Energy Optimization Modeling of Geothermal Power Plant (Case Study: Darajat Geothermal

Similar documents
Performance Improvement of Single-Flash Geothermal Power Plant Applying Three Cases Development Scenarios Using Thermodynamic Methods

Decline Curve Analysis for Production Forecast and Optimization of Liquid-Dominated Geothermal Reservoir

Geothermal Power Plant

ME ENGINEERING THERMODYNAMICS UNIT III QUESTION BANK SVCET

IOP Conference Series: Earth and Environmental Science PAPER OPEN ACCESS

CHAPTER 1 BASIC CONCEPTS

Developing Choices for Optimal Binary Power Plants in the Existing Geothermal Production Areas in Indonesia

CHAPTER 5 MASS AND ENERGY ANALYSIS OF CONTROL VOLUMES

Analysis of carbon dioxide emission of gas fuelled cogeneration plant

a. The power required to drive the compressor; b. The inlet and output pipe cross-sectional area. [Ans: kw, m 2 ] [3.34, R. K.

Utilizing Vertical Discharge Tests as an Effective Means for Well Decision Making at the Darajat Geothermal Field, Indonesia

- 2 - SME Q1. (a) Briefly explain how the following methods used in a gas-turbine power plant increase the thermal efficiency:

Exergoeconomic analysis and optimization of a combined double flash binary cycle for Ulubelu geothermal power plant in Indonesia

R13. II B. Tech I Semester Regular/Supplementary Examinations, Oct/Nov THERMODYNAMICS (Com. to ME, AE, AME) Time: 3 hours Max.

PARAMETRIC STUDY OF GAS TURBINE CYCLE COUPLED WITH VAPOR COMPRESSION REFRIGERATION CYCLE FOR INTAKE AIR COOLING

Lecture No.1. Vapour Power Cycles

Chapter 5 MASS AND ENERGY ANALYSIS OF CONTROL VOLUMES

Permanent City Research Online URL:

2. The data at inlet and exit of the turbine, running under steady flow, is given below.

Lecture No.3. The Ideal Reheat Rankine Cycle

Geothermal Steam Turbines for Various Purposes

Evaluation of the Impact of Off-Design Operation on an Air-Cooled Binary Power Plant. G. L. Mines. September 22, 2002 September 25, 2002

Thermodynamic Analysis of Geothermal Power Generation Combined Flash System with Binary Cycle

Chapter 5 MASS AND ENERGY ANALYSIS OF CONTROL VOLUMES

OPTIMIZATION OF PARAMETERS FOR HEAT RECOVERY STEAM GENERATOR (HRSG) IN COMBINED CYCLE PLANTS

Energy and exergy analysis of dry-steam geothermal power plant: Case study in kamojang geothermal power plant unit 2

20/06/2011 Seminar on Geothermal Exploitation Santiago de Chile

Chapter 1 STEAM CYCLES

AREN 2110: Thermodynamics Spring 2010 Homework 7: Due Friday, March 12, 6 PM

Chapter 5 MASS AND ENERGY ANALYSIS OF CONTROL VOLUMES

OUTCOME 2 TUTORIAL 2 STEADY FLOW PLANT

ME 215. Mass and Energy Analysis of Control Volumes CH-6 ÇANKAYA UNIVERSITY. Mechanical Engineering Department. Open Systems-Control Volumes (CV)

FEE, CTU in Prague Power Engineering 2 (BE5B15EN2) Exercise 3

Thermodynamic evaluation of Denizli Kızıldere geothermal power plant and its performance improvement

EXTRA CREDIT OPPORTUNITY: Due end of day, Thursday, Dec. 14

Chapter 9: Vapor Power Systems

CONTROL VOLUME ANALYSIS USING ENERGY. By Ertanto Vetra

An assessment of renewable energy generation in a conventional steam power plant with geothermal feedwater preheating

Thermodynamics: An Engineering Approach, 6 th Edition Yunus A. Cengel, Michael A. Boles McGraw-Hill, 2008

Chapters 5, 6, and 7. Use T 0 = 20 C and p 0 = 100 kpa and constant specific heats unless otherwise noted. Note also that 1 bar = 100 kpa.

