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Combining dynamic and thermodynamic models for dynamic simulation of a beta-type Stirling engine with rhombic-drive mechanism

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  • Cheng, Chin-Hsiang
  • Yu, Ying-Ju

Abstract

The present study is aimed at development of a dynamic model for the beta-type Stirling engines with rhombic-drive mechanism. Dynamic simulation of the engine is carried out under different operating and geometrical conditions by connecting the dynamic model to the existing thermodynamic model [23]. In the connection, the instantaneous gas forces exerted on the piston and the displacer are determined from the gas pressures in the expansion and the compression chambers with the help of the thermodynamic model. Once the gas forces are obtained, the dynamic model is used to determine the positions, velocities, and accelerations of the components of the engine at the consecutive time step, and then the gas pressures in the expansion and the compression chambers can be updated by the thermodynamic model. In this manner, transient variation in rotational speed of the engine during the hot-start period and the performance curves of the engine indicating the dependence of the power output and the thermal efficiency on the rotation speed can be predicted. In the present study, the effects of the major geometrical and operating parameters on the steady-state rotational speed, maximum power output and thermal efficiency have been evaluated thoroughly in a comprehensive parametric study.

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  • Cheng, Chin-Hsiang & Yu, Ying-Ju, 2012. "Combining dynamic and thermodynamic models for dynamic simulation of a beta-type Stirling engine with rhombic-drive mechanism," Renewable Energy, Elsevier, vol. 37(1), pages 161-173.
    • Handle: RePEc:eee:renene:v:37:y:2012:i:1:p:161-173
    DOI: 10.1016/j.renene.2011.06.013
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    References listed on IDEAS

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    8. Cheng, Chin-Hsiang & Yu, Ying-Ju, 2010. "Numerical model for predicting thermodynamic cycle and thermal efficiency of a beta-type Stirling engine with rhombic-drive mechanism," Renewable Energy, Elsevier, vol. 35(11), pages 2590-2601.
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    Citations

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    Cited by:

    1. Hooshang, M. & Askari Moghadam, R. & AlizadehNia, S., 2016. "Dynamic response simulation and experiment for gamma-type Stirling engine," Renewable Energy, Elsevier, vol. 86(C), pages 192-205.
    2. García-Canseco, Eloísa & Alvarez-Aguirre, Alejandro & Scherpen, Jacquelien M.A., 2015. "Modeling for control of a kinematic wobble-yoke Stirling engine," Renewable Energy, Elsevier, vol. 75(C), pages 808-817.
    3. 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.
    4. Yousefzadeh, H. & Tavakolpour-Saleh, A.R., 2021. "A novel unified dynamic-thermodynamic method for estimating damping and predicting performance of kinematic Stirling engines," Energy, Elsevier, vol. 224(C).
    5. Solmaz, Hamit & Safieddin Ardebili, Seyed Mohammad & Aksoy, Fatih & Calam, Alper & Yılmaz, Emre & Arslan, Muhammed, 2020. "Optimization of the operating conditions of a beta-type rhombic drive stirling engine by using response surface method," Energy, Elsevier, vol. 198(C).
    6. Erol, Derviş & Yaman, Hayri & Doğan, Battal, 2017. "A review development of rhombic drive mechanism used in the Stirling engines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 1044-1067.
    7. Bataineh, Khaled, 2018. "Mathematical formulation of alpha -type Stirling engine with Ross Yoke mechanism," Energy, Elsevier, vol. 164(C), pages 1178-1199.
    8. Altin, Murat & Okur, Melih & Ipci, Duygu & Halis, Serdar & Karabulut, Halit, 2018. "Thermodynamic and dynamic analysis of an alpha type Stirling engine with Scotch Yoke mechanism," Energy, Elsevier, vol. 148(C), pages 855-865.
    9. Rahmati, A. & Varedi-Koulaei, S.M. & Ahmadi, M.H. & Ahmadi, H., 2022. "Dynamic synthesis of the alpha-type stirling engine based on reducing the output velocity fluctuations using Metaheuristic algorithms," Energy, Elsevier, vol. 238(PB).

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