 137%. The preliminary siting data for Buildings is attached as Annexure-XIII; VOL 2 of June 2016

154 Demand For Distributed Renewable Generation Analysis The above tables and figures present daily load of similar days (all summer days) of each year i.e., and variations describe the following characteristics; i. The peak load for public buildings appears in the afternoon because public buildings are mostly close in the evening. While the peak load for LESCO appears in evening. ii. The loading pattern during the day (00:00-24:00 hrs.) and variation are similar in nature. iii. There is initial peak around Fajar prayer timing followed by a fall, till there occurrence as comparatively sharper rise again coinciding general wakeup time, activities preparatory to opening of schools/offices, and a further rise, a gradual one as the business activities start. As the business attains its full activities around mid-day, somewhat flatness is observed in the load indicating maximum participation of general public i.e. offices/schools/shops etc. this is closely followed by a dip again due to most probably closing of schools/ some offices/few business activities etc. Resumption of commercial activities is reflected in the hours that follow, with peak in the evening hours and the gradual fall after 22:00 hrs till morning hours. A study of these tables/graphs reveals that the contribution of the buildings to the peak period of LESCO supply system spread over the period is very little/negligible, varying in the range from 0.37% (Max) to 0.07% (Min) June 2016

155 END-OF-GRID (IESCO) Introduction Demand For Distributed Renewable Generation End of Grid (IESCO) is supplying power to the civil districts of Islamabad capital, Rawalpindi, Attock, Chakwal and Jehlum. This Company came into existence in the year 2001 after unbundling of WAPDA system. Earlier it was known as Islamabad Area Electricity Board (AEB). Its distribution network in the year 2001 was comprised of forty six 132 kv, fourteen 66 kv and five 33kV sub-stations and ending June 2015 it has sixty eight 132 kv, nine 66 kv and five 33 kv substations. This shows substantial expansion in the system based on the increase in consumer s base. Figure 6-1 shows the geographical map of IESCO Figure 6-1: Geographical Map of IESCO 6-1 June 2016

156 IESCO System Statistics Demand For Distributed Renewable Generation The computed peak demand of IESCO in the year was2,347 MW, and recorded peak demand was 1,381 MW, energy sale was 8,147 GWh and energy purchased was 8,816 GWh. Figure 6-2 shows the computed peak demand and recorded peak demand of IESCO (-). The total number of consumers ending June was Million out of which Million were domestic, Million were commercial and Million were agricultural. Figure 6-3 shows the increase in number of consumers of IESCO (-). In the year the total length of 11 and 0.4 Kv are 24,268 and 26,143 Km respectively. The connected MVA is 3737 ending June. Transmission and distribution losses at the end of were 2% and 8% respectively. At the end of total sale of IESCO in terms of megawatt was 1,426 MW, which includes 955 MW for the domestic sector, 292 MW for medium & large industries and 26 MW for small industries. The shares of domestic sector and industrial sector were 67% and 20.51% respectively with respect to total energy sale Figure 6-4 and 6-5 shows sales of and respectively Figure 6-2: Computed & Recorded Peak Demand of IESCO (-14) Capacity (Computed Peak Demand) Capacity (Recorded Peak Demand) 6-2 June 2016

157 Demand For Distributed Renewable Generation Figure 6-3: Number of Consumers of IESCO (-) 2,400,000 2,350,000 2,300,000 2,250,000 2,200,000 2,150,000 2,100, Figure 6-4: Sales of 0.97% 12.75% 1.86% Domestic Tube Well M&L Industries 23.85% 59.45% Small Industries Public Light Commercial 1.12% 6-3 June 2016

158 Demand For Distributed Renewable Generation Figure 6-5: Sales of 2% 1% 12% Domestic Tube Well 23% 1% 61% M&L Industries Small Industries Public Light Commercial Methodology The detailed plan earlier chalked out was followed to accrue the objectives categorically with regard to selection of Remote Areas as per ToR in the following manners. Organizational Approach CEO IESCO was approached and a detailed meeting was held with the CEO and his technical team. CEO was kind enough to nominate a Chief Engineer as focal person for liaison, data collection and guide the consultant team. The team discussed further the data requirement and developed data sheet with his assistance and handed over to the Chief Engineer to pass on to the concerned formations of IESCO for data. In the data acquisition process first of all general data related to overall IESCO system was obtained. A list of remote grid stations along with details of capacity of power transformers (T/Fs), maximum and minimum load on 11 KV feeders emanating from such category Grid Stations, technical & administrative losses (both as per record sequel to load flows), units received, billed & receivables, T/Fs installed capacity-wise to asses connected KVA, feeder length of line and conductor size with segregation, configuration (whether vertical, horizontal or diagonal) and list of specific category consumers likewise, agri pumps and agro processing pumps with inputs related to sanction load to match it at site through physical verifications. This was followed by carrying out screening analysis of all 6-4 June 2016

159 Demand For Distributed Renewable Generation remote end grid station. Two specific grid stations were selected in consultation with the utility officials for detailed analysis as stipulated in the ToR. The next steps were; To collect operational data of selected grids To visit site to verify the official data collected and to get primary data. To determine distributed generation potential, economic evaluation and preliminary siting exercise. Screening Analysis Tail-End-Grid & T/Lines Network, Power demand projection is made at DISCO level by taking in to account the forecast on economic development, forecast of consumers connection etc. Accordingly IESCO has also developed Electricity demand forecast based on Power Market Survey (PMS) (-24) referred and aggregated potential demand (Capacity & Use) including & excluding quantum of load shedding for all category consumers by taking into account the annual growth rates as provided in following tables: Forecast based on recorded load ( Table 6-1) Forecast based on computed load ( Table 6-2) The IESCO s jurisdiction for supply of electricity extends in four civil districts i.e Rawalpindi, Islamabad, Attock, Jehlum and Chakwal. The identified tail end grid is located in all these districts. Therefore the demand projections made by IESCO fully meets the ToR requirement. However there are some tail end grid located in AJK territory where bulk power is supplied and distribution is done by the AJK electricity department. Year Table 6-1: PMS Recorded Forecast (Excluding Load Shedding) Sale Distribution Losses Transmission Losses G.R (%) (%) Sent out Load Factor (%) Peak Demand -14 8, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,788 Ave. Growth (-24) 6.49% 6.47% 6.78% 6-5 June 2016