Exergetic Sensitivity Analysis of ORC Geothermal Power Plant Considering Ambient Temperature

Problems in chapter 9 CB Thermodynamics

Practice Final Exam (A) Six problems. (Open-book, HW solutions, and notes) (Plus /minus 10 % error acceptable for all numerical answers)

Code No: RR Set No. 1

Electrical Energy Production from the Waste Heat Released the Gas Turbine Beaings Cooled with Oil using the Organic Rankine Cycle

ENERGY AND EXERGY ANALYSIS OF HEAT PUMP USING R744/R32 REFRIGERANT MIXTURE

Eng Thermodynamics I: Sample Final Exam Questions 1

MODELING THERMODYNAMIC ANALYSIS AND SIMULATION OF ORGANIC RANKINE CYCLE USING GEOTHERMAL ENERGY AS HEAT SOURCE

semester + ME6404 THERMAL ENGINEERING UNIT III NOZZLES, TURBINES & STEAM POWER CYCLES UNIT-III

Thermodynamics: Homework A Set 3 Jennifer West (2004)

CERTIFICATES OF COMPETENCY IN THE MERCHANT NAVY MARINE ENGINEER OFFICER

Second Law Analysis of a Carbon Dioxide Transcritical Power System in Low-grade Heat Source Recovery

Steam compression with inner evaporative spray cooling: a case study

HW-1: Due Tuesday 13 Jun 2017 by 2:00:00 pm EDT to Your Division s GradeScope Site

Multi-Variable Optimisation Of Wet Vapour Organic Rankine Cycles With Twin-Screw Expanders

MODELLING AND OPTIMIZATION OF POSSIBLE BOTTOMING UNITS FOR GENERAL SINGLE FLASH GEOTHERMAL POWER PLANTS

COOLING TOWER DESIGN FOR CENTRAL GENERATORS OF CUET, BANGLADESH. Mohammad Sharif Khan, Golam Mainuddin, Abu Sadat Mohammad Sayem, Nadeem Nafis

ANALYSIS OF DIFFERENT TYPES OF REGULATION AND ITS EFFICIENCY IN STEAM POWER CYCLES MASTER THESIS

Numerical Simulation for Natural State of Two- Phase Liquid Dominated Geothermal Reservoir with Steam Cap Underlying Brine Reservoir

Eng Thermodynamics I - Examples 1

Feedwater Heaters (FWH)

International Journal of Advance Engineering and Research Development

UNIVERSITY OF TORONTO FACULTY OF APPLIED SCIENCE AND ENGINEERING FINAL EXAMINATION, DECEMBER 2008 MIE 411H1 F - THERMAL ENERGY CONVERSION

Design and Optimization of Kalina Cycle for Geothermal Energy in Kenya

Eng Thermodynamics I - Examples 1

OPTIMIZATION OF THE TRIPLE-PRESSURE COMBINED CYCLE POWER PLANT. Muammer ALUS and Milan V. PETROVI] *

CHAPTER 1 BASIC CONCEPTS THEORY

PAPER-I (Conventional)

Lecture 8. Design of cooling systems for effluent temperature reduction. L08-1 Energy System Design Update

S.Y. Diploma : Sem. III [PG/PT/ME] Thermal Engineering

Thermodynamic Analysis of Organic Rankine Cycle using Different Working Fluids

Optimization of parameters for heat recovery steam generator (HRSG) in combined cycle power plants

Low-Grade Waste Heat Recovery for Power Production using an Absorption-Rankine Cycle

Turboden, a Presentation of Recent Worldwide Developments and the Latest Technical Solutions for Large-Scale Geothermal ORC Power-Plants

COMPARATIVE ANALYSES OF TWO IMPROVED CO 2 COMBINED COOLING, HEATING, AND POWER SYSTEMS DRIVEN BY SOLAR ENERGY

University of Strathclyde Faculty of Engineering

ISOBUTANE GEOTHERMAL BINARY CYCLE SENSITIVITY ANALYSIS

Energy And Exergy Analysis Of Fully Condensing Steam Turbine At Various Steam Load Condition

K.S. Rawat 1, H. Khulve 2, A.K. Pratihar 3 1,3 Department of Mechanical Engineering, GBPUAT, Pantnagar , India

The Benefit of Variable-Speed Turbine Operation for Low Temperature Thermal Energy Power Recovery

S.E. (Mechanical) (First Semester) EXAMINATION, 2012 APPLIED THERMODYNAMICS (2008 PATTERN) Time : Three Hours Maximum Marks : 100

