Smart Water. Water Networks Management Optimization. Energy Efficiency, WaterDay Greece, Dr. Andreas Pirsing VSS Water&Wastewater

Transcription

1 Water Networks Management Optimization. Energy Efficiency, WaterDay Greece, 2014 Smart Water Dr. Andreas Pirsing VSS Water&Wastewater siemens.com/answers

2 What is needed to operate Water Supply System in the Best Way? High Reliability Uninterrupted water supply 24/7 (!) Smart Water brings Decision Support Systems Low Energy Consumption due to most economical pump schedules and high portion of revenue water SCADA/PLC Protected Environment due to reduced carbon footprint Instrumentation Ensured water quality Optimized maintenance due to asset management and detecting of unusual process states

3 What is needed? A real Example Facts and Figures Capacity: 90 million m³/ year, in Germany s TOP10 water supply companies Network length: 600 km Central SCADA system with approx. 140 substation Which pumps should be used? What is the best reservoir level? When shall I switch on/off a pump? Do I have leakages?

4 On the Way to Smart Water Systems Automation is the backbone of Active Leak Control Service Office Internet/Intranet Engineering Station ES OS Clients / / OPC-Server O&M Terminal Bus Ethernet Industrial Ethernet / System Bus PROFIBUS-DP PROFIBUS- PA PROFIBUS-DP PROFIBUS-PA SCADA/PLC Instrumentation

5 On the Way to Smart Water Systems Automation is the backbone of Active Leak Control Service Office Water Management SIWA Internet/Intranet Engineering Station ES OS Clients / / OPC-Server O&M Terminal Bus Ethernet Industrial Ethernet / System Bus Results PROFIBUS-DP PROFIBUS- PA PROFIBUS-DP PROFIBUS-PA Decision Support Systems SCADA/PLC Instrumentation

6 Smart SEWER Stormwater Management Water Loss Management OPTIM Pump Scheduling SIMATIC SCADA Other Functions SECURE Homeland Security CONCEPT OTS Simulation LEAK Leak Monitoring SIWA is a Water Decision Support System, based on installed automation system, that helps the water utility to increase the operational performance in regards of cost efficiency, availability, resilience,. Optimization SIWA SEWER Stormwater management system in sewer networks Optimization of pump schedules in water pipelines and networks Simulation SIWA CONCEPTS/OTS Hydraulic simulation, validation of operational concepts and scenarios, operator training SIWA SECURE Monitoring, analysis and control of media flow and water quality, decision support in emergency cases Water Loss Management SIWA LEAK/SIWA Leak detection & localization in pipelines and water distribution networks

7 SIWA Modules in Detail Energy Efficiency by Pump Scheduling: SIWA OPTIM Strategic Objective: Reliable water supply, uninterrupted operation Objective and Task Results: Optimal schedules (switching points) for pumps SIWA OPTIM Software package Solution Overview Offline as well as online applicable operational decision support system Calculation of the most economical pump, reservoir, well, and delivery schedules Utilizes methods of mathematical optimization calculation, taking into account all relevant technological restrictions Strategic Objective: Reduced costs for water distribution and production Results: Optimal schedules for water treatment plants Strategic Objective: Optimized usage of natural water resources Quick and easy adaptation of plant modifications due to componentoriented engineering approach

8 SIWA OPTIM Easy-to-Use User Interface: Plant Overview Area East Area South Area North

9 SIWA OPTIM Easy-to-Use User Interface: Device Specific Faceplates Area North

10 SIWA OPTIM Easy-to-Use User Interface: Device Specific Faceplates Pump Schedule for a pumping station with 2 pumps On/off modus of pumps can be forced manually by the operator, shown as light green or white bars Switching points for pumps, resulting running hours are shown as green bars Reservoir Schedule Upper/lower reservoir level can be changed manually by the operator Calculated reservoir level shown as blue line (must be between upper/lower limits Further faceplates for valves, waterworks, energy consumption,

11 SIWA Modules in Detail Customer Benefits: SIWA OPTIM Customer Benefits Reduced energy costs and water purchasing/production costs Increased reliability of water supply due to automatically calculated schedules Optimal planning of maintenance activities Increased water quality due to detection of abnormal process states Conservation of water recourses Efficient and resilient water supply

12 Smart Water Not all water leaks are as easy as this to find! Source:

13 Smart Water Active Leak Control Challenge Solution Approach Active Leak Control Sustainable reduction of water losses by permanent monitoring and detection of new and existing leakages LeakVolume = Time(A+L+R) x Flowrate A: Awareness, L: Localization, R: Repair Priority on reduction of leaking period Water loss volume = Leakage rate (in m 3 /d or l/h) x duration (in d or h) per leakage (DVGW W392) About 90% of water loss caused by small leakages

