Selection of refrigerant based on multi-objective decision analysis for different waste heat recovery schemes

doi:10.1016/j.cjche.2024.09.013

中国化学工程学报 ›› 2025, Vol. 77 ›› Issue (1): 236-247.DOI: 10.1016/j.cjche.2024.09.013

Selection of refrigerant based on multi-objective decision analysis for different waste heat recovery schemes

Chengyun Li, Jiawen Yang, Li Xia, Xiaoyan Sun, Lili Wang, Chao Chen, Shuguang Xiang

College of Chemical Engineering, Qingdao University of Science and Technology, Qingdao 266042, China

收稿日期:2024-03-27 修回日期:2024-09-15 接受日期:2024-09-17 出版日期:2025-01-28 发布日期:2024-10-18
通讯作者: Lili Wang,E-mail:liliw@qust.edu.cn;Chao Chen,E-mail:chenchao929@126.com
基金资助:
This work is supported by the National Natural Science Foundation of China (22178190) and the National Youth Natural Science Foundation of China (22408195).

Selection of refrigerant based on multi-objective decision analysis for different waste heat recovery schemes

Chengyun Li, Jiawen Yang, Li Xia, Xiaoyan Sun, Lili Wang, Chao Chen, Shuguang Xiang

College of Chemical Engineering, Qingdao University of Science and Technology, Qingdao 266042, China

Received:2024-03-27 Revised:2024-09-15 Accepted:2024-09-17 Online:2025-01-28 Published:2024-10-18
Contact: Lili Wang,E-mail:liliw@qust.edu.cn;Chao Chen,E-mail:chenchao929@126.com
Supported by:
This work is supported by the National Natural Science Foundation of China (22178190) and the National Youth Natural Science Foundation of China (22408195).

摘要/Abstract

摘要： Waste heat generation, upgrading, and refrigeration are the fundamental ways to recover and utilize waste heat. Rationalizing the use of refrigerants also contributes to creating energy savings and minimizing carbon emissions. This study evaluates the thermodynamics, economics, and environment of different refrigerants in three waste heat recovery schemes: generate electricity, heat pump, and refrigeration. Based on this, the entropy weight and technique for order preference by similarity to an ideal solution are combined to assess the overall performance of the refrigerants. A thorough analysis reveals that R1234ze(E) could replace R245fa and R123 in the organic Rankine cycle. The best refrigerant for vapor compression refrigeration and high-temperature heat pump systems is R1243zf. In addition, the multi-objective decision analysis shows that the performance difference among the nine selected refrigerants is the total cost, followed by the environmental impact. The approach successfully recognizes the variations between different refrigerants in the same waste heat recovery scheme and gives a thorough evaluation. It sets instructions for the future use of eco-friendly refrigerants and their application of waste heat recovery schemes.

关键词: Waste heat recovery, Refrigerants, TOPSIS, Process systems, Economics, Environment

Abstract: Waste heat generation, upgrading, and refrigeration are the fundamental ways to recover and utilize waste heat. Rationalizing the use of refrigerants also contributes to creating energy savings and minimizing carbon emissions. This study evaluates the thermodynamics, economics, and environment of different refrigerants in three waste heat recovery schemes: generate electricity, heat pump, and refrigeration. Based on this, the entropy weight and technique for order preference by similarity to an ideal solution are combined to assess the overall performance of the refrigerants. A thorough analysis reveals that R1234ze(E) could replace R245fa and R123 in the organic Rankine cycle. The best refrigerant for vapor compression refrigeration and high-temperature heat pump systems is R1243zf. In addition, the multi-objective decision analysis shows that the performance difference among the nine selected refrigerants is the total cost, followed by the environmental impact. The approach successfully recognizes the variations between different refrigerants in the same waste heat recovery scheme and gives a thorough evaluation. It sets instructions for the future use of eco-friendly refrigerants and their application of waste heat recovery schemes.

Key words: Waste heat recovery, Refrigerants, TOPSIS, Process systems, Economics, Environment

Chengyun Li, Jiawen Yang, Li Xia, Xiaoyan Sun, Lili Wang, Chao Chen, Shuguang Xiang. Selection of refrigerant based on multi-objective decision analysis for different waste heat recovery schemes[J]. 中国化学工程学报, 2025, 77(1): 236-247.

