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Performance analysis and working fluid selection of organic Rankine cycle system with variable temperature heat source based on NSGA-II algorithm
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Xinling MA, Yuheng QIU, Xiangrui MENG, Jiahao PAN, Shuangquan WANG
Thermal Power Generation | 2023, 52(4) : 82 - 89
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Thermal Power Generation | 2023, 52(4): 82-89
• Thermal energy and science research •
Performance analysis and working fluid selection of organic Rankine cycle system with variable temperature heat source based on NSGA-II algorithm
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Xinling MA, Yuheng QIU, Xiangrui MENG, Jiahao PAN, Shuangquan WANG
Affiliations
  • School of Mechanical and Power Engineering, Zhengzhou University, Zhengzhou 450001, China
Published: 2023-04-25 doi: 10.19666/j.rlfd.202208168
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A mathematical model of subcritical organic Rankine cycle (ORC) system is established for the flue gas waste heat of 120~150 ℃. Firstly, the thermal performance and economic performance of the system are analyzed at different heat source temperatures by taking R245fa as an example. Then, a multi-objective optimization study is conducted for six pure working fluids based on NSGA-Ⅱ algorithm. At last, working fluid selection and performance analysis of the ORC system with various heat source temperatures are carried out by TOPSIS method and gray correlation analysis. The results show that, in the temperature range of this study, the increase of superheat degree and evaporator pinch point temperature difference is not conducive to improve the system performance. The optimal working fluids are varied at different heat source temperatures, when the heat source temperature is 120 ℃, R601 has the best thermal performance, R245fa has the best economic performance and R1233zd has the best overall performance. The increase of heat source temperature is beneficial to improve the economic performance of the system. The optimal evaporation temperature of each working fluid increases with the heat source temperature. The gray correlation analysis indicates that the comprehensive performance of all six working fluids improves with the heat source temperature.

organic Rankine cycle  /  waste heat recovery  /  thermodynamic analysis  /  NSGA-II algorithm  /  multi-objective optimization
Xinling MA, Yuheng QIU, Xiangrui MENG, Jiahao PAN, Shuangquan WANG. Performance analysis and working fluid selection of organic Rankine cycle system with variable temperature heat source based on NSGA-II algorithm[J]. Thermal Power Generation, 2023 , 52 (4) : 82 -89 . DOI: 10.19666/j.rlfd.202208168
Funding
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  • Key Scientific Research Project of Colleges and Universities of Henan Province(19A480005)
Appendix
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Year 2023 volume 52 Issue 4
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doi: 10.19666/j.rlfd.202208168
  • Receive Date：2022-08-07
  • Online Date：2026-01-23
  • Published：2023-04-25
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  • Received：2022-08-07
Funding
Key Scientific Research Project of Colleges and Universities of Henan Province(19A480005)
Affiliations
    School of Mechanical and Power Engineering, Zhengzhou University, Zhengzhou 450001, China
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https://castjournals.cast.org.cn/joweb/rlfd/EN/10.19666/j.rlfd.202208168
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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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