TY - GEN
T1 - Multi-objective optimization and integration of double effect absorption refrigeration system (DEARS) into Kamojang power plant (PP) to improve plant performance
AU - Wibowo, Agung Satrio
AU - Kurniawan, Nanang
AU - Nasruddin, null
AU - Surachman, Arief
N1 - Publisher Copyright:
© 2018 Author(s).
PY - 2018/7/13
Y1 - 2018/7/13
N2 - Compared with the single effect, the double effect absorption refrigeration system can take advantage of the higher availability (exergy) of high-temperature heat sources to achieve the higher coefficient of performance (COP). This study proposed DEARS as integrated cooling system improve power plant performance. The heat used for ARS heat demand comes from abandoned well. Absorption will be employed to produce a lower temperature of cooling water from the cooling tower and then pass it on the power plant's condenser. A combined exergy and economic analysis of the modeled system is conducted to calculate exergy efficiency and total annual cost of the system. By linking MATLAB with EES properties database, a multi-objective optimization model is formulated using the genetic algorithm to maximize the first objective and minimize the second objective. The temperature of generator, absorber, condenser, evaporator, temperature delta of cooling water of absorption system and throttle valve pressure of power plant are used as decision variables. The results show that the by integration of DEARS, cooling water temperature reduced up to 20°C from 26°C which give an additional power output of 1.5MW. From the optimization, results show that exergy efficiency increases with total annual cost. Finally, the optimum value for each decision variables areare obtained, which is P-throttle valve = 824.38 kPa, dt-cooling water = 3.12°C, T-evaporator = 7.6°C, T-desorber = 120.08°C, T-condenser = 44.9°C, T-absorber = 33.79°C.
AB - Compared with the single effect, the double effect absorption refrigeration system can take advantage of the higher availability (exergy) of high-temperature heat sources to achieve the higher coefficient of performance (COP). This study proposed DEARS as integrated cooling system improve power plant performance. The heat used for ARS heat demand comes from abandoned well. Absorption will be employed to produce a lower temperature of cooling water from the cooling tower and then pass it on the power plant's condenser. A combined exergy and economic analysis of the modeled system is conducted to calculate exergy efficiency and total annual cost of the system. By linking MATLAB with EES properties database, a multi-objective optimization model is formulated using the genetic algorithm to maximize the first objective and minimize the second objective. The temperature of generator, absorber, condenser, evaporator, temperature delta of cooling water of absorption system and throttle valve pressure of power plant are used as decision variables. The results show that the by integration of DEARS, cooling water temperature reduced up to 20°C from 26°C which give an additional power output of 1.5MW. From the optimization, results show that exergy efficiency increases with total annual cost. Finally, the optimum value for each decision variables areare obtained, which is P-throttle valve = 824.38 kPa, dt-cooling water = 3.12°C, T-evaporator = 7.6°C, T-desorber = 120.08°C, T-condenser = 44.9°C, T-absorber = 33.79°C.
UR - http://www.scopus.com/inward/record.url?scp=85050500140&partnerID=8YFLogxK
U2 - 10.1063/1.5046226
DO - 10.1063/1.5046226
M3 - Conference contribution
AN - SCOPUS:85050500140
T3 - AIP Conference Proceedings
BT - Disruptive Innovation in Mechanical Engineering for Industry Competitiveness
A2 - Djanali, Vivien S.
A2 - Suwarno, null
A2 - Pramujati, Bambang
A2 - Yartys, Volodymyr A.
PB - American Institute of Physics Inc.
T2 - 3rd International Conference on Mechanical Engineering, ICOME 2017
Y2 - 5 October 2017 through 6 October 2017
ER -