参考文献

[1] K.R. Baca, K. Al-Barghouti, N. Wang, M.G. Bennett, L. Matamoros Valenciano, T.L. May, I.V. Xu, M. Cordry, D.M. Haggard, A.G. Haas, A. Heimann, A.N. Harders, H.G. Uhl, D.T. Melfi, A.D. Yancey, R. Kore, E.J. Maginn, A.M. Scurto, M.B. Shiflett, Ionic liquids for the separation of fluorocarbon refrigerant mixtures, Chem. Rev. 124(9) (2024) 5167-5226.
[2] N. Kumma, S.S.H. Kruthiventi, Current status of refrigerants used in domestic applications: A review, Renew. Sustain. Energy Rev. 189(2024) 114073.
[3] Y.K. Wang, Z.M. Li, Y.P. Hou, Z.M. Hao, Q. Zhang, Y.X. Ni, Y. Lu, Z.H. Yan, K. Zhang, Q. Zhao, F.J. Li, J. Chen, Emerging electrolytes with fluorinated solvents for rechargeable lithium-based batteries, Chem. Soc. Rev. 52(8) (2023) 2713-2763.
[4] X.D. Ma, Y.J. Du, T. Zhao, T.T. Zhu, B. Lei, Y.T. Wu, A comprehensive review of compression high-temperature heat pump steam system: Status and trend, Int. J. Refrig. 164(2024) 218-242.
[5] Y.M. Jiang, Y. Ma, F.H. Han, Y.L. Ji, W.J. Cai, Z. Wang, Assessment and optimization of a novel waste heat stepped utilization system integrating partial heating sCO₂ cycle and ejector refrigeration cycle using zeotropic mixtures for gas turbine, Energy 265(2023) 126326.
[6] F. Moles, J. Navarro-Esbri, B. Peris, A. Mota-Babiloni, A. Barragan-Cervera, K. Kontomaris, Thermo-economic evaluation of low global warming potential alternatives to HFC-245fa in Organic Rankine Cycles, Energy Procedia 142(2017) 1199-1205.
[7] J. Navarro-Esbri, F. Moles, B. Peris, A. Mota-Babiloni, K. Kontomaris, Experimental study of an Organic Rankine Cycle with HFO-1336mzz-Z as a low global warming potential working fluid for micro-scale low temperature applications, Energy 133(2017) 79-89.
[8] Y.T. Wu, Z.Y. Guo, B. Lei, L.L. Shen, R.P. Zhi, Internal volume ratio optimization and performance analysis for single-screw expander in small-scale middle temperature ORC system, Energy 186(2019) 115799.
[9] Z.Y. Guo, C.C. Zhang, Y.T. Wu, B. Lei, D. Yan, R.P. Zhi, L.L. Shen, Numerical optimization of intake and exhaust structure and experimental verification on single-screw expander for small-scale ORC applications, Energy 199(2020) 117478.
[10] C. Mateu-Royo, J. Navarro-Esbri, A. Mota-Babiloni, M. Amat-Albuixech, F. Moles, Theoretical evaluation of different high-temperature heat pump configurations for low-grade waste heat recovery, Int. J. Refrig. 90(2018) 229-237, https://doi.org/10.1016/j.ijrefrig.2018.04.017.
[11] A. Mota-Babiloni, C. Mateu-Royo, J. Navarro-Esbri,, F. Moles, M. Amat-Albuixech,, A. Barragan-Cervera, Optimisation of high-temperature heat pump cascades with internal heat exchangers using refrigerants with low global warming potential, Energy 165(2018) 1248-1258, https://doi.org/10.1016/j.energy.2018.09.188.
[12] C. Mateu-Royo, J. Navarro-Esbri, A. Mota-Babiloni, A. Barragan-Cervera, Theoretical performance evaluation of ejector and economizer with parallel compression configurations in high temperature heat pumps, Int. J. Refrig. 119(2020) 356-365, https://doi.org/10.1016/j.ijrefrig.2020.07.016.
[13] C. Mateu-Royo, J. Navarro-Esbri, A. Mota-Babiloni, M. Amat-Albuixech, F. Moles, Thermodynamic analysis of low GWP alternatives to HFC-245fa in high-temperature heat pumps: HCFO-1224yd (Z), HCFO-1233zd (E) and HFO-1336mzz (Z), Appl. Therm. Eng. 152762-777, https://doi.org/10.1016/j.applthermaleng.2019.02.047.
[14] B. Gil, J. Kasperski, Efficiency evaluation of the ejector cooling cycle using a new generation of HFO/HCFO refrigerant as a R134a replacement, Energies 11(2018) 2136, https://doi.org/10.3390/en11082136.
[15] X. Wang, Y. Yan, E. Wright, X. Hao, N. Gao, Prospect evaluation of low-GWP refrigerants R1233zd (E) and R1336mzz (Z) used in solar-driven ejector-vapor compression hybrid refrigeration system, J. Therm. Sci. 30(2021) 1572-1580, https://link.springer.com/article/10.1007/s11630-020-1297-z.
[16] X. Wang, R. Wu, L. Cheng, X. Zhang, X. Zhou, Suppression of propane cup-burner flame with HFO-1336mzz (Z) and its thermal stability study, Thermochim. Acta 683(2020) 178463, https://doi.org/10.1016/j.tca.2019.178463.
[17] H. You, R. Gao, P. Hu, K. Liang, X. Zhou, X. Huang, M. Pan, Sensitivity analysis of diesel particulate filters to geometric parameters during soot loading and its multi-objective optimization, Process Saf. Environ. Prot. 159(2022) 251-265, https://doi.org/10.1016/j.psep.2021.12.040.
