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Multi-mode analysis of a CO2-based combined refrigeration and power cycle for engine waste heat recovery

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  • Shi, Lingfeng
  • Tian, Hua
  • Shu, Gequn

Abstract

To realize the adjustable allocation of refrigeration and power in a combined refrigeration and power cycle, this study proposes a multi-mode cycle using CO2 as the working fluid. A refrigerated truck is selected as the research objective, the refrigeration demand and power demands of which vary frequently with different transportation conditions. The proposed system is driven by the exhaust gas of the main diesel engine and can replace the original refrigerator and related small-scale diesel engine. Three operating modes can be realized for different energy demands: full refrigeration output, combined refrigeration and power output, and full power output. The results indicate that the proposed system exhibits considerable potential for energy saving and diversified energy supply capacity. Following optimization of the configuration and parameters, the proposed energy solution (engine + proposed system) under the mode of combined refrigeration and power output can achieve a 2.9% fuel saving and 4.8% power increase simultaneously versus the original energy solution (engine + refrigerator) under refrigeration condition, 3.4% fuel saving and 1.6% power increase simultaneously under freezing conditions. The fuel economy is correspondingly improved 7.4% and 4.9%. Moreover, the proposed method can provide greater refrigeration and power capacities under the full refrigeration output and full power output modes.

Suggested Citation

  • Shi, Lingfeng & Tian, Hua & Shu, Gequn, 2020. "Multi-mode analysis of a CO2-based combined refrigeration and power cycle for engine waste heat recovery," Applied Energy, Elsevier, vol. 264(C).
    • Handle: RePEc:eee:appene:v:264:y:2020:i:c:s0306261920301823
    DOI: 10.1016/j.apenergy.2020.114670
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    References listed on IDEAS

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    Cited by:

    1. 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).
    2. Jobel Jose & Rajesh Kanna Parthasarathy & Senthil Kumar Arumugam, 2023. "Energy and Exergy Analysis of a Combined Cooling Heating and Power System with Regeneration," Sustainability, MDPI, vol. 15(18), pages 1-17, September.
    3. Zhang, Yonghao & Shi, Lingfeng & Tian, Hua & Li, Ligeng & Wang, Xuan & Sun, Xiaocun & Shu, Gequn, 2022. "Experiment on CO2–based combined cooling and power cycle: A multi-mode operating investigation," Applied Energy, Elsevier, vol. 313(C).
    4. Hu, Yuankang & Deng, Zeyu & Yang, Jiaming & Hu, Yilun & Zhong, Kaifeng & Xie, Yubao & Ou, Zhihua & Guo, Shuting & Li, Xiaoning, 2024. "Performance analysis of a novel multimode electricity-cooling cogeneration system (ECCS) driven by exhaust from a marine engine," Energy, Elsevier, vol. 300(C).
    5. Yu, Aofang & Xing, Lingli & Su, Wen & Liu, Pei, 2023. "State-of-the-art review on the CO2 combined power and cooling system: System configuration, modeling and performance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
    6. He, Jintao & Shi, Lingfeng & Tian, Hua & Wang, Xuan & Sun, Xiaocun & Zhang, Meiyan & Yao, Yu & Shu, Gequn, 2023. "Applying artificial neural network to approximate and predict the transient dynamic behavior of CO2 combined cooling and power cycle," Energy, Elsevier, vol. 285(C).
    7. Hongzeng Ji & Jinchen Pei & Jingyang Cai & Chen Ding & Fen Guo & Yichun Wang, 2023. "Review of Recent Advances in Transcritical CO 2 Heat Pump and Refrigeration Cycles and Their Development in the Vehicle Field," Energies, MDPI, vol. 16(10), pages 1-21, May.
    8. He, Jintao & Zhang, Yonghao & Tian, Hua & Wang, Xuan & Li, Ligeng & Cai, Jinwen & Shi, Lingfeng & Shu, Gequn, 2022. "Dynamic performance of a multi-mode operation CO2-based system combining cooling and power generation," Applied Energy, Elsevier, vol. 312(C).
    9. He, Jintao & Shi, Lingfeng & Tian, Hua & Wang, Xuan & Zhang, Yonghao & Zhang, Meiyan & Yao, Yu & Cai, Jinwen & Shu, Gequn, 2022. "Control strategy for a CO2-based combined cooling and power generation system based on heat source and cold sink fluctuations," Energy, Elsevier, vol. 257(C).
    10. 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).
    11. Davide Di Battista & Roberto Cipollone, 2023. "Waste Energy Recovery and Valorization in Internal Combustion Engines for Transportation," Energies, MDPI, vol. 16(8), pages 1-28, April.
    12. Wang, Yao & Wang, Qianlong & Yu, Jianlin & Qian, Suxin, 2023. "A heat pump dual temperature display cabinet using natural refrigerants," Applied Energy, Elsevier, vol. 330(PB).
    13. Zhang, Fengtao & Zhang, Jianyuan & You, Jinggang & Yang, Liyong & Wang, Wei & Luo, Qing & Jiao, Ligang & Liu, Zhengang & Jin, Quan & Wang, Hao, 2024. "Construction of multi-loop thermodynamic cycles: Methodology and case study," Energy, Elsevier, vol. 288(C).
    14. Liang, Youcai & Ye, Kai & Zhu, Yan & Lu, Jidong, 2023. "Thermodynamic analysis of two-stage and dual-temperature ejector refrigeration cycles driven by the waste heat of exhaust gas," Energy, Elsevier, vol. 278(C).
    15. Angelo Maiorino & Fabio Petruzziello & Ciro Aprea, 2021. "Refrigerated Transport: State of the Art, Technical Issues, Innovations and Challenges for Sustainability," Energies, MDPI, vol. 14(21), pages 1-55, November.

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