160 Demand For Distributed Renewable Generation Table 6-2: PMS Computed Base Forecast Year Sale Computed Sale G.R Distribution Losses Transmission Losses Computed Sent Out Load Factor Computed Peak Demand G.R (%) (%) (%) (%) (%) -14 8,192 10, , , ,788 11, , , ,430 11, , , , ,313 12, , , , ,975 13, , , , ,670 14, , , , ,357 15, , , , ,093 15, , , , ,838 16, , , , ,596 17, , , , ,364 18, , , , Ave. Growth (-24) 5.62% 5.60% 5.85% 6-6 June2016

161 Demand For Distributed Renewable Generation A detailed discussion was held with IESCO personnel and 10 grids stations of 132 KV namely Noorpur Sethi, Pinanwal, Talagang, Bhagwal, Basal, Ahmedal, Pindi Gheb, Chaint, Muree & Baragowh located at the tail end of IESCO's Network identified. Tail ended mean, a Radial Network with no alternatives for feedback as happened in case of Ring system, where 2nd circuit can be energized from source if one circuit becomes under permanent fault. Single Line Diagram of Grid & T/Lines System is as below in Figure 6-6: Figure 6-6: Single Line Diagram of Grid & T/Lines System of IESCO All technical and commercial data with respect to all 10 tail end Grid Stations showing maximum load, length of line with size of conductors, category wise consumers with load, energy billed, losses both technical, administrative and %age losses as per book & total connected KVA has been collected and are provided at Tables 6-3 to 6-8 while year wise units received and receivables (PKR in Million) are provided in Annexure XLIII; VOL 3 of 3, 6-7 June 2016

162 Demand For Distributed Renewable Generation Table 6-3: Maximum Load Recorded Sr # Name of Grid Station (132 KV) 1 Nur Pur Sethi 2 Pinanwal 3 Talagang 4 Bhagwal 5 Basal 6 Ahmedal Name of Outgoing 11 KV Maximum Load (Amp) Maxi: Recorded Amp Overall Maxi: Recorded Amp (Date & Time) K.Kahar /6/ Miani /6/ Munara /6/ I/Camp /8/ Padhrar /6/ C.W.O /6/ Maj Riaz Rawal /7/ Sagarpur /8/ T/Gang Cit /7/ Jhatla /7/ Dharabi /6/ Kot Sarang /7/ Mian Bazar /7/ Mogla Not installed /6/ Bilabad /6/ Malikwal Not installed /9/ DK Pathan N/I /18/ Neela /6/ Hasil /7/ Kot Chudary /6/ Balkasar /7/ Bhatiot /7/ Mian Wala /6/ Mithial /6/ Chajimar /6/ Azem Shaheed /6/ Ahmedal /7/ Dhurnal /7/ Khour /8/ M.Shaheed /6/ Pindigheb Gharibwal /6/ June 2016

163 Demand For Distributed Renewable Generation Sr # Name of Grid Station (132 KV) 8 Chaint 9 Muree 10 B.Gowa Name of Outgoing 11 KV Maximum Load (Amp) Maxi: Recorded Amp Overall Maxi: Recorded Amp (Date & Time) P/Gheb /6/ Toot Oil /7/ Malhowali /6/ New City /6/ Soni /6/ Lehtrar /7/ Kotli Satian /8/ Balavera /8/ P.Point /6/ Barrian /8/ P.Health /6/ Gharrial /7/ P.A.F /8/ Upper Topa /8/ Lora /8/ Patriata /8/ Camp.Bagh /7/ Cecial Lora /7/ MCM /8/ Kohalla /7/ Kuldana /8/ P.C /7/ S/Bank /6/ Bugowal /6/ Hasnot /7/ Phadyal /7/ Domeli /6/ June 2016

164 Demand For Distributed Renewable Generation Table 6-4: Units of Tail End Grids Sr # Name of Grid Station (132 KV) Name of Outgoing 11 KV K.Kahar Nur Pur Sethi Miani Munara I/Camp C.W.O Pinanwal Maj Riaz Rawal Sagarpur T/Gang Cit Jhatla Dharabi Kot Sarang Talagan Mian Bazar Mogla Bilabad Malikwal DK Pathan Neela Bhagwal Hasil Kot Chudary Balkasar Bhatiot Basal Mian Wala Mithial Chajimar Ahmedal Ahmedal Dhurnal Khour M.Shaheed Gharibwal Pindigheb P/Gheb Toot Oil June 2016

165 Demand For Distributed Renewable Generation Sr # Name of Grid Station (132 KV) Name of Outgoing 11 KV Malhowali New City Soni Chaint Lehtrar P.Point Barrian P.Health Gharrial P.A.F Muree Upper Topa Patriata Camp.Bagh Cecial Kohalla Kuldana P.C Bugowal B.Gowa Hasnot Phadyal Domeli June 2016

166 Demand For Distributed Renewable Generation Table 6-5: Percentage Losses Name of Grid Station (132 KV) Nur Pur Sethi Talagang Bhagwal Basal Ahmedal Pindighed Name of Outgoing 11 KV % age Losses %age Losses As Per Technical (-15) Administrative (-15) Output K.Kahar Miani Munara I/Camp Maj Riaz Rawal Sagarpur T/Gang Cit Jhatla Dharabi Kot Sarang Mian Bazar Mogla Bilabad Malikwal DK Pathan Neela Hasil Kot Chudary Balkasar Bhatiot Mian Wala Mithial Chajimar Ahmedal Dhurnal Khour M.Shaheed Gharibwal P/Gheb Toot Oil Malhowali New City June 2016

167 Demand For Distributed Renewable Generation Name of Grid Station (132 KV) Chaint Muree B.Gowa Name of Outgoing 11 KV % age Losses %age Losses As Per Technical (-15) Administrative (-15) Output Lehtrar Kotli Satian _ Balavera P.Point Barrian P.Health 3 (-) Gharrial P.A.F. 3 (-) Upper Topa Patriata Cecial Lora MCM Kohalla Kuldana P.C Bugowal Hasnot Phadyal Domeli June 2016

