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Combined cooling and power cycle for engine waste heat recovery using CO2-based mixtures

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Listed:
  • Yao, Yu
  • Shi, Lingfeng
  • Tian, Hua
  • Wang, Xuan
  • Sun, Xiaocun
  • Zhang, Yonghao
  • Wu, Zirui
  • Sun, Rui
  • Shu, Gequn

Abstract

CO2-based mixture is a potential working fluid choice of combined cooling and power cycle (CCP) due to its superior thermodynamic performances and the removal of the limit of CO2 critical temperature. This study proposes a CCP system using CO2-based mixtures, loaded on a refrigerated truck, to realize multi-mode transformations for diverse cooling and power demands. The components of mixtures are strictly screened and key parameter analyses and optimization in terms of energy, exergy, adjustability, and economic performance are conducted to find the general laws and the best composition of the mixtures. The results show CO2-based mixtures have better energy-saving potential, adaptability, adjustability, and compactness than CO2. By comparison, CO2/R32 is recommended for superior output capacity, lower operation parameters, remarkable adjustability, and cheaper investment cost. CCP using CO2/R32 can maximally achieve 6.9% power enhancement or 5.9 times cooling enhancement relative to the refrigerated truck using a stand-alone refrigerator, and 19% power increase or 80% cooling increase relative to the CO2 system. It can realize smooth and steady mode transformation to achieve complex and diverse allocation of refrigeration and power in actual operation.

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  • Yao, Yu & Shi, Lingfeng & Tian, Hua & Wang, Xuan & Sun, Xiaocun & Zhang, Yonghao & Wu, Zirui & Sun, Rui & Shu, Gequn, 2022. "Combined cooling and power cycle for engine waste heat recovery using CO2-based mixtures," Energy, Elsevier, vol. 240(C).
    • Handle: RePEc:eee:energy:v:240:y:2022:i:c:s0360544221027201
    DOI: 10.1016/j.energy.2021.122471
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    Cited by:

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    2. Mosaffa, A.H. & Garousi Farshi, L., 2022. "Exergoeconomic analysis and optimization of a novel integrated two power/cooling cogeneration system using zeotropic mixtures," Energy, Elsevier, vol. 253(C).
    3. Sun, Xiaocun & Shi, Lingfeng & Tian, Hua & Wang, Xuan & Zhang, Yonghao & Yao, Yu & Lu, Bowen & Sun, Rui & Shu, Gequn, 2023. "Performance enhancement of combined cooling and power cycle through composition adjustment in off-design conditions," Energy, Elsevier, vol. 278(PA).
    4. Zhao, Dongpeng & Han, Changho & Cho, Wonhee & Zhao, Li & Kim, Yongchan, 2022. "Directly combining a power cycle and refrigeration cycle: Method and case study," Energy, Elsevier, vol. 259(C).
    5. Zhang, Chong & Shi, Lingfeng & Pei, Gang & Yao, Yu & Li, Kexin & Zhou, Shuo & Shu, Gequn, 2023. "Thermodynamic analysis of combined heating and power system with In-Situ resource utilization for lunar base," Energy, Elsevier, vol. 284(C).

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