MA Xinling, QIU Yuheng, MENG Xiangrui, et al. 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:
MA Xinling, QIU Yuheng, MENG Xiangrui, et al. 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.
Performance analysis and working fluid selection of organic Rankine cycle system with variable temperature heat source based on NSGA-Ⅱ algorithm
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 ℃
R601has 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.
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