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Modeling and analysis of an integrated solid state elastocaloric heat pumping system

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  • Luo, Dong
  • Feng, Yinshan
  • Verma, Parmesh

Abstract

Elastocaloric cooling (ECC) is considered as one of the candidates to replace vapor compression cycles, which use refrigerants with global warming potential (GWP) as working fluids. In order to properly understand the ECC system performance, it is critical to conduct analysis at the integrated system level. Also, due to the cyclic operation of an ECC system, dynamic modeling becomes necessary to capture the associated transients. In this study, for air conditioning applications, a unique air-to-air ECC dynamic system model has been developed to simultaneously simulate the elastocaloric effect of NiTi, heat transfer, and water transport in the system. Key parameters have been identified from sensitivity analysis of various options as well as the dynamic coupling among components. A systematic methodology has been further developed to identify practical solutions of the integrated ECC system, which provides a basis for comparison against other existing cooling technologies. Performance of an integrated ECC system with 1.2 kW net cooling capacity has been optimized using the NSGA-II method for maximum coefficient of performance (COP) within operational constraints. It has been demonstrated that effective system design and energy-efficient operation can only be achieved from optimization of the entire integrated system instead of a component or subsystem.

Suggested Citation

  • Luo, Dong & Feng, Yinshan & Verma, Parmesh, 2017. "Modeling and analysis of an integrated solid state elastocaloric heat pumping system," Energy, Elsevier, vol. 130(C), pages 500-514.
    • Handle: RePEc:eee:energy:v:130:y:2017:i:c:p:500-514
    DOI: 10.1016/j.energy.2017.05.008
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    References listed on IDEAS

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    1. Qian, Suxin & Yu, Jianlin & Yan, Gang, 2017. "A review of regenerative heat exchange methods for various cooling technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 535-550.
    2. Jaka Tušek & Kurt Engelbrecht & Dan Eriksen & Stefano Dall’Olio & Janez Tušek & Nini Pryds, 2016. "A regenerative elastocaloric heat pump," Nature Energy, Nature, vol. 1(10), pages 1-6, October.
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    Cited by:

    1. Tan, Jianming & Wang, Yao & Xu, Shijie & Liu, Huaican & Qian, Suxin, 2020. "Thermodynamic cycle analysis of heat driven elastocaloric cooling system," Energy, Elsevier, vol. 197(C).
    2. Jongchansitto, P. & Yachai, T. & Preechawuttipong, I. & Boufayed, R. & Balandraud, X., 2021. "Concept of mechanocaloric granular material made from shape memory alloy," Energy, Elsevier, vol. 219(C).
    3. Aprea, C. & Greco, A. & Maiorino, A. & Masselli, C., 2018. "Solid-state refrigeration: A comparison of the energy performances of caloric materials operating in an active caloric regenerator," Energy, Elsevier, vol. 165(PA), pages 439-455.
    4. Žiga Ahčin & Parham Kabirifar & Luka Porenta & Miha Brojan & Jaka Tušek, 2022. "Numerical Modeling of Shell-and-Tube-like Elastocaloric Regenerator," Energies, MDPI, vol. 15(23), pages 1-28, December.
    5. Han, Yuan & Lai, Cong & Li, Jiarui & Zhang, Zhufeng & Zhang, Houcheng & Hou, Shujin & Wang, Fu & Zhao, Jiapei & Zhang, Chunfei & Miao, He & Yuan, Jinliang, 2022. "Elastocaloric cooler for waste heat recovery from proton exchange membrane fuel cells," Energy, Elsevier, vol. 238(PA).
    6. Chdil, O. & Bikerouin, M. & Balli, M. & Mounkachi, O., 2023. "New horizons in magnetic refrigeration using artificial intelligence," Applied Energy, Elsevier, vol. 335(C).
    7. Aprea, C. & Greco, A. & Maiorino, A. & Masselli, C., 2020. "The use of barocaloric effect for energy saving in a domestic refrigerator with ethylene-glycol based nanofluids: A numerical analysis and a comparison with a vapor compression cooler," Energy, Elsevier, vol. 190(C).
    8. Qian, Suxin & Yuan, Lifen & Yu, Jianlin & Yan, Gang, 2017. "Numerical modeling of an active elastocaloric regenerator refrigerator with phase transformation kinetics and the matching principle for materials selection," Energy, Elsevier, vol. 141(C), pages 744-756.

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