168 Demand For Distributed Renewable Generation Table 6-6: Category Wise Consumer Statistics Sr # 1 Name of Grid Station (132 KV) Nur Pur Sethi 2 Pinanwal 3 Talagang 4 Bhagwal 5 Basal 6 Ahmedal Name of Outgoing 11 KV Consumer Statistics (Feeder Wise) and connected Load Total Numbers & Connected Load Commercial Industrial Tube Well Others Load Load Load Load Load No. No No No No (KW) (KW) (KW) (KW) (KW) K.Kahar 500 1, , ,816 12,171 Miani 620 1, , ,815 10,480 Munara 550 1, , ,106 12,047 I/Camp , ,750 C.W.O Maj Riaz 597 1, ,339 11,808 Rawal 780 1, , ,065 13,915 Sagarpur 1,132 1, ,009 13,516 T/Gang Cit 895 1, ,574 12,397 Jhatla ,328 15,261 Dharabi 735 1, ,549 8,477 Kot Sarang ,881 11,204 Mian Bazar 923 1, ,088 13,453 Mogla ,573 10,214 Bilabad ,795 15,635 Malikwal 649 1, ,233 5,870 DK Pathan ,496 11,894 Neela ,465 9,759 Hasil ,270 7,769 Kot Chudary ,744 9,898 Balkasar 973 1, ,343 12,193 Bhatiot ,373 Mian Wala ,262 Mithial ,914 Chajimar ,339 Azem Shaheed ,869 Ahmedal ,619 Dhurnal ,785 Khour ,375 M.Shaheed , June 2016

169 Demand For Distributed Renewable Generation Sr # Name of Grid Station (132 KV) 7 Pindigheb 9 Muree 10 B.Gowa Name of Outgoing 11 KV Consumer Statistics (Feeder Wise) and connected Load Total Numbers & Connected Load Commercial Industrial Tube Well Others Load Load Load Load Load No. No No No No (KW) (KW) (KW) (KW) (KW) Gharibwal ,132 P/Gheb ,844 Toot Oil 1,545 3, , ,383 Malhowali ,749 New City 415 1, ,535 Soni ,123 Kotli Satian ,045 6,828 Balavera ,903 2,168 P.Point ,272 6,018 Barrian ,904 4,441 P.Health , ,314 Gharrial ,253 11,665 P.A.F Upper Topa ,587 3,810 Patriata 471 1, ,076 12,887 Camp.Bagh ,091 8,816 Cecial , MCM Kohalla 544 1, ,727 11,514 Kuldana 1,037 4, ,437 12,317 P.C 3 1, ,163 S/Bank 831 2, ,397 2,768 7,770 Bugowal ,542 Hasnot ,386 Phadyal ,847 Domeli , June 2016

170 Demand For Distributed Renewable Generation Table 6-7: Length and Size of Conductors Sr # Name of Grid Station (132 KV) 1 Nur Pur Sethi 2 Pinanwal 3 Talagang 4 Bhagwal 5 Basal 6 Ahmedal 7 Pindighed Name of Outgoing 11 KV Length with Reference to Size of Conductor (KM) Osprey Dog Rabbit Gopher Total K.Kahar Miani Munara I/Camp C.W.O Maj Riaz Rawal Sagarpur T/Gang Cit Jhatla Dharabi Kot Sarang Mian Bazar Mogla Bilabad Malikwal DK Pathan Neela Hasil Kot Chudary Balkasar Bhatiot Mian Wala Mithial Chajimar Azem Shaheed Ahmedal Dhurnal Khour M.Shaheed Gharibwal P/Gheb Toot Oil Malhowali June 2016

171 Demand For Distributed Renewable Generation Sr # Name of Grid Station (132 KV) Name of Outgoing 11 KV Length with Reference to Size of Conductor (KM) Osprey Dog Rabbit Gopher Total New City Soni Chaint 9 Muree 10 B.Gowa Lehtrar Kotli Satian Balavera P.Point Barrian P.Health Gharrial P.A.F Upper Topa - _ Lora Patriata Camp.Bagh - _ Cecial Lora MCM Kohalla Kuldana P.C S/Bank Bugowal Hasnot Phadyal Domeli June 2016

172 Demand For Distributed Renewable Generation Table 6-8: Distribution & Capacity wise Transformer Sr # 1 Name of Grid Station (132 KV) Nur Pur Sethi 2 Pinanwal 3 Talagang 4 Bhagwal 5 Basal 6 Ahmedal Name of Outgoing 11 KV No. of Distribution wise Transformers Capacity Wise (KVA) Total KVA Connected K.Kahar ,200 3,000 2,700 2, ,330 Miani ,650 2,600 2, ,450 Munara ,225 2,450 2,400 2, ,075 I/Camp , ,000 C.W.O Maj Riaz ,100 2,500 1, ,975 Rawal ,900 4,200 1, ,275 Sagarpur ,050 2,800 1, ,900 T/Gang Cit ,850 1,300 1, ,975 Jhatla ,975 3,150 1, ,025 Dharabi ,675 2,600 1,700 1, ,175 Kot Sarang ,475 3,250 1,500 1, ,425 Mian Bazar ,300 1, ,525 Mogla ,900 2,300 1, ,825 Bilabad ,625 3,850 1, ,875 Malikwal ,625 DK Pathan ,225 2, ,825 Neela ,200 2,500 2, ,100 Hasil ,150 2, ,250 Kot Chudary ,175 2,650 1,800 1, ,825 Balkasar ,000 1,300 1, ,300 Bhatiot ,000 1, , ,350 Mian Wala ,500 2, ,750 Mithial ,450 1,750 1, ,300 Chajimar ,650 2, ,450 Azem Shaheed ,550 Ahmedal ,425 2,400 2,300 2, ,125 Dhurnal ,775 2,250 1, ,855 Khour ,325 7,700 5,100 2, ,755 M.Shaheed ,125 3,050 1, , June 2016

173 Demand For Distributed Renewable Generation Sr # Name of Grid Station (132 KV) 7 Pindighed Name of Outgoing 11 KV No. of Distribution wise Transformers Capacity Wise (KVA) Total KVA Connected Gharibwal ,675 1,850 1, ,825 P/Gheb ,500 1, ,625 Toot Oil Malhowali ,125 3, , ,325 New City , ,700 Soni ,000 2,400 1, ,400 8 Chaint 9 Muree 10 B.Gowa Lehtrar , ,700 Kotli Satian ,850 3, ,700 Balavera ,875 2, ,225 P.Point ,300 1, ,600 Barrian ,300 1, ,350 P.Health , ,800 Gharrial ,400 2, ,650 P.A.F ,260 1,710 Upper Topa , ,950 Lora 5,750 Patriata ,700 2, ,825 Camp.Bagh ,350 2,800 1, ,800 Cecial , MCM ,525 Kohalla , ,550 Kuldana ,000 3,000 6, ,520 P.C ,260 1,260 10,480 S/Bank ,800 5, ,325 Bugowal ,075 3,450 1, ,325 Hasnot , ,200 Phadyal ,100 3, ,850 Domeli ,150 4,000 2,700 1, , June 2016

