Performance analysis, multiobjective optimization and working fluid selection for a DPORC system with geothermal source shunting

被引:1
|
作者
Yang, Xinle [1 ]
Yan, Zhenchao [1 ]
Bu, Shujuan [1 ]
Li, Weikang [1 ]
Su, Chang [1 ]
Wang, Xin [1 ]
Liu, Xunan [1 ]
Yu, Ning [1 ]
Wang, Guanyu [1 ]
机构
[1] Liaoning Tech Univ, Sch Mech Engn, Fuxin 123000, Peoples R China
关键词
DPORC system; Geothermal source shunting; Performance analyses; Multiobjective optimization; Working fluid selection; EW-GRA-TOPSIS comprehensive evaluation method; ORGANIC RANKINE-CYCLE; PRESSURE; DESIGN; TEMPERATURE; PARAMETERS; SINGLE;
D O I
10.1016/j.tsep.2023.102267
中图分类号
O414.1 [热力学];
学科分类号
摘要
A dual-pressure ORC system with geothermal source shunting (GSS-DPORC) is proposed. The geothermal source at the outlet of the high-pressure evaporator is shunted so that one portion of it heats the high-pressure preheater and the other portion heats the low-pressure evaporator. Thermodynamic, economic, and environmental performance of the GSS-DPORC system are examined and contrasted with those of the DPORC system under different working fluids and conditions. Further, the EW-GRA-TOPSIS comprehensive evaluation method, which picks the optimal working fluid while attaining the best working conditions, is proposed. It fully assesses the working fluid based on the multiobjective optimization results generated by NSGA-II. The results indicate that the performance metrics of the GSS-DPORC system are superior to those of the DPORC system when the geothermal source inlet temperature is in the range of 373-423 K, the evaporation pressure of high-pressure stage ranges from 740 kPa to 1610 kPa, and the evaporation pressure of low-pressure stage ranges from 540 kPa to 1020 kPa. R227ea has better thermodynamic and economic performance, and R245fa has better economic performance. The R227ea has the best overall performance following a thorough review using the EW-GRATOPSIS method, while the R245fa has the poorest performance.
引用
收藏
页数:15
相关论文
共 50 条
  • [1] A comparative performance analysis, working fluid selection, and machine learning optimization of ORC systems driven by geothermal energy
    Chitgar, Nazanin
    Hemmati, Arman
    Sadrzadeh, Mohtada
    ENERGY CONVERSION AND MANAGEMENT, 2023, 286
  • [2] Performance analysis and working fluid selection of an Organic Rankine Cycle Power Plant coupled to an Enhanced Geothermal System
    Zinsalo, Joel M.
    Lamarche, Louis
    Raymond, Jasmin
    ENERGY, 2022, 245
  • [3] Performance analysis and binary working fluid selection of combined flash-binary geothermal cycle
    Zeyghami, Mehdi
    ENERGY, 2015, 88 : 765 - 774
  • [4] Working Fluid Selection and Technoeconomic Optimization of a Turbocompression Cooling System
    Young, Derek
    Gibson, Spencer C.
    Bandhauer, Todd M.
    JOURNAL OF THERMAL SCIENCE AND ENGINEERING APPLICATIONS, 2018, 10 (06)
  • [5] "3E" Analysis and Working Fluid Selection for a Cogeneration System for Geothermal Large Temperature Difference Utilization
    Yin, Jiahui
    Zhu, Bing
    Zhang, Yiming
    Huang, Jinsen
    ACS OMEGA, 2024, 9 (14): : 16221 - 16236
  • [6] Performance of enhanced geothermal system (EGS) in fractured geothermal reservoirs with CO2 as working fluid
    Guo, Tiankui
    Gong, Facheng
    Wang, Xiaozhi
    Lin, Qiang
    Qu, Zhanqing
    Zhang, Wei
    APPLIED THERMAL ENGINEERING, 2019, 152 : 215 - 230
  • [7] Performance analysis and working fluid selection for geothermal energy-powered organic Rankine-vapor compression air conditioning
    Bu X.
    Wang L.
    Li H.
    Geothermal Energy, 1 (1)
  • [8] Performance Analysis and Optimization of Vapour Absorption Refrigeration System Using Different Working Fluid Pairs
    Kalura, Paras
    Kashyap, Susheem
    Sharma, Vishal
    Raghav, Geetanjali
    Kalra, Jasmeet
    HARMONY SEARCH AND NATURE INSPIRED OPTIMIZATION ALGORITHMS, 2019, 741 : 527 - 537
  • [9] Working fluid selection and performance analysis for subcritical organic Rankine cycles
    Shalby, Mohammad
    Marachli, Abdullah
    Salah, Ahmad A.
    RESULTS IN ENGINEERING, 2025, 25
  • [10] Performance analysis and working fluid selection for ejector. refrigeration cycle
    Saleh, B.
    APPLIED THERMAL ENGINEERING, 2016, 107 : 114 - 124