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Finite time thermodynamic evaluation of endoreversible Stirling heat engine at maximum power conditions

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  • Tlili, Iskander

Abstract

Maximum power and efficiency at the maximum power point of an endoreversible Stirling heat engine with finite heat capacitance rate of external fluids in the heat source/sink reservoirs with regenerative losses are treated. It was found that the thermal efficiency depends on the regenerator effectiveness and the internal irreversibility resulting from the working fluid for a given value of reservoir temperature. It was also concluded that it is desirable to have larger heat capacity of the heat sink in comparison to the heat source reservoir for higher maximum power output and lower heat input.

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  • Tlili, Iskander, 2012. "Finite time thermodynamic evaluation of endoreversible Stirling heat engine at maximum power conditions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(4), pages 2234-2241.
  • Handle: RePEc:eee:rensus:v:16:y:2012:i:4:p:2234-2241
    DOI: 10.1016/j.rser.2012.01.022
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    References listed on IDEAS

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    Cited by:

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    2. Yang, Hang-Suin & Cheng, Chin-Hsiang & Huang, Shang-Ting, 2018. "A complete model for dynamic simulation of a 1-kW class beta-type Stirling engine with rhombic-drive mechanism," Energy, Elsevier, vol. 161(C), pages 892-906.
    3. Li, Ruijie & Grosu, Lavinia & Li, Wei, 2017. "New polytropic model to predict the performance of beta and gamma type Stirling engine," Energy, Elsevier, vol. 128(C), pages 62-76.
    4. Mabrouk, M.T. & Kheiri, A. & Feidt, M., 2015. "Effect of leakage losses on the performance of a β type Stirling engine," Energy, Elsevier, vol. 88(C), pages 111-117.
    5. Ahmadi, Mohammad H. & Ahmadi, Mohammad-Ali & Pourfayaz, Fathollah, 2017. "Thermal models for analysis of performance of Stirling engine: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 168-184.
    6. Tlili, I. & Vakkar, Ali, 2020. "Thermodynamic analysis and optimization of solar thermal engine: Performance enhancement," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
    7. Patel, Vivek & Savsani, Vimal, 2016. "Multi-objective optimization of a Stirling heat engine using TS-TLBO (tutorial training and self learning inspired teaching-learning based optimization) algorithm," Energy, Elsevier, vol. 95(C), pages 528-541.
    8. Ahmadi, Mohammad H. & Hosseinzade, Hadi & Sayyaadi, Hoseyn & Mohammadi, Amir H. & Kimiaghalam, Farshad, 2013. "Application of the multi-objective optimization method for designing a powered Stirling heat engine: Design with maximized power, thermal efficiency and minimized pressure loss," Renewable Energy, Elsevier, vol. 60(C), pages 313-322.

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