PERFORMANCE CORRELATIONS FOR COUNTERFLOW COOLING TOWER

15 th NATIONAL CERTIFICATION EXAMINATION FOR ENERGY AUDITORS August, 2014

Analysis of the Thermal Exploitation of the Vinasse from Sugarcane Ethanol Production through Different Configurations of an Organic Rankine Cycle

ERT 318/4 UNIT OPERATIONS SEMESTER 1 (2013/2014)

Field Performance Evaluation of the Largest Geothermal Organic Rankine Cycle Plant

Review Questions for the FE Examination

Chapter 1 Basic Concepts

Thermal performance of a closed wet cooling tower for chilled ceilings: measurement and CFD simulation

PERFORMANCE ANALYZING OF AN ORGANIC RANKINE CYCLE UNDER DIFFERENT AMBIENT CONDITIONS

SIMULATION AND PERFORMANCE ANALYSIS OF THE NEW GEOTHERMAL CO-GENERATION POWER PLANT (OV-5) AT SVARTSENGI

Improvement of distillation column efficiency by integration with organic Rankine power generation cycle. Introduction

SIMPACK - MODEL DEVELOPMENT PACKAGE FOR POWER PLANTS

UNCERTAINTY ON PERFORMANCE MEASUREMENT OF S-CO 2 COMPRESSOR OPERATING NEAR THE CRITICAL POINT

Available online at ScienceDirect. Energy Procedia 110 (2017 )

OPTIMIZATION OF ELECTRICAL POWER PRODUCTION FROM HIGH-TEMPERATURE GEOTHERMAL FIELDS WITH RESPECT TO SILICA SCALING PROBLEMS

Energy Conversion and Management

Comparative assessment of refrigerants and non refrigerants as working fluids for a low temperature Organic Rankine Cycle

HW-1: Due Friday 25 August 2017 by 4:30:00 pm EDT To Your Division s GradeScope Site

Organic Rankine Cycle Configurations

Transcription:

Home Search Collections Journals About Contact us My IOPscience Energy Optimization Modeling of Geothermal Power Plant (Case Study: Darajat Geothermal Field Unit III) This content has been downloaded from IOPscience. Please scroll down to see the full text. 016 IOP Conf. Ser.: Earth Environ. Sci. 4 01017 (http://iopscience.iop.org/1755-1315/4/1/01017) View the table of contents for this issue, or go to the journal homepage for more Download details: IP Address: 19.30.84.73 This content was downloaded on 0/11/016 at 0:34 Please note that terms and conditions apply. You may also be interested in: Phenomenology of neutrino oscillations at the neutrino factory Jian Tang Best voltage bias-flipping strategy towards maximum piezoelectric power generation Junrui Liang and Henry Shu-Hung Chung Optimization performance of a CO pulsed tuneable laser J H F Ribeiro and R F M Lobo Atomic screening factors and perturbation theory J Killingbeck Branching transition of a directed polymer in random medium G. Sartoni and A. L. Stella Adaptive learning algorithms for vibration energy harvesting John K Ward and Sam Behrens

Energy Optimization Modeling of Geothermal Power Plant (Case Study: Darajat Geothermal Field Unit III) R H M Sinaga 1 and P S Darmanto 1 Engineering Management Study Program, Del Institute of Technology, Laguboti, Toba Samosir 381, Indonesia Mechanical Engineering Study Program, Bandung Institute of Technology, Bandung 4013, Indonesia E-mail: rizal.sinaga@del.ac.id Abstract. Darajat unit III geothermal power plant is developed by PT. Chevron Geothermal Indonesia (CGI). The plant capacity is 11 MW and load 110%. The greatest utilization power is consumed by Hot Well Pump (HWP) and Cooling Tower Fan (CTF). Reducing the utility power can be attempted by utilizing the wet bulb temperature fluctuation. In this study, a modelling process is developed by using Engineering Equation Solver (EES) software version 9.430.The possibility of energy saving is indicated by Specific Steam Consumption (SSC) net in relation to wet bulb temperature fluctuation from 9C up to 0.5C. Result shows that the existing daily operation reaches its optimum condition. The installation of Variable Frequency Drive (VFD) could be applied to optimize both utility power of HWP and CTF. The highest gain is obtained by VFD HWP installation as much as 0.80% when wet bulb temperature 18.5. 1. Introduction Darajat geothermal power plant is located in West Java, Garut residence, about 35 km southeast from Bandung on 1750-000 masl. Darajat unit III was operated in July 007 for capacity 110 MWe. Since 009, it has been uprated up to capacity 11 MW, load 110%. There are other geothermal power plants near Darajat Geothermal, those are Kamojang and Wayang Windu plants. Kamojang is located 9 km northeast from Darajat. Meanwhile Wayang Windu about 10 km west from Darajat[8]. Initial design of geothermal power plant was started by choosing suitable thermodynamics cycle, preparing power plant modeling, and then determination of technical specification of every equipment using a simulation. It aims to optimize the net output of a power plant by setting up the thermodynamics parameters[7]. During its operation, power plant systems should be analysed both for full and partial load. Partial load operation is conducted to determine power plant system condition during maintenance of some equipment without shutting down the power plant[9]. A Simulator is required to make decisions for such condition. This study aims to optimize the overall plant efficiency of Darajat Unit III plant through modeling and simulating the wet bulb temperature fluctuation with particular attention to the refrigeration system. The modeling is validated by Process Flow Diagram (PFD) Darajat Unit III load 110 % (11 MW) for 1% NCG percentage, atmosphere pressure 0.8 bar, wet and dry bulb temperature 15.5 and 1.77, respectively, and relative humidity of 55 %. Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. Published under licence by Ltd 1

