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Parameter sensitivity analysis of duplex Stirling coolers

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  • Hu, J.Y.
  • Luo, E.C.
  • Dai, W.
  • Zhang, L.M.

Abstract

Duplex Stirling coolers are external heat-driven regenerative machines that obtain cooling power with high efficiency and reliability. Although the technology is promising, little progress has been reported since they were invented. This paper examines the influence of system parameters on the cooling performance of a duplex Stirling cooler. The study showed that the system was sensitive to a number of parameters, as slight changes in these parameters resulted in the cooling performance deviating significantly from the design. In practice, deviation of system parameters from the design is inevitable. Therefore, actual systems often produce unexpected performance, and this is likely the main obstacle to utilizing such a system in practical applications. To overcome this disadvantage, two methods were proposed to allow the power piston to move with a constant displacement, which may allow for duplex Stirling coolers to become a more widely used cooling system. A new configuration for duplex Stirling coolers was also considered, and it showed similar characteristics as the typical configuration.

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  • Hu, J.Y. & Luo, E.C. & Dai, W. & Zhang, L.M., 2017. "Parameter sensitivity analysis of duplex Stirling coolers," Applied Energy, Elsevier, vol. 190(C), pages 1039-1046.
    • Handle: RePEc:eee:appene:v:190:y:2017:i:c:p:1039-1046
    DOI: 10.1016/j.apenergy.2017.01.022
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    Cited by:

    1. Hu, J.Y. & Luo, E.C. & Zhang, L.M. & Chen, Y.Y. & Wu, Z.H. & Gao, B., 2018. "Analysis of a displacer-coupled multi-stage thermoacoustic-Stirling engine," Energy, Elsevier, vol. 145(C), pages 507-514.
    2. Chang, Depeng & Hu, Jianying & Sun, Yanlei & Zhang, Limin & Chen, Yanyan & Luo, Ercang, 2023. "Numerical investigation on key parameters of a double-acting free piston Stirling generator," Energy, Elsevier, vol. 278(PB).
    3. Sun, Haojie & Yu, Guoyao & Dai, Wei & Zhang, Limin & Luo, Ercang, 2022. "Dynamic and thermodynamic characterization of a resonance tube-coupled free-piston Stirling engine-based combined cooling and power system," Applied Energy, Elsevier, vol. 322(C).
    4. Li, Xiaowei & Liu, Bin & Yu, Guoyao & Dai, Wei & Hu, Jianying & Luo, Ercang & Li, Haibing, 2017. "Experimental validation and numeric optimization of a resonance tube-coupled duplex Stirling cooler," Applied Energy, Elsevier, vol. 207(C), pages 604-612.
    5. Li, Xuerong & Shang, Wei & Wang, Shouyang, 2019. "Text-based crude oil price forecasting: A deep learning approach," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1548-1560.
    6. Wang, Xin & Xu, Jingyuan & Wu, Zhanghua & Luo, Ercang, 2022. "A thermoacoustic refrigerator with multiple-bypass expansion cooling configuration for natural gas liquefaction," Applied Energy, Elsevier, vol. 313(C).
    7. Xu, Jingyuan & Luo, Ercang & Hochgreb, Simone, 2021. "A thermoacoustic combined cooling, heating, and power (CCHP) system for waste heat and LNG cold energy recovery," Energy, Elsevier, vol. 227(C).
    8. Xu, Jingyuan & Luo, Ercang & Hochgreb, Simone, 2020. "Study on a heat-driven thermoacoustic refrigerator for low-grade heat recovery," Applied Energy, Elsevier, vol. 271(C).

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