14 SIWA Modules in Detail Reduction of Water Losses due to Permanent Network Monitoring Strategic Objective: Reliable water supply, reduction of water losses Objective and Task Results: Pipelines: Segments with leakages, size of leakages SIWA Solution Overview Software package based on SIMATIC Permanent leakage detection for distribution networks Utilizes statistical methods following IWA methodology Strategic Objective: Reduced costs for water distribution and production Results: Networks: District Metering Areas (DMA) with leakages Strategic Objective: Optimized usage of natural water resources SIWA LEAK Software package based on SIMATIC Permanent leakage detection and location in pipelines Utilizes physical models, like mass balance and pressure calculation

15 SIWA LEAK Easy-to-Use User Interface: Plant Overview and Faceplate

16 SIWA IWA Methodology and Infrastructure Leakage Index (ILI) Objective and Task Infrastructure Leakage Index ILI DMA with sub DMA ILI 1 2 Technical performance category A Further loss reduction may be uneconomic unless there are shortages; careful analysis needed to identify cost effective improvement 2 4 B Potential for improvements; consider pressure management; better active leakage control practices, and better network maintenance 4 8 C Poor leakage record; tolerable only if water is plentiful and cheap; even then, analyze level and nature of leakage and intensify leakage reduction efforts Bulk/flow meter Supply zone > 8 D Horrendously inefficient use of resources; leakage reduction programs imperative and high priority

17 SIWA Easy-to-install Flow Metering Station SIWA Leak Control Measuring unit consists of: Clamp-on ultrasonic flow meter Line entry incl. battery pack & charg.unit PLC GSM/GPRS modem to transmit the data

18 Life Cycle of a Water Loss Management Project 4 Phase Approach OPEX phase CAPEX phase Visualization of ALC results in SCADA Permanent Active Leakage Control (ALC) by DMA monitoring Start of operation Phase 4: Commissioning Start of permanent ALC Phase 3: Implementation Installation of Active Leakage Control (ALC) Phase 2: Detailed Network Analysis Hydraulic model, calibration with field data Phase 1: Feasibility Study evaluation of leakage level (water balance) Pressure Management Water Loss Management Permanent leakage detection using SIWA software Network lifecycle Location of DMA s with leakages Repair of identified leakages, reduction of water losses Pipe Asset Management Phase 1: Feasibility Study Data Collection, evaluation of leakage level (water balance), analysis of pressure mgt. cooperation w consultants recommended Phase 2: Detailed Network Analysis Hydraulic model, calibration with field data cooperation w water utility recommended, use of existing hydraulic models Phase 3: Implementation Planning/creation of DMA s, installation of Active Leakage Control SIWA, incl. add. Sensors cooperation w solution partners recommended Phase 4: Commissioning Start of permanent ALC SIWA

19 Life Cycle of a Water Loss Management Project Water Audit: IWA Systematic Authorized Consumption Billed Autherized Consumption Unbilled Authorized Consumption Billed Metered Consumption Billed Unmetered Consumption Unbilled Metered Consumption Unbilled Unmetered Consumption Revenue Water System Input Volume Apparent (commercial) Losses Unauthorized Consumption Customer Meter Inaccuracies and Data Handling Errors Non-Revenue Water (NRW) Water Losses Real (physical) Losses Leakage on Transmission and Distribution Mains Leakage and Overflows at Storage Tanks Leakage on Service Connections up to point of Customer Meter

20 Life Cycle of a Water Loss Management Project Water Audit: Results from a Real Project System Input Volume (100%) Authorized Consumption (46%) Water Losses (54%) Billed Authorized Consumption (45%) Unbilled Authorized Consumption 7 (1%) Apparent (commercial) Losses (12%) Real (physical) Losses (42%) Billed Metered Consumption, (45%) Billed Unmetered Consumption, 0% Unbilled Metered Consumption, 0% Unbilled Unmetered Consumption, 7 (1%) Unauthorized Consumption, (10%) Customer Meter Inaccuracies and Data Handling Errors, 511 (2%) Leakage on Transmission and Distribution Mains Leakage and Overflows at Storage Tanks Leakage on Service Connections up to point of Customer Meter Revenue Water (45%) Non-Revenue Water (NRW) (55%) Source: City of Sandakan, Malaysia