[18] D. Tan, Y. Wu, J. Lv, J. Li, X. Ou, Y. Meng, G. Lan, Y. Chen, Z. Zhang, Performance optimization of a diesel engine fueled with hydrogen/biodiesel with water addition based on the response surface methodology, Energy 263(2023) 125869, https://doi.org/10.1016/j.energy.2022.125869.
[19] S.Baakeem, J. Orfi, A. Alabdulkarem, Optimization of a multistage vapor-compression refrigeration system for various refrigerants, Appl. Therm. Eng. 136(2018) 84-96, https://doi.org/10.1016/j.applthermaleng.2018.02.071.
[20] J. Yang, C. Li, Q. Wang, J. Zhao, L. Xia, X. Sun, L. Wang, S. Xiang, A novel mass integration cogeneration system: Working fluid selection model and multi-criteria decision analysis, Energy. 308(2024) 132989, https://doi.org/10.1016/j.energy.2024.132989.
[21] Y. Feng, T. Hung, Y. He, Q. Wang, S. Wang, B. Li, J. Lin, W. Zhang, Operation characteristic and performance comparison of organic Rankine cycle (ORC) for low-grade waste heat using R245fa, R123 and their mixtures, Energy Convers. Manag. 144(2017) 153-163, https://doi.org/10.1016/j.enconman.2017.04.048.
[22] C. Li, L. Wang, C. Chen, X. Zhang, W. Zhao, S. Xiang, Exergy, economic, and climate performance evaluation of an efficient clean cogeneration system driven by low-temperature waste-heat, J. Clean. Prod. 403(2023) 136773, https://doi.org/10.1016/j.jclepro.2023.136773.
[23] J. Yang, C. Li, P. Yu, L. Zhang, C. Chen, L. Wang, S. Xiang, 5E Analyses of the Cogeneration System Based on Mass Integration Driven by Low-Temperature Waste Heat, ACS Sustain. Chem. Eng. 11(2023) 17400-17414, https://doi.org/10.1021/acssuschemeng.3c05242.
[24] D. Wu, B. Hu, R. Wang, Vapor compression heat pumps with pure Low-GWP refrigerants, Renew. Sust. Energ. Rev. 138(2021) 110571, https://doi.org/10.1016/j.rser.2020.110571.
[25] M. White, The design and analysis of radial inflow turbines implemented within low temperature organic Rankine cycles, PhD Thesis, Diss. City University London,2015.
[26] C. Mateu-Royo, A. Mota-Babiloni, J. Navarro-Esbri, B. Peris, F. Moles, M. Amat-Albuixech, Multi-objective optimization of a novel reversible High-Temperature Heat Pump-Organic Rankine Cycle (HTHP-ORC) for industrial low-grade waste heat recovery, Energy Convers. Manag. 197(2019) 111908.
[27] R. Smith, Chemical Process: Design and Integration, John Wiley & Sons, West Sussex, United Kingdom, 2005.
[28] L. Garousi Farshi, S.M.S. Mahmoudi, M.A. Rosen, Exergoeconomic comparison of double effect and combined ejector-double effect absorption refrigeration systems, Appl. Energy 103(2013) 700-711.
[29] S. Sanaye, B. Niroomand, Thermal-economic modeling and optimization of vertical ground-coupled heat pump, Energy Convers. Manag. 50(4) (2009) 1136-1147.
[30] H. Sayyaadi, M. Nejatolahi, Multi-objective optimization of a cooling tower assisted vapor compression refrigeration system, Int. J. Refrig. 34(1) (2011) 243-256.
[31] V.K. Yadav, J. Sarkar, P. Ghosh, Thermodynamic, economic and environmental analyses of novel solar-powered ejector refrigeration systems, Energy Convers. Manag. 264(2022) 115730.
[32] R. Llopis, D. Calleja-Anta, A. Maiorino, L. Nebot-Andres, D. Sanchez, R. Cabello, TEWI analysis of a stand-alone refrigeration system using low-GWP fluids with leakage ratio consideration, Int. J. Refrig. 118(2020) 279-289.
[33] A. Mota-Babiloni, J.R. Barbosa, P. Makhnatch, J.A. Lozano, Assessment of the utilization of equivalent warming impact metrics in refrigeration, air conditioning and heat pump systems, Renew. Sustain. Energy Rev. 129(2020) 109929.
[34] G. Tzeng, J. Huang, Multiple attribute decision making: Methods and applications, CRC press, Boca Raton, FL,USA, 2011.
[35] Y.X. Zhu, D.Z. Tian, F. Yan, Effectiveness of entropy weight method in decision-making, Math. Probl. Eng. 2020(2020) 3564835.
[36] C. Arpagaus, F. Bless, M. Uhlmann, J. Schiffmann, S.S. Bertsch, High temperature heat pumps: Market overview, state of the art, research status, refrigerants, and application potentials, Energy 152(2018) 985-1010.
[37] S.H. Shah, K.R. Pai, S.R. Shinde, B.N. Thorat, Analysis of a vapor compression refrigeration system using a fog-cooled condenser, Appl. Therm. Eng. 196(2021) 117299.

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Selection of refrigerant based on multi-objective decision analysis for different waste heat recovery schemes

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