174 Demand For Distributed Renewable Generation Potential Aggregated Demand in End of Grid Technical data of all tail end grid stations (except the grids located in AJK area) has been collected and are tabulated in tables above. Cumulative demand of these grids is tabulated in Table 6-9 below and projected for next ten years up to 2024 on the basis of demand growth rates of overall IESCO system. The above table shows that total demand of tail end grids is expected to increase from 176 MW in to 363 MW in It is worth to mention here that all the tail end grid are far away from power feeding points that is far away from power generation stations and main grids. Therefore these marred with low voltage and high losses. In addition, due to its location in the far-flung area of the utility it is also highly vulnerable to load shedding. The population of such are normally complain for load shedding of hours in peak summer. This load shedding coupled with low voltage and heavy line losses is severely affecting their normal economic activity. Since almost entire northern Punjab s economy is agriculture based, therefore they need to run their tube wells to water their crops. In addition there are a lot of economic activity which is dependent on agricultural produce; like there are many agro processing industries that requires electricity and in the absence of grid power or due to availability of poor quality of power they are forced to use diesel generators to meet their power demand which is expensive and additional burden on their already deplorable economic conditions. Now there are a number of options to give some relief to poor consumers of these rural areas viz i) overall power supply to these area is increased according to area requirement and reduce load shedding, and for this purpose over all power generation will need to be increased which will be fed in to main grid and will have minimum impact on these area power supply situation, ii) rehabilitate existing distribution lines and power transformation capacity which will be an expensive option and iii) establish a distributed power generation system by using renewable energy technologies and install a small solar park or use wind energy, if potential is available or develop and small bio mass based power plant using rice husk and other alternate source of fuel or use bio gas for smaller power generation units (since these are agricultural based areas therefore bagasse and animal dung are available in the area) or use diesel power generation which will be expensive option and feed directly in to existing grids June 2016

175 Demand For Distributed Renewable Generation Grid Station N.P Sethi Table 6-9: Existing and Projected Demand of Tail End Grids Pinanwal Talagang Basal Bhagwal Baragowah Chaint Muree P.Gheb Ahmedal Total Demand Maximum Demand ( MW) Years June 2016

176 Demand For Distributed Renewable Generation In view of above discussion it is evident that the third option appears to be the only viable and suitable option. However, for implementation of option further studies will need to be conducted. A detailed ranking study needs to be initiated for all tail end grids to access the potential demand of every tail end grid. It should also access the potential of alternative energy resources that could meet requirement of the area in a sustainable manner. In addition technical status of existing grids and its affiliated distribution lines also will need to be looked to access the amount of additional that can fed in to the existing system. The ranking should be based on financial and economic viability of the project. Based on this ranking study, best ranked grid could be picked for further actions. There will be some regulatory and management issues like; if such type of intervention will be allowed by the regulator, will the concerned DISCO be willing to take such intervention, who is going to fund intervention, if DISCO do not agree for such intervention then who and how this is going to be implemented etc. All such type of questions needs to be looked in to before finalizing any intervention. Site Specific Demand Analysis 10 tail-ended 132 KV grid stations were selected with the assistance of IESCO. Geographical map and single line diagram of Grid and T/L Network was collected. This was essential for selection of 1-2 sites for case studies with regard to site specific demand analysis and least cost analysis. The following discussion will reveal the criteria for selection of 1-2 sites for renewable energy generation. The sites to be selected would have the following demerits Excessive length of 11 Kv feeder Major potion with under size conductor eventually contributing to high I 2 R Losses Loading conditions Beyond current carrying capacity Small-size conductor High losses collectivity both technically and administrative. Voltages level both on 66 or 132 Kv bus bar and measured at consumer premises having 3-phase supply. Billing and receivable etc. Extracted from inputs Hourly loading P.F and voltages for the day when maximum load recorded in the period The company does not have updated data of technical losses beyond and it was apprised that task has been assigned to some private firm. Similarly the digitization task of 11 Kv network has not been finalized so far despite the fact that all distribution companies including IESCO stands equipped with related software 6-22 June 2016

177 Demand For Distributed Renewable Generation under USAID PDP funding plan, which is mandatory to facilitate load flows for correct and healthy solutions under ELR ( Loss Reduction). This latest software leads towards ascertaining the present technical losses correctly. Data Collection After having all inputs in respect of 11 KV feeders emanating from 10 x 132 KV tail ended Grid Stations, we selected 2 x Grid Stations namely Pinawal and Talagang located in Pind Dadan Khan and Talagang respectively for Case Studies for Renewable Generation (solar only as wind seems to be un-feasible as technically it can only be applied in coastal areas) for Agri pumps as no Agroprocessing industry likewise sugar mill found available in the remote area within area of jurisdiction of IESCO. The feeders selected are lengthy ones, loaded beyond 250 Amps and having 90% length with undersized conductor i.e., ACSR Rabbit having current carrying capacity 190 Amps. Area/Demography & Population - TALAGANG Tehsil Talagang lies in the west of Chakwal city at a distance of 45 km and 28 km from the Motorway Balkassar interchange. Having 23 UCs, it consists of Barani Agricultural area. Formerly it was the part of District Attock. It was included in Chakwal with the inception of Chakwal as District in The Tehsil borders with Tehsil Chakwal in east, District Mianwali in west, District Attock in north and District Khushab in south. According to 1998 census, the population of Talagang Urban is 60,573 and Talagang Rural is 400,678. The Urban area of Talagang is 64,343 Acre and rural area is 675,633 Acre. Total area of Talagang is 330 Sq. Km. There are 85 villages and 10 Rakhs. 4 The following are the demographic details of Tehsil Talagang according to DCR 1998: Tehsil Area (sq.km.) Both Sexes Male Female Sex Ratio Population density/sq. km. Urban proportion Avg. HH size Population Avg. annual growth rate (%) Talagang 2, , , , , Source: District Census Report 1998, Population Census Organization, Statistics Division, Government of Pakistan, Islamabad. 4 Flood Plan District Chakwal 6-23 June 2016

