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Multi-objective optimization of Stirling heat engine with various heat and mechanical losses

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  • Xu, Haoran
  • Chen, Lingen
  • Ge, Yanlin
  • Feng, Huijun

Abstract

The finite time thermodynamics is used to perform the thermodynamic analysis of the Stirling heat engine in this paper, and the multi-objective optimization of the heat engine cycle is carried out by Non-dominated Sorting Genetic Algorithm II (NSGA-II). In addition to various heat transfer losses (thermal resistance, regeneration loss and heat leakage), there are also mechanical losses in the cycle. The temperature ratio (x) and volume compression ratio (λ) are taken as the optimization variables, the multi-objective optimization is carried out for four objectives of cycle dimensionless shaft power, braking thermal efficiency, dimensionless efficient power and dimensionless ecological function, and effects of the two variables on the characteristics of the four optimization objectives are analyzed. Three decision-making methods, Linear Programming Techniques for Multidimensional Analysis of Preference (LINMAP), Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) and Shannon Entropy, are used to compare and analyze the optimization results of different combinations of optimization objective. The results show that the deviation indexes of quadru-objective optimization are smaller than those of single-objective optimization results, and it means that comparing with the single-objective optimization, multi-objective optimization can make better balance the four objective functions.

Suggested Citation

  • Xu, Haoran & Chen, Lingen & Ge, Yanlin & Feng, Huijun, 2022. "Multi-objective optimization of Stirling heat engine with various heat and mechanical losses," Energy, Elsevier, vol. 256(C).
  • Handle: RePEc:eee:energy:v:256:y:2022:i:c:s0360544222016024
    DOI: 10.1016/j.energy.2022.124699
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    References listed on IDEAS

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    1. Blank, David A. & Davis, Gregory W. & Wu, Chih, 1994. "Power optimization of an endoreversible stirling cycle with regeneration," Energy, Elsevier, vol. 19(1), pages 125-133.
    2. Kaushik, S.C & Kumar, S, 2000. "Finite time thermodynamic analysis of endoreversible Stirling heat engine with regenerative losses," Energy, Elsevier, vol. 25(10), pages 989-1003.
    3. 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.
    4. 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.
    5. Patel, Vivek & Savsani, Vimal & Mudgal, Anurag, 2017. "Many-objective thermodynamic optimization of Stirling heat engine," Energy, Elsevier, vol. 125(C), pages 629-642.
    6. Mathias Scheunert & Robin Masser & Abdellah Khodja & Raphael Paul & Karsten Schwalbe & Andreas Fischer & Karl Heinz Hoffmann, 2020. "Power-Optimized Sinusoidal Piston Motion and Its Performance Gain for an Alpha-Type Stirling Engine with Limited Regeneration," Energies, MDPI, vol. 13(17), pages 1-19, September.
    7. Dai, Dongdong & Liu, Zhichun & Long, Rui & Yuan, Fang & Liu, Wei, 2019. "An irreversible Stirling cycle with temperature difference both in non-isothermal and isochoric processes," Energy, Elsevier, vol. 186(C).
    8. Mohammad Hossein Ahmadi & Mohammad Ali Ahmadi & Mehdi Mehrpooya, 2016. "Investigation of the effect of design parameters on power output and thermal efficiency of a Stirling engine by thermodynamic analysis," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 11(2), pages 141-156.
    9. Ladas, H.G. & Ibrahim, O.M., 1994. "Finite-time view of the stirling engine," Energy, Elsevier, vol. 19(8), pages 837-843.
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    Cited by:

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    2. Prajapati, Parth & Patel, Vivek & Raja, Bansi D. & Jouhara, Hussam, 2023. "Multi objective ecological optimization of an irreversible Stirling cryogenic refrigerator cycle," Energy, Elsevier, vol. 274(C).
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    4. Chen, Lingen & Lorenzini, Giulio, 2023. "Heating load, COP and exergetic efficiency optimizations for TEG-TEH combined thermoelectric device with Thomson effect and external heat transfer," Energy, Elsevier, vol. 270(C).
    5. Ge, Yanlin & Wu, Heng & Chen, Lingen & Feng, Huijun & Xie, Zhihui, 2023. "Finite time and finite speed thermodynamic optimization for an irreversible Atkinson cycle," Energy, Elsevier, vol. 270(C).

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