. Basic Theory 1.1. Heat and Mass Balance Power plant facility is analysed based on heat and mass balance. There are some assumptions for analysing heat and mass balance[4]: a. Fluid flows independent on time (steady state) b. No heat transfer from/to every facility c. No work produced/consumed, except turbine and pump d. Kinetic and potential is ignored since enthalpy is far higher than those kinds of energy. Heat and mass balance is analysed based on the following equations, [6] : dmcv m i m e dt inlet exit (1) de dt Where: cv v i v e Q cv Wcv i h i gzi m e h e gz () e i e Q = Heat transfer to or from system (kw) W = Work produced or consumed by facility(kw) m =mass rate(kg/s) h =enthalpy specific (kj/kg) v =fluid velocity( m s) g =gravitation constant( m s ) z = high level(m) 1.. Energy Conversion System Darajat plant energy conversion system is displayed by figure 1. Point 1 shows fluid outflow from well head which has steam quality 99.98%. Then, fluid flows in to steam scrubber and produces dry steam to be expanded in to turbine. Meanwhile brine flows out from steam scrubber (point 3) to cooling tower before injected into the reservoir. Figure 1 illustrates simple scheme Darajat unit III process flow[1]. Figure shows T-s diagram of Darajat unit III process flow. A complete Process Flow Diagram (PFD) of Darajat unit III is shown in figure 3. Figure 1. Simple Process Flow Scheme of Darajat Unit III

Figure. T-s Diagram of Darajat Unit III Based on figure, steam mass flow rate in to turbine is expressed as m s, = x 1 m s,1. The isentropic process of turbine results s = s 4,s.. Turbine outlet steam quality (point 4s) is calculated based on equation (3): s4s s5 x4s (3) s6 s5 Then, fluid enthalpy at point 4s is: h4 x h 1 x h (4) s 4s 6 4s 5 Thus, turbine output is calculated by equation (5) W x h (5) Turbine efficiency is : t 1 s,1 h4 4s h h4 t (6) h h Based on PFD, inlet turbine pressure (point ) is 16.83 Bar where saturation temperature, both steam and NCG enthalpy are T = 03.9, h s, =795 kj, andh kg NCG, =159.7 kj, respectively. Turbine kg isentropic process results s = s 6 =6.40 kj. Therefore, enthalpy at point 6 as function of both entropy kg K and pressure, h s,6 =011 kj. Turbine isentropic efficiency is 8.5%, therefore steam enthalpy at point kg 6 is hs, h6 turbine hs, h6s (7) Electricity power is calculated by m h h s,3 mix, mix,6 (8) generator W 1000 Generator effciency is 98%, thus gross electricity power is W gross =11 MW. 3