178 Demand For Distributed Renewable Generation Number of Union Councils Population (Thousand Persons) As per 1998 Census Estimated as on Urban Population (%) Total Urban Rural Total Urban Rural Total Urban Rural Basic Social Infrastructure: As regards to social infrastructure, there are 503 Schools, 3 Colleges, 1 Hospital, 4 Police stations, 34 Post Offices and 33 Banks. 5 Tehsil Primary /Middle /high /higher secondary School College Hospital Police station Railway stations Post office Talagang Banks Talagang is a tehsil headquarter and by virtue of this it is like small reasonably development town. Some construction activities for commercial and residential purposes are also going on in the tehsil Area/Demography & Population - PIND DADAN KHAN This area has been giving huge revenues to the government through its natural resources such as salt, marble and minerals. The Pind Dadan Khan Tehsil has an area of 1267 sq km. Population Forecast ( ) Year Population 18,766 22,079 24,798 27,852 31,282 Basic Social Infrastructure: Hospitals: The Tehsil Headquarter Hospital (also known as Civil Hospital) is located along Hospital Road, which is an off-shoot of Jhelum Road. Besides, the town has also some private hospitals, mainly towards the northern direction. Schools There are two degree colleges, one for males and the other for females. The Boys Degree College is located on the Khewra Road towards north of the town. The Women Degree College is however located in the southern direction, near the old tehsil office. The town has three High Schools, one for boys and two for girls. These schools are located near the main residential area of the old city. The primary schools are generally scattered throughout town. A number of private schools have sprung up, particularly towards northern direction. 5 Punjab Development Statistics 2011 / Respective District Offices June 2016

179 Demand For Distributed Renewable Generation Parks Pind Dadan Khan is highly deficient in parks and open spaces. At present only three open spaces exist in the eastern part of the town near the main drain. Although the Tehsil Municipal Administration have some proposals for the development of parks / playgrounds but their financial resources are not allowing them to proceed. Economic Conditions and Activities: This town has not grown economically. The reason is its strategic location. Mostly towns grow because of inflow of rural population in its vicinity. Most of the towns in Punjab grew as Mandi Towns, as the agrarian economy led the mobility of masses in terms of means of earning, education and health. In case of PD Khan there are no villages, the land is not fertile and means of earning is limited. Even today most of the people earn as small vendors, shopkeepers, etc. This is the reason for having limited demand for higher order level of services and land uses to be flourished in the town as there was limited demand for it. As being the less developed area, the housing conditions in town is shabby and deteriorated. Mostly houses are single story with the narrow streets and poor infrastructure facilities. Many of the new health and education facilities and public buildings have been developed in the northern zone, towards north of Pind Dadan Khan Jhelum Road. Most of the future growth is thus likely to take place in that direction. The Technical Data Technical data pertaining to all out going feeders from these grids are provided at Tables 6-12 & 6-13, while year wise units received and receivables (PKR in Million) are provided in Annexure - XLIV in VOL 3 of 3, These data has been collected from IESCO related sections i.e P&E, Customer services, computer center, PDC and GSO formations. Load Curves Based on Peak Demand Typical daily load curves for the period in respect of inspected 11 KV feeders and those emanating from 132 KV Talagang and Pinanwal Grid Stations are shown at Figures 6-9 to 6-21 The Aggregate potential demand of Districts Jehlum and Chakwal as both selected 132 KV Pinanwal and Talagang Grid Stations are located within the proximity of these District respectively is at Table 6-10 and June 2016

180 Demand For Distributed Renewable Generation Table 6-10:, Generation and Demand Forecast For District: CHAKWAL Distribution Transmission Load Sale Generation Year Losses Losses Factor Peak Demand G.R % (%) % (%) -14 1, , , , , , , , , , , , , , , , , , , , , , Ave. Growth (-2024) 6.23% 6.27% 6.47% Source: Power Market Survey IESCO (-2024) 6-26 June 2016

181 Demand For Distributed Renewable Generation Table 6-11:, Generation and Demand Forecast For District: JHELUM Distribution Transmission Load Sale Generation Year Losses Losses Factor Peak Demand G.R % (%) (%) (%) -14 1, , , , , , , , , , , , , , , , , , , , , , Ave. Growth (-2024) 3.29% 3.27% 3.41% Source: Power Market Survey IESCO (-2024) 6-27 June 2016

182 Demand For Distributed Renewable Generation Field Inspection The consultant detailed its inspecting team for selection of sites in consultation with Key Stakeholders ( in this case IESCO's concerned Operation Divisions heads and SDOs of Talagang and Pind Dadan Khan Divisions). The inspecting team consisting of Two Engineers, inspected on dated 28th October, 2015 Talagang area and visited 04 No of Agri pumps with assistance of SDOs concerned and their related field staff. The data collected from sites on 11 KV Jhatla, Bilalabad and Kot Sarang feeders with regards to capacity of motors at site and actually connected load by applying Clip-on meter to have first-hand information i.e. Phase wise load. Accordingly site specific demand as worked out by taking into account the average value of current. The site specific pro forma was filled in for all the inspected sites accordingly are attached at Annexure-XIV; VOL 2 of 3. It is concluded from this exercise that the load of Agri Tubewell varies in between HP or KW. A 25 Hp Tube well at Dhok Shatal, Talagang is shown in Figure 6-7 Figure 6-7: 25 Hp Tube well at Dhok Shatal, Talagang Similar type inspection process was exercised in Pind Dadan Khan Divisions remote area dominated with Agri tubewells where about 8 sites were checked with the assistance of concerned SDOs and their field staff. The inputs on the prescribed format for these inspected sites are placed at Annexure-XIV; VOL 2 of 3 and as per assessment, the average motor capacity installed is about HP or KW. As per ground verification, the bio-data of agri consumers in the area of Talagang and Pind Dadan Khan is indicated in Tables 6-14 & 6-15 whereas single line diagrams of related feeders are attached at Annexure-XV; VOL 2 of 3. It is worth to mention here that no agro-processing industries are available in that remote area of the district. As a matter of fact any type of industry cannot be developed/ 6-28 June 2016

183 Demand For Distributed Renewable Generation established in such a remote area. For any kind industry, irrespective of its size that essential infrastructure like the most important infrastructure is the availability or reasonably good quality road to have easy access to market which is not available in most of the rural area of Pakistan. Therefore the team had to concentrate on available tube wells. A photograph showing measuring of load at Dharyala Jalip, Pind Dadan Khan is shown in Figure 6-8. Figure 6-8: Measuring Load at Dharyala Jalip, Pind Dadan Khan Current Tariff Current tariff applied in respect of IESCO and issued vide Ministry of W&P notification no. SRO/569(1)/2015 applicable w.e.f and monthly billing of Agri consumers of Talagang and Pind Dadan Khan are given in Tables 6-12 & June 2016

