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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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    Cited by:

    1. Chen, Lingen & Shi, Shuangshuang & Ge, Yanlin & Feng, Huijun, 2023. "Performance optimization of diffusive mass transfer law irreversible isothermal chemical pump," Energy, Elsevier, vol. 263(PC).
    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).
    3. Li, Zhaojin & Bi, Yuehong & Wang, Cun & Shi, Qi & Mou, Tianhong, 2023. "Finite time thermodynamic optimization for performance of absorption energy storage systems," Energy, Elsevier, vol. 282(C).
    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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