Figure 3. Process Flow Diagram (PFD) of Darajat Unit III 4

3. Power Plant Modeling Some main facilities are modelled by heat and mass balances are shown below [4]: 3.1. Main Condenser System Main condenser scheme is illustrated by figure 4. Mass balance of steam and water, NCG, and air are shown through equation 9, 10, and 11, respectively. m s,6 w,13 w,14 w,15 w,0 w,7 w,39 s,7 w,16 (9) m NCG,6 NCG,7 (10) m a, 46 a,0 a,7 (11) Meanwhile, energy balance is shown below m h h m s,6 w,7 h w,7 NCG,6 camp,6 w,39 h w,39 w,13 Figure 4 Main Condenser Scheme a,46 w,13 h a,46 w,14 h w,14 w,15 h w,15 w,0 h w,0 a,0 h m s,7 NCG,7 h camp,7 a,7 ha,7 w,16 hw, 16 a,0 (1) The calculation of cooling water mass rate (m w,0 ) is determined by comparing water mass flow rate entering cooling tower with cooling air, defined as L/G [3]. It is 1.049 for wet bulb temperature 15.5C. Therefore, both condensate mass flow rate (m w,16 ) and temperature (T 16 ) can be obtained. 3.. Cooling Tower The flowing of water, air, and NCG inside cooling tower is illustrated in figure 5. 5

Figure 5. Cooling Tower Scheme Water/steam, NCG, and air mass balance is shown in equation (13), (14), and (15), respectively: m m m s, 1 s,36 s,38 w,18 w, w,19 s,30 NCG, 1 NCG,34 NCG,38 NCG,30 a, 1 a,34 a,36 a,38 a,30 (13) (14) (15) Energy balance: h a,36 h a,30 Cp 36 Cp 30 v,36 wb,36 v,30 T T wb,30 1 m a m w,18 Cp v,18 1 36 30 a T 18 w, Cp v, T m w,18, w Cpv,19 T19 As explained before that L/G is 1.049. Therefore water mass rate entering cooling tower (m w,19 ), inlet (m a,36 ) and outlet air mass rate (m a,30 ) can be obtained. 3.3. Utilities Load Some kinds of utilities load are shown below: 3.3.1. Hot Well Pump. Hot well pump is used to remove condensate water to cooling tower. The scheme of hot well pump is shown in figure 6. s,36 h s,36 (16) Figure 6 Hot Well Pump Scheme 6

Hot well pump utility power is calculated by [5]: W 3CW P001 A 1 V 16 g Head v w,16 HWP motor (17) For given data, hot well pump s power is W 3CW P 001A =1077 kw. Based on manual data, the efficiency of pump and pump motor is 84.7 % and 87.85%, respectively. The calculated head pump is 4.44 m. Meanwhile the head of pump for m w,16 calculated is 4.44 m. 3.3.. Fan Cooling Tower. There are nine existing cells inside the cooling tower. The efficiency of each fan and its motor is 76.1% and 74.5%, respectively. Fan utility power is calculated by: W fan m air,16 v fan air,36 motor p (18) Variable p defines pressure drop inside cooling tower. Total fan utility power is W fan =1666 kw. By using the similar approach, total utility power is 4310 kw. 4. Result Power plant performance is determined by Specific Steam Consumption (SSC) steam supply to produce1 kwh electricity. SSC is calculated by [9]: SSC nett W nett m 1000 3600 (19) 4.1. Variable Frequency Drive (VFD) Application Wet bulb temperature fluctuation provides a chance for power plant system optimization by using Variable Frequency Drive (VFD)[]. It is installed to hot well pump and/or cooling tower fan. 4.1.1. VFD Application for Hot Well Pump (VFD HWP). The lower wet bulb temperature, the lower exit cooling water temperature will be. Therefore cooling water mass rate in to condenser should be reduced to keep constant pressure. VFD HWP should be installed to reduce hot well pump utility power. Fluid flowing capacity in to a pump can be controlled either by an open valve or by a pump rotation[]. The difference of those methods is displayed in figure 7. Figure 7 Flowing Capacity Arrangement in A Pump by (a) Open Valve, (b) Pump Rotation Note : Percentage denotes valve opening 7