184 Demand For Distributed Renewable Generation Name of Grid Station (132 KV) Pinanwal Talagang Power T/F Capacity (MVA) Max: Load in Amps T-2 (10/13) T-3 (10/13) T-4 (20/26) Name of Outgoing 11 KV Maximum load Recorded (Amp) Table 6-12: 132 KV Talagang and Pinanwal Grid Stations for Specific Site Maxi: Recorded Overall (Amp) Maxi: Recorded (Date & Time) (Amp) Length with Reference to Size of Conductor (KM) Osprey Dog Rabbit Gopher Total C.W.O Maj Riaz Rawal Sagarpur T/Gang Cit Jhatla Dharabi Kot Sarang Mian Bazar Mogla Not installed Bilabad Malikwal Not installed /6/ /7/ /8/ /7/ /7/ /6/ /7/ /7/ /6/ /6/ /9/ Category Wise Consumer Statistics (Feeder Wise) and connected Load No. Comm: Ind: T/Well Others Load (KW) No. Load (KW) No. Load (KW) No. Load (KW) Total Numbers & Connected Load , , , ,132 1, No. 10, , , , , ,328 Load (KW) 11, , , , , , ,549 8, , , , , ,795 11, , , , , ,233 5,870 DK Pathan N/I /18/ ,496 11, June 2016

185 Demand For Distributed Renewable Generation Table 6-13: 132 KV Talagang and Pinanwal Grid Stations for Specific Site Name of Grid Station (132 KV) Pinanwal Talagang Power T/F Capac ity (MVA) Max: Load in Amps Name of Outgoing 11 KV Year Wise Received Year Wise Receiv able Endin g June 2015 (P In M) %age Losses Techn ical (- 15) Adminis trative (- 15) % age Losses As Per Output No. of Distribution wise Transformers Capacity Wise (KVA) T-2 C.W.O (10/13) Maj Riaz ,100 T-3 (10/13) Rawal ,900 Sagarpur ,050 T/Gang Cit ,850 T-4 Jhatla (20/26) Dharabi Kot Sarang Mian Bazar Mogla ,900 Bilabad ,97 5 1,67 5 2,47 5 2,62 5 3,150 2,600 3,250 3,850 2,50 0 4,20 0 2,80 0 1,30 0 1,70 0 1,70 0 1,50 0 1,30 0 2,30 0 1,80 0 1, ,975 Total KVA Connected 1, ,275 1, ,900 1, , ,025 1, ,175 1, ,425 1, ,525 1, , ,875 Malikwal ,625 DK Pathan ,22 5 2, , June 2016

186 1:00 2:00 3:00 4:00 0:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 0:00 Power MW Demand For Distributed Renewable Generation Figure 6-9: Typical Daily Peak Load Curve of City, TALAGANG TALAGANG 132 Kv Load Profile-City Time Note: Non-appearance of bars during the hours in 24 hours a day indicates scheduled load management / load shedding measures, sequentially load becomes zero for a specific time span Time 1:00 2:00 3:00 4:00 0:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 Load P.F Bus Voltage MW Time 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 0:00 Load P.F Bus Voltage MW June 2016

187 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 0:00 Power MW Demand For Distributed Renewable Generation Figure 6-10: Typical Daily Peak Load Curve of JHATLA, TALAGANG TALAGANG 132 Kv Load Profile-Jhatla Time Note: Non-appearance of bars during the hours in 24 hours a day indicates scheduled load management / load shedding measures, sequentially load becomes zero for a specific time span Time 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 Load P.F Bus Voltage MW Time 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 0:00 Load P.F Bus Voltage MW June 2016

188 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 0:00 Power MW Demand For Distributed Renewable Generation Figure 6-11: Typical Daily Peak Load Curve of DHARABI, TALAGANG TALAGANG 132 Kv Load Profile-Dharabi Time Note: Non-appearance of bars during the hours in 24 hours a day indicates scheduled load managment / load shedding measures, sequenttialy load becomes zero Time 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 Load P.F Bus Voltage MW Time 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 0:00 Load P.F Bus Voltage MW June 2016

189 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 0:00 Power MW Demand For Distributed Renewable Generation Figure 6-12: Typical Daily Peak Load Curve of KOT SARANG, TALAGANG 6.00 TALAGANG 132 Kv Load Profile-Kot Sarang Time Note: Non-appearance of bars during the hours in 24 hours a day indicates scheduled load management / load shedding measures, sequentially load becomes zero for a specific time span Time 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 Load P.F Bus Voltage MW Time 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 0:00 Load P.F Bus Voltage MW June 2016

190 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 0:00 Power MW Demand For Distributed Renewable Generation Figure 6-13: Typical Daily Peak Load Curve of MAIN BAZAR, TALAGANG TALAGANG 132 Kv Load Profile-Main Bazar Time Note: Non-appearance of bars during the hours in 24 hours a day indicates scheduled load management / load shedding measures, sequentially load becomes zero for a specific time span Time 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 Load P.F Bus Voltage MW Time 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 0:00 Load P.F Bus Voltage MW June 2016

191 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 0:00 Power MW Demand For Distributed Renewable Generation Figure 6-14: Typical Daily Peak Load Curve of MOGLA, TALAGANG TALAGANG 132 Kv Load Profile-Mogla Time Note: Non-appearance of bars during the hours in 24 hours a day indicates scheduled load management / load shedding measures, sequentially load becomes zero for a specific time span Time 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 load P.F Bus Voltage MW Time 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 0:00 load P.F Bus Voltage MW June 2016

192 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 0:00 Power MW Demand For Distributed Renewable Generation Figure 6-15: Typical Daily Peak Load Curve of BILALABAD, TALAGANG TALAGANG 13Kv Load Profile-Bilalabad Time Note: Non-appearance of bars during the hours in 24 hours a day indicates scheduled load management / Time 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 Load P.F Bus Voltage MW Time 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 0:00 Load P.F Bus Voltage MW June 2016

193 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 0:00 Ppower MW Demand For Distributed Renewable Generation Figure 6-16: Typical Daily Peak Load Curve of MALIKWAL, TALAGANG TALAGANG 132 Kv Load Profile-Malikwal Time Note: Non-appearance of bars during the hours in 24 hours a day indicates scheduled load management / load shedding measures, sequentially load becomes zero for a specific time span Time 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 Load P.F Bus Voltage MW Time 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 0:00 Load P.F Bus Voltage MW June 2016

