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A novel mass integration cogeneration system: Working fluid selection model and multi-criteria decision analysis

Author

Listed:
  • Yang, Jiawen
  • Li, Chengyun
  • Wang, Qiong
  • Zhao, Jun
  • Xia, Li
  • Sun, Xiaoyan
  • Wang, Lili
  • Xiang, Shuguang

Abstract

As the globe faces major difficulties such as climate change, environmental pollution, and limited energy resources, improving energy efficiency and decreasing the environmental effects of energy systems have become research priorities. A novel mass integration cogeneration (MICHP) system is proposed in this paper. In addition, a mathematical model relating the basic physical properties of the working fluid to the system's performance has been developed. R1233zd(E), R1224yd(Z), R601a, R245fa, and acetone have been chosen to be applied to the MICHP to confirm the model's accuracy. By utilizing the technique for order preference by similarity to an ideal solution, the entropy weight method, and energy, exergy, economic, and environmental analyses of the MICHP, the general efficiency of the working fluid is further explored. The results show that the intermediate heat exchanger is the largest exergy destruction equipment in the system. R601a has the highest return on investment of 0.53, and the annual operating cost is found to be proportional to the latent heat of the working fluid. R1233zd(E) has the lowest environmental impact, with a total equivalent warming impact of −4.89 × 106 kgCO2eq. The multi-criteria decision analysis of the working fluid agrees with the order of the proposed mathematical model's results, proving the model's accuracy. Consequently, the mathematical model can provide a helpful technique guide for working fluid selection in cogeneration systems.

Suggested Citation

  • Yang, Jiawen & Li, Chengyun & Wang, Qiong & Zhao, Jun & Xia, Li & Sun, Xiaoyan & Wang, Lili & Xiang, Shuguang, 2024. "A novel mass integration cogeneration system: Working fluid selection model and multi-criteria decision analysis," Energy, Elsevier, vol. 308(C).
    • Handle: RePEc:eee:energy:v:308:y:2024:i:c:s0360544224027634
    DOI: 10.1016/j.energy.2024.132989
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    as
    1. Marshall, Z.M. & Duquette, J., 2022. "A techno-economic evaluation of low global warming potential heat pump assisted organic Rankine cycle systems for data center waste heat recovery," Energy, Elsevier, vol. 242(C).
    2. Bani-Hani, Ehab & El Haj Assad, Mamdouh & Alzara, Majed & Yosri, Ahmed M. & Aryanfar, Yashar & Castellanos, Humberto Garcia & Mohtaram, Soheil & Bouabidi, Abdallah, 2023. "Energy and exergy analyses of a regenerative Brayton cycle utilizing monochlorobiphenyl wastes as an alternative fuel," Energy, Elsevier, vol. 278(PA).
    3. Liu, Liuchen & Wu, Jinlu & Zhong, Fen & Gao, Naiping & Cui, Guomin, 2021. "Development of a novel cogeneration system by combing organic rankine cycle and heat pump cycle for waste heat recovery," Energy, Elsevier, vol. 217(C).
    4. Wu, Di & Hu, Bin & Wang, R.Z., 2021. "Vapor compression heat pumps with pure Low-GWP refrigerants," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    5. Razmi, Amir Reza & Arabkoohsar, Ahmad & Nami, Hossein, 2020. "Thermoeconomic analysis and multi-objective optimization of a novel hybrid absorption/recompression refrigeration system," Energy, Elsevier, vol. 210(C).
    6. Wu, Zhangxiang & Wang, Xiaoyan & Sha, Li & Li, Xiaoqiong & Yang, Xiaochen & Ma, Xuelian & Zhang, Yufeng, 2021. "Performance analysis and multi-objective optimization of the high-temperature cascade heat pump system," Energy, Elsevier, vol. 223(C).
    7. Liu, Ziyang & He, Mingfei & Tang, Xiaoping & Yuan, Guofeng & Yang, Bin & Yu, Xiaohui & Wang, Zhifeng, 2024. "Capacity optimisation and multi-dimensional analysis of air-source heat pump heating system: A case study," Energy, Elsevier, vol. 294(C).
    8. Tan, Zhimin & Feng, Xiao & Wang, Yufei, 2021. "Performance comparison of different heat pumps in low-temperature waste heat recovery," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    9. Frutiger, Jérôme & Andreasen, Jesper & Liu, Wei & Spliethoff, Hartmut & Haglind, Fredrik & Abildskov, Jens & Sin, Gürkan, 2016. "Working fluid selection for organic Rankine cycles – Impact of uncertainty of fluid properties," Energy, Elsevier, vol. 109(C), pages 987-997.
    10. Altun, A.F. & Kilic, M., 2020. "Thermodynamic performance evaluation of a geothermal ORC power plant," Renewable Energy, Elsevier, vol. 148(C), pages 261-274.
    11. Wang, Lili & Xia, Li & Li, Chengyun & Tian, Yuan & Teng, Junfeng & Sun, Xiaoyan & Xiang, Shuguang, 2023. "Exergy, economic, and exergoenvironmental analyses of new combined heat and power process based on mechanism analysis of working fluid screening," Energy, Elsevier, vol. 262(PA).
    12. Mota-Babiloni, Adrián & Barbosa, Jader R. & Makhnatch, Pavel & Lozano, Jaime A., 2020. "Assessment of the utilization of equivalent warming impact metrics in refrigeration, air conditioning and heat pump systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 129(C).
    Full references (including those not matched with items on IDEAS)

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