Figure 7(a) shows the increased capacity Q 1 to Q is controlled by open valve only. It yields constant utility power. Meanwhile figure 7(b) shows that increased capacity is controlled by the speed of pump rotation. This method could reduce utility power for lower capacity. The ratio between pump rotations is determined by Q Q 1 n n 1 D D 1 3 (0) Q 1 : First stage of pump capacity Q : Second stage of pump capacity n 1 : Pump speed rotation on first stage n : Pump speed rotation on second stage D 1 : Pump diameter on first stage D : Pump diameter on second stage Pump constant diameter (D 1 = D ) results eq. (1) : Q1 Therefore frequency changes as result of stator field rotation of pump motor 10 f n s P Q Where f denotes frequency of stator current. Meanwhile, P denotes the number of pole inside electric motor. Another parameter is slip. It is occurred as result of the difference of rotation motor with stator field which formulated as: ns n p Slip (3) ns Where n p denotes pump rotation (rpm) 4.1.. VFD Application for Cooling Tower Fan (VFD CTF). It is applied to maintain constant condenser pressure by the adjustment of both cooling water temperature and mass rate in relation to wet bulb temperature. The adjustment is controlled by cooling tower fan. Most of equations that are used both for VFD HWP and VFD CTF are relative same. The only difference is the reduction ratio of fan[] which is formulated as equation (4) n n 1 (1) () (4) Where R : Gearbox reduction ratio n motor : Motor fan rotation speed (rpm) n fan : Fan rotation speed (rpm) n R n motor fan 4.. Power Plant Analysis Estimation of cooling water temperature is obtained by cooling tower heat transfer theory. Both cooling water and condensate temperature, for wet bulb temperature, range from 9C to 0.5C, displayed in figure 8. It shows that the temperature difference of the two unit processes are relatively constant over the increasing wet bulb temperature since the mass rate of the cooling water is also relatively constant. 8

45 Temperature [ C] 40 35 30 5 Cooling water temperature Condensate temperature 0 8 10 1 14 16 18 0 Figure 8. Cooling Water and Condensate Temperature on Constant L/G The higher cooling water temperature, the higher condenser pressure is. The increase of condenser pressure is shown in figure 9. It displays that condenser pressure increases 3.6% in relation to the increase of wet bulb temperature from 9C up to 0.5C 0.1 Condenser Pressure [bar] 0.095 0.09 0.085 0.08 0.075 8 10 1 14 16 18 0 Figure 9. Condenser Pressure on Constant L/G The increase of condenser pressure will affect electricity generation which is displayed in figure 10. The increase of condenser pressure yields the decrease of.9% gross output power. 15 10000 Gross and Net Power [MW] 10 115 110 Gross Power Net Power Utility Power 9000 8000 7000 6000 5000 Utility Power [kw] 105 4000 8 10 1 14 16 18 0 Figure 10 Output Power Plant on Constant L/G 9

Using similar approach, SSC net increases approximately 3.19% until 3.4%, as shown in figure 11. 6.4 SSCnet [kg/kwh] 6.3 6. 6.1 6 8 10 1 14 16 18 0 Figure 11 Wet Bulb Temperature Impact to SSC Nett on Constant L/G Figure 1 shows the impact of VFD HWP to maintain condenser pressure 0.087 bar. Both cooling water and condensate temperature increase directly proportional with wet bulb temperature. The increase temperature is quite different with constant L/G. The increase of bulb temperature yields the less difference of those temperatures where caused by the amount of cooling water mass rate to maintain constant condenser pressure 0.87 bar. 45 Temperature [ C] 40 35 30 5 0 Cooling water Condensate 15 8 10 1 14 16 18 0 Figure 1 Cooling Water and Condensate Temperature on VFD Hot Well Pump Both cooling water and condensate mass rate is revealed in figure 13. Their increase are 5.9% and 45.1%, respectively. 10

Volumetric [m 3 /hour] 30000 8000 6000 4000 000 0000 18000 Cooling water (VFD HWP) Condensate (VFD HWP) Cooling water (Constant L/G) Condensate (Constant L/G) 16000 8 10 1 14 16 18 0 Figure 13 Cooling Water and Condensate Mass Rate on VFD HWP Based on HWP design, normal capacity of each pump is 11.40 m3 which provide energy saving of hour HWP utility power for a certain wet bulb temperature. Figure 14 shows that pump utility power range from 1930 kw up to 146 kw for wet bulb temperature below 15.5C. VFD HWP reduces 11.0% utility power. VFD can be applied up to wet bulb temperature 18.5 in case of the ability of HWP to operate until frequency 60 Hz. It is displayed in figure 14 by shaded region. Figure 14 Utility Power and Frequency of Hot Well Pump VFD can also be installed to cooling tower fan (CTF) electrical motor. Cooling air mass rate is adjusted to keep constant condenser pressure. It is displayed in figure 15. 11

