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Analysis and optimization with ecological objective function of irreversible single resonance energy selective electron heat engines

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  • Zhou, Junle
  • Chen, Lingen
  • Ding, Zemin
  • Sun, Fengrui

Abstract

Ecological performance of a single resonance ESE heat engine with heat leakage is conducted by applying finite time thermodynamics. By introducing Nielsen function and numerical calculations, expressions about power output, efficiency, entropy generation rate and ecological objective function are derived; relationships between ecological objective function and power output, between ecological objective function and efficiency as well as between power output and efficiency are demonstrated; influences of system parameters of heat leakage, boundary energy and resonance width on the optimal performances are investigated in detail; a specific range of boundary energy is given as a compromise to make ESE heat engine system work at optimal operation regions. Comparing performance characteristics with different optimization objective functions, the significance of selecting ecological objective function as the design objective is clarified specifically: when changing the design objective from maximum power output into maximum ecological objective function, the improvement of efficiency is 4.56%, while the power output drop is only 2.68%; when changing the design objective from maximum efficiency to maximum ecological objective function, the improvement of power output is 229.13%, and the efficiency drop is only 13.53%.

Suggested Citation

  • Zhou, Junle & Chen, Lingen & Ding, Zemin & Sun, Fengrui, 2016. "Analysis and optimization with ecological objective function of irreversible single resonance energy selective electron heat engines," Energy, Elsevier, vol. 111(C), pages 306-312.
    • Handle: RePEc:eee:energy:v:111:y:2016:i:c:p:306-312
    DOI: 10.1016/j.energy.2016.05.111
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    References listed on IDEAS

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    Cited by:

    1. Yin, Yong & Chen, Lingen & Wu, Feng, 2018. "Performance of quantum Stirling heat engine with numerous copies of extreme relativistic particles confined in 1D potential well," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 58-70.
    2. Ahmadi, Mohammad H. & Amin Nabakhteh, Mohammad & Ahmadi, Mohammad-Ali & Pourfayaz, Fathollah & Bidi, Mokhtar, 2017. "Investigation and optimization of performance of nano-scale Stirling refrigerator using working fluid as Maxwell–Boltzmann gases," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 483(C), pages 337-350.
    3. Chen, Lingen & Liu, Xiaowei & Wu, Feng & Xia, Shaojun & Feng, Huijun, 2020. "Exergy-based ecological optimization of an irreversible quantum Carnot heat pump with harmonic oscillators," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 537(C).
    4. Jinhu He & Lingen Chen & Yanlin Ge & Shuangshuang Shi & Fang Li, 2022. "Multi-Objective Optimization of an Irreversible Single Resonance Energy-Selective Electron Heat Engine," Energies, MDPI, vol. 15(16), pages 1-19, August.
    5. Wang, Junyi & Wang, Yuan & Su, Shanhe & Chen, Jincan, 2017. "Simulation design and performance evaluation of a thermoelectric refrigerator with inhomogeneously-doped nanomaterials," Energy, Elsevier, vol. 121(C), pages 427-432.

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