21 SIWA Modules in Detail Customer Benefits: SIWA LEAK and SIWA Customer benefit Minimized water losses due to reduced leakage time Increased reliability of water supply due to reduced water losses (NRW: non revenue water) Reduced energy costs and increased revenue due to reduced water losses Increased water quality due to reduced contamination Reduced costs due to avoidance of collateral damages (e.g. at building ground works) Increased resource efficiency Resilient water supply

22 SIWA OPTIM Reference Fernwasserversorgung Elbaue-Ostharz (Germany) Facts and Figures Capacity: 90 million m³/ year, in Germany s TOP10 water supply companies Network length: 600 km Central SCADA system with approx. 140 substation Challenges Cost pressure due to decreasing water demand Siemens Solutions Optimization study using SIWA OPTIM: Data survey, data validation Calculation of several scenarios Report Performance based proposal Customer Benefits Reduced operational costs at high reliability of supply, cost savings estim. of EUR/year Protection/documentation of the knowledge Evaluation of planning/action alternatives

23 SIWA LEAK Reference Eastern Province Water Transmission System (Saudi Arabia) Facts and Figures Capacity: m³/d Length: 110 km Pipeline DN1200 Challenges Identification of leakages < 3% of nominal flow Leakage Detection System (LDS) using the existing instrumentation and communication Siemens Solutions Leakage detection system using SIWA LEAK: Data survey, data validation Engineering, commissioning Installation of SIMATIC PCS 7, incl. instrumentation and communication Customer Benefits High operational- and supply safety through automatic detection and localization of leakages Reduction of the operational costs through reduced losses of water caused by leakages

24 Water Management System SIWA Current Activities RC Project name LEA LEC CON SEC SEW OPT Status Description GER Erftverband, KA Kenten II 3 AUS South East Water MUNLV project project, follow-up of phase I Further R&D partners: PFI, FiW, SEW interested in strategic partnership to develop IT solutions KSA SWCC, WTS EPWTS 4 Enhancement of existing installation KSA SWCC, WTS Shuqaiq 4 UAE TRANSCO, WTS Fujairah II 4 Enhancement of existing installation UAE TRANSCO, Al Ain 4 GER SW Zwickau 2 RBSwave preparing hydraulic study MAY Syabas 1 BRA CASAEB 1 CAN Montreal 1 Customer is interested to use installed RTU system for leckage detection GER RWW 2 R&D pilot ( ), to be continued (BMBF project)

25 The Future WaterCockpit Not yet available as product Objective and Task Solution Overview WaterCockpit is a holistic management information system, that also offers simulation and forecast options for specific and relevant topics Management information - Specific KPI - Specific KPI charts Analysis - Trend analysis - Prognosis - Statistical correlations Easy-to-use (Web) user interface Multi criterial decision support Risk management

26 Current R&D Project in Cooperation with 9 partners e.g. ICCS (Inst. Communication and Computer Systems, Greece) DMS DSS Message Bus Gateway Layer Water Cockpit SCADA Devices (partly smart, partly conventional, partly controllable) ICeWater Project (Call FP7-ICT ) ICT-enabled solutions for integrated water resources management (IWRM) Industry Specific Objectives Demand Management System (DMS) Decision Support Systems - Pump scheduling (DSS1) - Dynamic pricing (DSS2) Asset Management (ASM) - Leakage detection/location - Prediction of deterioration Piloting at two customer sides ICT Specific Objectives Internet of Things to allow flexible integration of smart components Service Oriented Architecture (SOA) Sensing Actuation/Sensing Holistic Water Management System based on innovative ICT architecture

27 Current R&D Project in Cooperation with 9 partners Pilot Installation at Metropolitana Milanese (City of Milan)

28 SIWA is a Decision Support System that helps Water Utilities to reach their Operation Goals Uninterrupted Water Supply Most economical pump scheduling, energy bill can be reduced by up to 10% Reduced energy load peaks Reduced energy consumption Reduced water losses Increased Portion of Revenue Water Increased income from revenue water, reduced Non Revenue Water (NRW) Detection of abnormal process states, operation in preventive mode Easy-to-use operator interface with the same look&feel like the SCADA Reduced contamination in the pipes Comprehensive reporting meets governmental regulatory requirements Easy to adapt to network changes Reduced Carbon Footprint Ensured Water Quality Optimized Maintenance

29 Thank for your attention! siemens.com/answers Dr. Andreas Pirsing Technical Support&Concepts PD PA AE WWW Phone: +49/ siemens.com/answers