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Dynamic simulation of thermal-lag Stirling engines

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  • Cheng, Chin-Hsiang
  • Yang, Hang-Suin
  • Jhou, Bing-Yi
  • Chen, Yi-Cheng
  • Wang, Yu-Jen

Abstract

The present study is concerned with dynamic simulation of thermal-lag Stirling engines. A dynamic model is built and incorporated with a thermodynamic model to study the engine start process. A prototype engine is designed and simulated by using the dynamic model. In the simulation, different operating modes, including rotating mode, swinging mode, swinging-to-rotate mode, and swinging-to-decay mode, have been observed. The rotating mode is desired and can be achieved if the operating parameters are properly designed. In a poor design, the engine may switch to the swinging or even the swinging-to-decay mode. In addition, it is found that geometric parameters, such as bore size, stroke, and volume of working spaces, also determine the operating mode of the engine. Brake thermal efficiency of the engine is monotonically reduced by increasing engine speed. However, study of the dependence of the shaft power of the engine speed shows that there exists a maximum value of the shaft power at an optimal operating engine speed. The optimal engine speed leading to maximum shaft power is significantly influenced by the geometrical parameters.

Suggested Citation

  • Cheng, Chin-Hsiang & Yang, Hang-Suin & Jhou, Bing-Yi & Chen, Yi-Cheng & Wang, Yu-Jen, 2013. "Dynamic simulation of thermal-lag Stirling engines," Applied Energy, Elsevier, vol. 108(C), pages 466-476.
    • Handle: RePEc:eee:appene:v:108:y:2013:i:c:p:466-476
    DOI: 10.1016/j.apenergy.2013.03.062
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    References listed on IDEAS

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    2. Tavakolpour-Saleh, A.R. & Zare, SH. & Bahreman, H., 2017. "A novel active free piston Stirling engine: Modeling, development, and experiment," Applied Energy, Elsevier, vol. 199(C), pages 400-415.
    3. Xiao, Gang & Zhou, Tianxue & Ni, Mingjiang & Chen, Conghui & Luo, Zhongyang & Cen, Kefa, 2014. "Study on oscillating flow of moderate kinetic Reynolds numbers using complex velocity model and phase Doppler anemometer," Applied Energy, Elsevier, vol. 130(C), pages 830-837.
    4. Zare, Shahryar & Tavakolpour-saleh, A.R. & Aghahosseini, A. & Sangdani, M.H. & Mirshekari, Reza, 2021. "Design and optimization of Stirling engines using soft computing methods: A review," Applied Energy, Elsevier, vol. 283(C).
    5. Chin-Hsiang Cheng & Duc-Thuan Phung, 2022. "Modeling of Thermal-Lag Engine with Validation by Experimental Data," Energies, MDPI, vol. 15(20), pages 1-17, October.
    6. Sun, Haojie & Yu, Guoyao & Zhao, Dan & Dai, Wei & Luo, Ercang, 2023. "Thermoacoustic hysteresis of a free-piston Stirling electric generator," Energy, Elsevier, vol. 280(C).
    7. 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.
    8. Tavakolpour-Saleh, A.R. & Zare, Sh. & Omidvar, A., 2016. "Applying perturbation technique to analysis of a free piston Stirling engine possessing nonlinear springs," Applied Energy, Elsevier, vol. 183(C), pages 526-541.
    9. Mojtaba Alborzi & Faramarz Sarhaddi & Fatemeh Sobhnamayan, 2019. "Optimization of the thermal lag Stirling engine performance," Energy & Environment, , vol. 30(1), pages 156-175, February.
    10. Wang, Kai & Dubey, Swapnil & Choo, Fook Hoong & Duan, Fei, 2016. "A transient one-dimensional numerical model for kinetic Stirling engine," Applied Energy, Elsevier, vol. 183(C), pages 775-790.

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