TY - JOUR
T1 - 4E multi-objective optimization of cold electricity co-generation system based on supercritical CO2 Brayton cycle
AU - Wang, Yiming
AU - Xie, Gongnan
N1 - Publisher Copyright:
© 2023 Elsevier Ltd
PY - 2023/5/1
Y1 - 2023/5/1
N2 - Reheat Brayton cycle has advantages of compact layout and high efficiency, and heat recovery from cooler in Brayton cycle by ammonia absorption refrigeration cycle can achieve efficient cold electricity co-generation. In this paper, evaluation models based on energy, exergy, economy and environment (4E) are established and multi-objective optimization are carried out for combined cycle. The reliability and accuracy of TOPSIS, MO and LINMAP decision methods are analyzed. Cycle performance, economy and environment benefits are compared and analyzed under two refrigeration conditions before and after optimization. Temperature difference distribution of printed circuit heat exchanger under different cycle layouts is analyzed. The results show that TOPSIS and LINMAP are reliable, and MO is not suitable for selection of optimum points in Pareto diagram; after optimization, economic and environment costs of top cycle are reduced by 11.21% and 6.68%, refrigeration capacity of bottom cycle under two refrigeration conditions is improved by 28.75% and 15.46%, and economic costs are reduced by 28.3% and 3.7%; for combined cycle, thermal efficiency is increased by 1.11% on average, total investment cost is reduced by 16.21% on average, overall performance of combined cycle is significantly improved; compared with basic and reheat cycle before optimization, temperature difference in high temperature section of recuperator is significantly reduced in reheat Brayton cycle after optimization, which is good for reducing exergy loss and heat stress, helping to match high temperature and pressure environment of top cycle; temperature difference in low temperature section of subcooler is increased in bottom cycle after optimization, which helps to reduce heat exchanger volume and improve compactness.
AB - Reheat Brayton cycle has advantages of compact layout and high efficiency, and heat recovery from cooler in Brayton cycle by ammonia absorption refrigeration cycle can achieve efficient cold electricity co-generation. In this paper, evaluation models based on energy, exergy, economy and environment (4E) are established and multi-objective optimization are carried out for combined cycle. The reliability and accuracy of TOPSIS, MO and LINMAP decision methods are analyzed. Cycle performance, economy and environment benefits are compared and analyzed under two refrigeration conditions before and after optimization. Temperature difference distribution of printed circuit heat exchanger under different cycle layouts is analyzed. The results show that TOPSIS and LINMAP are reliable, and MO is not suitable for selection of optimum points in Pareto diagram; after optimization, economic and environment costs of top cycle are reduced by 11.21% and 6.68%, refrigeration capacity of bottom cycle under two refrigeration conditions is improved by 28.75% and 15.46%, and economic costs are reduced by 28.3% and 3.7%; for combined cycle, thermal efficiency is increased by 1.11% on average, total investment cost is reduced by 16.21% on average, overall performance of combined cycle is significantly improved; compared with basic and reheat cycle before optimization, temperature difference in high temperature section of recuperator is significantly reduced in reheat Brayton cycle after optimization, which is good for reducing exergy loss and heat stress, helping to match high temperature and pressure environment of top cycle; temperature difference in low temperature section of subcooler is increased in bottom cycle after optimization, which helps to reduce heat exchanger volume and improve compactness.
KW - Cold-electricity cogeneration
KW - Decision method
KW - Economy and environment
KW - Multi-objective optimization
KW - Printed circuit heat exchanger
UR - http://www.scopus.com/inward/record.url?scp=85151234042&partnerID=8YFLogxK
U2 - 10.1016/j.enconman.2023.116952
DO - 10.1016/j.enconman.2023.116952
M3 - 文章
AN - SCOPUS:85151234042
SN - 0196-8904
VL - 283
JO - Energy Conversion and Management
JF - Energy Conversion and Management
M1 - 116952
ER -