Mass Flow Rate [kg/s] 16000 14000 1000 10000 8000 6000 Cooling Air (VFD CT Fan) Cooling Air (Constant L/G) 4000 8 10 1 14 16 18 0 Figure 15 Cooling Air Mass Rate as Wet Bulb Increase Cooling air mass rate increases 73.93% to maintain exit cooling water temperature 3.9C. Based on cooling tower design, each cell can absorb cooling air as much as 771.6 kg/s. Normal cooling air is absorbed by 8 of 9 existing cells. Figure 16 reveals fan quantities to adjust the amount of cooling air as described before. It shows that VFD CTF is applied for wet bulb below16.5 18 16 VFD CT Fan Fan Quantity 14 1 10 8 Constant L/G 6 4 8 10 1 14 16 18 0 Figure 16 Cooling Tower Fan Quantity Total fan utility power is represented in figure 17. Figure 17 Utility Power of Cooling Tower Fan 1

The possibility of energy saving of CTF is applied below wet bulb temperature 15.5C as well as VFD HWP. It reduces energy up to 37.97% when wet bulb temperature 9C. Meanwhile, VFD CTF can be applied up to wet bulb temperature 17C in case of motor fan ability to operate until 60 Hz. Both gross and net power of each scenario is represented in figure 18. It shows that both gross and net power constant L/G is higher than other VFD applications 15 1,5 Gross Power (Constant L/G) Nett Power (Constant L/G) Power [MW] 10 117,5 115 11,5 Gross Power (VFD HWP) Nett Power (VFD HWP) Gross Power (VFD CT Fan) Nett Power (VFD CT Fan) 110 8 10 1 14 16 18 0 Figure 18 Gross and Nett Power of Each Scenario SSC net of each scenario is considered to decide power plant performance. SSC net defines the amount of steam to generate 1 MWh net electricity. The less steam supply required to generate 1 MWh electricity, the more efficient the power plant is. SSC net consideration is displayed in figure 19. When the wet bulb temperature is lower than 15.5C, constant L/G SSC net is lower than others. Otherwise, when the wet bulb more than15.5c, SSC net VFD HWP is lower than constant L/G. In case of motor pump ability to operate until frequency 60 Hz, VFD HWP can be applied starts from wet bulb temperature 15.5C until 18.5C. It is shown in Figure 19. The highest gain of VFD HWP is obtained when wet bulb temperature 18.5C, about 0.80% compared to constant L/G. Figure 19 SSC Net 13

5. Conclusions and Suggestions 5.1. Conclusions Having developed and simulated some variables, some conclusions are described below: Based on consideration of wet bulb fluctuation, the existing daily operation reaches its optmimum performance. In case of motor pump ability to operate until frequency 60 Hz, VFD HWP can be applied starts from wet bulb 15.5 until 18.5. The highest gain of VFD HWP is obtained when wet bulb temperature18.5, about 0,80% compared to constant L/G. 5.. Suggestions Besides technical consideration, economical approach should be considered for power plant optimization. This study mainly focuses on simulation based on full load. Further study should elaborate partial load in order to keep better performance during maintenance. References [1] DiPippoR 007 Geothermal Power Plants : Principal, Applications, Case Studies, and Environmental Impact(Darmouth, Massachusets: Elsevier Ltd.) [] Effendi H 009Main Cooling Water System Optimization Kamojang Unit Geothermal Power Plant, PT. Indonesia Power(Bandung, ITB) pp 10-45 [3] Freeston D 1996Geothermal Technology:Teaching The Teachers - Course Stage III. pp 15-0 [4] Incropera, Frank P 008Fundamental of Heat and Mass Transfer(John Willey and Sons) [5] Maloney J O 008Perrry's Chemical Engineers' Handboook(The McGraw-Hill Companies, Inc) pp 1-30 [6] Moran M J and Shaphiro H N 000Fundamental of Engineering Thermodynamics(John Willey and Sons) Chapter 4 pp 164-09 [7] Nugroho A 011Optimization of Electrical Power Production from High-Temperature Geothermal Fields with Respect to Silica Scaling Problem(Reykjavik, Iceland: The United Nations University) pp 3-47 [8] Rejeki S, Rohrs D, Nordquist G, and Fitriyanto A 010Conceptual Model Update of the Darajat Geothermal Filed, Indonesia(Bali, Indonesia : World Geothermal Congress) pp. 1- [9] Sulistyardi H B010Basic Design of Lumut Balai x55 MW Geothermal Power Plant, Indonesia. (Geothermal Training Program, The United Nations University) pp 615-64 14