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Dynamic modeling and parameter optimization of a free-piston Vuilleumier heat pump with dwell-based motion

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  • Chen, Hanfei
  • Lin, ChihChieh
  • Longtin, Jon P.

Abstract

Free-piston Vuilleumier heat pumps (VHPs) provide unique advantages for residential heating and cooling but require careful selection of machine design parameters to operate correctly, which is the focus of this work. A dynamic model for a free-piston VHP is first developed. Forces including mechanical spring, pressure, friction, gravity, and viscous damping are included. Ten machine design parameters, including displacer masses and spring constants, are optimized using the dynamic model combined with a non-dominated Sorting Genetic Algorithm. An initial design and experimental data for a prototype free-piston VHP is used as the starting point for the optimization. Several sets of optimized machine parameters are found that produce the desired machine motion profile, with little to no external energy input. The optimization results also suggest an improved design that eliminates one of the displacer springs, reducing overall system cost and complexity. The developed optimization approach is applicable to similar free-piston VHPs.

Suggested Citation

  • Chen, Hanfei & Lin, ChihChieh & Longtin, Jon P., 2019. "Dynamic modeling and parameter optimization of a free-piston Vuilleumier heat pump with dwell-based motion," Applied Energy, Elsevier, vol. 242(C), pages 741-751.
    • Handle: RePEc:eee:appene:v:242:y:2019:i:c:p:741-751
    DOI: 10.1016/j.apenergy.2019.03.077
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    References listed on IDEAS

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    1. Ramos Ruiz, Germán & Fernández Bandera, Carlos & Gómez-Acebo Temes, Tomás & Sánchez-Ostiz Gutierrez, Ana, 2016. "Genetic algorithm for building envelope calibration," Applied Energy, Elsevier, vol. 168(C), pages 691-705.
    2. Luo, Zhongyang & Sultan, Umair & Ni, Mingjiang & Peng, Hao & Shi, Bingwei & Xiao, Gang, 2016. "Multi-objective optimization for GPU3 Stirling engine by combining multi-objective algorithms," Renewable Energy, Elsevier, vol. 94(C), pages 114-125.
    3. Yang, Zhao & Zhuo, Yang & Ercang, Luo & Yuan, Zhou, 2014. "Travelling-wave thermoacoustic high-temperature heat pump for industrial waste heat recovery," Energy, Elsevier, vol. 77(C), pages 397-402.
    4. Ramos Ruiz, Germán & Fernández Bandera, Carlos, 2017. "Analysis of uncertainty indices used for building envelope calibration," Applied Energy, Elsevier, vol. 185(P1), pages 82-94.
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    Cited by:

    1. Abdellah Khodja & Raphael Paul & Andreas Fischer & Karl Heinz Hoffmann, 2021. "Optimized Cooling Power of a Vuilleumier Refrigerator with Limited Regeneration," Energies, MDPI, vol. 14(24), pages 1-21, December.
    2. Shi, Peng & Wang, Lin-Shu & Schwartz, Paul & Hofbauer, Peter, 2020. "State-wide comparative analysis of the cost saving potential of Vuilleumier heat pumps in residential houses," Applied Energy, Elsevier, vol. 277(C).

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