194 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 0:00 Power MW Demand For Distributed Renewable Generation Figure 6-17: Typical Daily Peak Load Curve of DHOK PATHAN, TALAGANG 2.50 TALAGANG 132 Kv Load Profile-Dk-Pathan Time Note: Non-appearance of bars during the hours in 24 hours a day indicates scheduled load management / load shedding measures, sequentially load becomes zero for a specific time span Time 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 Load P.F Bus Voltage MW Time 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 0:00 Load P.F Bus Voltage MW June 2016

195 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 0:00 Power MW Demand For Distributed Renewable Generation Figure 6-18: Typical Daily Peak Load Curve of CWO, TALAGANG Pinanwal 132 Kv Load Profile-C.W.O Time Note: Non-appearance of bars during the hours in 24 hours a day indicates scheduled load management / load shedding measures, sequentially load becomes zero for a specific time span Time 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 Load P.F Bus Voltage MW Time 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 0:00 Load P.F Bus Voltage MW June 2016

196 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 0:00 Power MW Demand For Distributed Renewable Generation Figure 6-19: Typical Daily Peak Load Curve of Major Riaz, PINANWAL 6.00 Pinanwal 132 Kv Load Profile-Maj.Riaz Time Note: Non-appearance of bars during the hours in 24 hours a day indicates scheduled load management / load shedding measures, sequentially load becomes zero for a specific time span Time 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 Load P.F Bus Voltage MW Time 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 0:00 Load P.F Bus Voltage MW June 2016

197 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 0:00 Power MW Demand For Distributed Renewable Generation Figure 6-20: Typical Daily Peak Load Curve of Rawal, PINANWAL Pinanwal 132 Kv Load Profile-Rawal Time Note: Non-appearance of bars during the hours in 24 hours a day indicates scheduled load management / load shedding measures, sequentially load becomes zero for a specific time span Time 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 Load P.F Bus Voltage MW Time 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 0:00 Load P.F Bus Voltage MW June 2016

198 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 0:00 Power MW Demand For Distributed Renewable Generation Figure 6-21: Typical Daily Peak Load Curve of SAGAR PUR, PINANWAL 7.00 Pinanwal 132 Kv Load Profile-S.Pur Time Note: Non-appearance of bars during the hours in 24 hours a day indicates scheduled load management / load shedding measures, sequentially load becomes zero for a specific time span Time 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 Load P.F Bus Voltage MW Time 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 0:00 Load P.F Bus Voltage MW June 2016

199 Demand For Distributed Renewable Generation Name of consumer & Location Amir Mehmood Malik s/o Bashir Ahmed Gul Khan s/o Haider Khan Haji Wali s/o Jawan Khan Mehboob Jalani S/O Fateh Sher Name of consumer & Location Table 6-14: Bio-Data of Consumers- TALAGANG Area Load in KW Electricity bill per Annum Tariff Applied Sanction Load As per site verification Oct - Sept 2015 ( In PKR) D2(I)TOD 74, D2(I)TOD 37, D(2)-I 28, D(2)-I 79,102 Table 6-15: Bio Data of Consumers PIND DADAN KHAN Area Load in KW As per site Sanction Load verification Tariff Applied Electricity bill per Annum Oct - Sept 2015 ( In PKR) Abdullah Khan D2(I)TOD 34,116 Chairman CBO D-1(TOD) 150,545 Chairman User Committee Chairman Water Supply Scheme 15 Not In working Condition D-1(TOD) 8, D-1(TOD) 102,436 Khizar Hayat D2(I)TOD 61,030 Mohammad Ashraf D2(I)TOD 48,194 Raja Aamir Nawaz D2(I)TOD 144,930 Raja Mehmood Akhtar D2(I)TOD 97,131 Raja Muhammad Anwar D2(I)TOD 28,668 Coordinates N 32 53'15.5" E '25.0" N 32 56'28.4" E '20.8" N 32 55'49.35" E '6.07" N 32 56'41.39" E '29.38" Coordinates N 32 39' 40.0'' E ' 21.30'' N 32 36' 46.2'' E ' 18.20'' N 32 37' 03.5'' E ' 14.70'' N 32 37' 11.8'' E ' 14.90'' N 32 39' 32.7'' E ' 54.0'' N 32 39' 32.5'' E ' 52.0'' N 32 37' 11.8'' E ' 13.9'' N 32 39' 10.7'' E ' 16.1'' N 32 39' 23.9' E ' 37.0'' 6-45 June 2016

200 Demand For Distributed Renewable Generation Economic Growth & Development Plans in Remote Area Punjab province is the largest one of country and is having visible potential both in agri and industrial fields. The infrastructure is strong as compared to other provinces, it is thickly populated, and approach roads to big cities are well defined. Fundamental facilities likewise basic health units, educational institutions, clean drinking water, mobile communication network, and transport, primary, middle and secondary high schools are even available in rural/remote areas. Still government of Punjab is keen to look after to further improve the infrastructure in rural areas and has planned to spend billions of rupees for approach roads and clean drinking water etc. The process of local elections has recently been accomplished to elect local representatives on grass root level. These representatives are in a better position to plan public facilitations through schemes and completion thereafter meaningfully. Plan for economic development is made at Federal as well as Provincial level. The plan at Provincial level is developed by taking in to account the development priorities of the provincial government. At present agri sector is on the priority list of the Government of the Punjab. Accordingly fruits of economic growth at provincial level will have to reach every district of the province. As far as specific planning of the individual districts and localized area is concerned, this can be done by local representative for whom elections had been held recently. It will take some to the elected representatives to come with development of their area of jurisdiction. However, it is safe to conclude that there will be substantial development at least at district level. Least Cost Analysis Power supply of those remote areas can be improved by adopting following measures: By installing backup generators By refurbishment of the system by implementing Loss Reduction program and By installing renewable energy like solar system The above are discussed in the subsequent sections of the report. Backup Generator Cost Backup generator could be provided to individual agri pumps owners as provision of generators to a cluster of farmers/pumps may not be advisable as there could be ownership issues leading to maintenance and operations problem. Accordingly backup Generator cost estimates of Petrol / Gas generators having capacity of 10, 12 and 15 KW are provided as under by taking latest costs of Generators and monthly operating & maintenance cost (four (4) hours running 6-46 June 2016

