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Ecological coefficient of performance analysis and optimization of an irreversible regenerative-Brayton heat engine

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  • Ust, Yasin
  • Sahin, Bahri
  • Kodal, Ali
  • Akcay, Ismail Hakki

Abstract

In this paper, a performance optimization based on the ecological coefficient of performance (ECOP) criterion has been carried out for an irreversible regenerative Brayton heat-engine. The results obtained were compared with those using the power-output criterion and alternative ecological performance objective-function defined in the literature. The design parameters, under the optimal conditions, have been derived analytically and their effects on the engine's performance have been discussed. It is shown that, for the regenerative Brayton-engine, a design based on the maximum ECOP conditions is more advantageous from the point-of-view of entropy generation rate, thermal efficiency and investment cost.

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  • Ust, Yasin & Sahin, Bahri & Kodal, Ali & Akcay, Ismail Hakki, 2006. "Ecological coefficient of performance analysis and optimization of an irreversible regenerative-Brayton heat engine," Applied Energy, Elsevier, vol. 83(6), pages 558-572, June.
    • Handle: RePEc:eee:appene:v:83:y:2006:i:6:p:558-572
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    References listed on IDEAS

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    1. Ust, Yasin & Sahin, Bahri & Sogut, Oguz Salim, 2005. "Performance analysis and optimization of an irreversible dual-cycle based on an ecological coefficient of performance criterion," Applied Energy, Elsevier, vol. 82(1), pages 23-39, September.
    2. Wang, Wenhua & Chen, Lingen & Sun, Fengrui & Wu, Chih, 2005. "Power optimization of an endoreversible closed intercooled regenerated Brayton-cycle coupled to variable-temperature heat-reservoirs," Applied Energy, Elsevier, vol. 82(2), pages 181-195, October.
    3. Cheng, Ching-Yang & Chen, Cha'o-Kuang, 1996. "Power optimization of an endoreversible regenerative Brayton cycle," Energy, Elsevier, vol. 21(4), pages 241-247.
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    Cited by:

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    2. Açıkkalp, Emin & Caner, Necmettin, 2015. "Determining of the optimum performance of a nano scale irreversible Dual cycle with quantum gases as working fluid by using different methods," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 433(C), pages 247-258.
    3. Akkaya, Ali Volkan & Sahin, Bahri & Erdem, Hasan Huseyin, 2009. "Thermodynamic model for exergetic performance of a tubular SOFC module," Renewable Energy, Elsevier, vol. 34(7), pages 1863-1870.
    4. Peng, Wanli & Gonzalez-Ayala, Julian & Su, Guozhen & Chen, Jincan & Hernández, Antonio Calvo, 2021. "Solar-driven sodium thermal electrochemical converter coupled to a Brayton heat engine: Parametric optimization," Renewable Energy, Elsevier, vol. 164(C), pages 260-271.
    5. Ahmadi, Mohammad H. & Ahmadi, Mohammad Ali & Sadatsakkak, Seyed Abbas, 2015. "Thermodynamic analysis and performance optimization of irreversible Carnot refrigerator by using multi-objective evolutionary algorithms (MOEAs)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1055-1070.
    6. Ngouateu Wouagfack, Paiguy Armand & Tchinda, Réné, 2013. "Finite-time thermodynamics optimization of absorption refrigeration systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 524-536.
    7. 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.
    8. Açıkkalp, Emin, 2015. "Exergetic sustainability evaluation of irreversible Carnot refrigerator," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 311-320.
    9. Chandramouli, R. & Srinivasa Rao, M.S.S. & Ramji, K., 2015. "Energy and exergy based thermodynamic analysis of reheat and regenerative Braysson cycle," Energy, Elsevier, vol. 90(P2), pages 1848-1858.
    10. Cui, Yunfei & Geng, Zhiqiang & Zhu, Qunxiong & Han, Yongming, 2017. "Review: Multi-objective optimization methods and application in energy saving," Energy, Elsevier, vol. 125(C), pages 681-704.
    11. Açıkkalp, Emin & Caner, Necmettin, 2015. "Determining performance of an irreversible nano scale dual cycle operating with Maxwell–Boltzmann gas," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 424(C), pages 342-349.

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