201 Demand For Distributed Renewable Generation per day) being less than 20 KW, (as 20 KW & above generators are diesel operated) can be operated/ driven on petrol or gas. The cost of 10 KW, 12 KW & 15 KW generating units is given in Table 6-16 Table 6-16: The Cost of 10 KW, 12 KW & 15 KW Generating Units Description 1. Fuji/Siemens/cammins Denial generating set ( Dual Petrol/Gas) including generator room, foundations, battery, cables, changeover etc., 2. Monthly operating & maintenance cost Capacity with cost in PKR 10 KW 12 KW 15 KW 600,000/- 750,000/- 900,000/- a Consumption of Petrol ( Ltr/hr) b Monthly consumption by taking into account 4 hrs per day c Monthly cost of PKR 77/- per Ltrs 32,340 36,960 46,200 d Monthly consumption of mobile oil (Ltrs) e Cost of mobile PKR 282/- per Ltr 1,700 1,700 1,700 f Cost of fuel/oil/air filter ( L/s) 2,500 3,000 3,000 g Cost of monthly maintenance ( labor charges) L/s 3,000 3,000 3,000 Subtotal ( 2c, d(i) e and f) 39,530 44,650 53,890 Grand Total (1 + 2g) 639, Approx. 640, , ,000 Estimation of Supplying Solar Installation Brief on Solar : Solar Power Tube well Projects for Irrigation in Pakistan In the prevailing situation of shortage in Pakistan, deliberate power blackout and high rate of electricity billing in frequent load shedding, has become hardly affordable from Households to National Exchequer and from Small Business to Heavy Industry. Whereas imperfect employments of skilled work force even the Engineers, in economic fields, is one of disguised reasons of losing the economic development. Approx.4.1 M jobs and employment opportunities have been lost since 2008 due to Power shortfall which usually remains between 4000 to 6000 Mw per day. In the existing aggravated energy situation in Pakistan, working in anyway, forth is economic sector; nationally has become an imperative upon every patriot. The Business Recorder of July 23, quoted the PM, Nawaz Sharif saying that the is a National issue and everybody must contribute to make the Government energy policy, a real success. It has therefore become important to think over as to how the crisis is coped with. The present Government since responding to the issue more seriously has come up with policy approved by the Committee of Common Interest (CCI) since Figure 6-22 shows a Solar system 6-47 June 2016

202 Demand For Distributed Renewable Generation Figure 6-22: Solar Systems Development Solar energy has been a source of power for civilizations. The world at the latest has engineered scientific applications to harness this vast ocean of solar energy, may be called the Celebration of Abundance. The Solar energy setups in Pakistan are committed to relieve the consumers from electricity load shadings, high cost electricity billing, fuel run Generators and frequent maintenance of supply systems. The consumers have already been supplied with AC Equipment, Solar Grid Hybrid Solutions are proposed both for the residential and commercial premises with inverter for converting DC output to existing AC equipment. The solar energy generated is stored in batteries of varied power. The System has the ability to store and transmit power generated from the solar photovoltaic cells. These micro level operations can substitute or augment economic power resource to deliver uninterrupted supplies in urban household commercial and industrial society. Likewise the developed projects to convert irrigation tube wells and waterworks to solar power will eliminate hour s long frequent power failures in agriculture rural sectors where the cultivator can build sufficient water reservoirs right during broad day light. Social & Economic Benefits By adopting a solar powered pumping irrigation system, a Tube well unit can avail provision of 14,600 K watts of electricity annually in its 25 years of life time i.e. the ROI of 15.6 % per annum. Green and pollution free solar pumping technologies can save energy and reduce 6-48 June 2016

203 Demand For Distributed Renewable Generation greenhouse gases emission. The system can save standard coal up to Tons, reduce omission of CO² 60.4 Tons, SO² 2.75 Tons, Smoke 2.06 Tons and Lime ash 85.7 Tons. Whereas the solar power applications replace the traditional power systems; Diesel etc. power generation and other traditional irrigation models. Then the Government will save the cost of power grid construction, farmers do not pay the electricity bills, do not run to procure diesel and do not need to maintain the solar system at an externally payable high cost. In the national Budget , the Federal Government has provided PKR 600 Bln to enhance Growth and Development in the Agriculture sector. In the same row, any markup on solar power pumps installations shall also be afforded by the national exchequer. In this way, Government is all out to support farmers to enhance agricultural production, efficiency and reduction of financial burden on farmers so as to improve the local farmers life. We can say that the Solar Power Tube wells for irrigation Project s are going to be rigorously promo ted in private and public sectors in Pakistan. Introduction of Solar Pumping Systems: The sustainable solar power gives the pumping system lots of advantages: work at Sunrise and stop at the sunset guard free, fossil energy free and city grid free. The system works independently and provides a safe and reliable performance. The solar pumping system can work with the drip irrigation, sprinkling irrigation, infiltrating irrigation systems to solve the farmland irrigation problem. This can help improve the output of the farmland and save the water and energy which means less cost of the traditional fuel and electric power. Therefore this is the most effective way the use the clean energy instead of fossil fuel. The new application which fits the national resource saving, environment friendly, low-carbon and energy saving development strategy is the solution of global food and energy issue. Figure 6-23 shows the basics of solar energy system Figure 6-23: Basic System of Solar Systems 6-49 June 2016

204 Demand For Distributed Renewable Generation Pump: Any three -phase pump is suitable for solar AC pumping system, pump powered by solar cell arrays draws water from the deep wells or rivers and lakes and pours into the storage tank or reservoir, or directly connects the irrigation system, fountain system, etc. According to the actual system demand and installation condition, different types of pumps such as centrifugal pump, axial flow pump, mixed flow pump or deep well pump can be used. Figure 6-24 solar water pump working schematic diagram Figure 6-24: Solar Water Pump Working Schematic Diagram Solar pumps, solar panels inverter/controller and their calculation are given in the Table Sr # Water pump output Table 6-17: Solar Power Water Pumps Prices Calculator Water level 20ft to 30 ft Water level 30ft to 40ft Water level 40ft to 50ft 1 2 inch 3hp 5.5hp 7.5hp 7.5hp 2 3 inch 5.5hp 7.5hp 10hp 10hp 3 4 inch 7.5hp 10hp 15hp inch 10hp 15hp inch 15hp Sr # Solar Water Pump Solar Panels Calculation Water Water level 20ft Water level 30ft pump to 30 ft to 40 ft output Water level 40ft to 50ft Water level 50ft to 60ft Water level 50 ft to 60 ft 1 2 inch 5Kw to 5.5Kw 7Kw to 7.5 Kw 9Kw to 9.5Kw 10Kw to 10.5Kw 2 3 inch 7Kw to 7.5Kw 9Kw to 9.5Kw 11Kw to 11.5Kw 12Kw to 12.5Kw 3 4 inch 9Kw to 9.5 Kw 11Kw to 11.5Kw 13Kw to 13.5Kw 6-50 June 2016