IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v51y2015icp1055-1070.html
   My bibliography  Save this article

Thermodynamic analysis and performance optimization of irreversible Carnot refrigerator by using multi-objective evolutionary algorithms (MOEAs)

Author

Listed:
  • Ahmadi, Mohammad H.
  • Ahmadi, Mohammad Ali
  • Sadatsakkak, Seyed Abbas

Abstract

The main goal of this research is to specify the best assessment indexes for irreversible refrigeration cycles. These approaches available in the previous works are the ecological coefficient of performance and exergetic performance coefficient. Irreversible Carnot refrigerator is defined as a system. External and internal irreversibilities are included in the thermodynamic analysis. In this work, two scenarios of optimization are defined. The outcomes of each scenario are evaluated distinctly. In first scenario, in order to maximize the ecological coefficient of performance (ECOP) and exergy input to the system (Ex) and cooling load (QL), multi-objective optimization algorithms have been utilized. Also, in second scenario, three objective functions comprising the ecological coefficient of performance (ECOP) and exergy input to the system (Ex) and exergetic performance criteria (EPC) are maximized concurrently via multi-objective optimization approach. Multi-objective evolutionary algorithms (MOEAs) joined with NSGA-II approach are employed throughout this paper. Three robust decision making methods including LINAMP, TOPSIS and FUZZY are employed to ascertain final solutions. Finally, error analyses of the outputs gained via decision making methods are determined.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:rensus:v:51:y:2015:i:c:p:1055-1070
    DOI: 10.1016/j.rser.2015.07.006
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S136403211500653X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.rser.2015.07.006?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Geng, Bingrui & Li, Lingling & Jiao, Licheng & Gong, Maoguo & Cai, Qing & Wu, Yue, 2015. "NNIA-RS: A multi-objective optimization based recommender system," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 424(C), pages 383-397.
    2. Xia, Shaojun & Chen, Lingen & Sun, Fengrui, 2011. "Power-optimization of non-ideal energy converters under generalized convective heat transfer law via Hamilton-Jacobi-Bellman theory," Energy, Elsevier, vol. 36(1), pages 633-646.
    3. 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.
    4. Chen, Lingen & Zhu, Xiaoqin & Sun, Fengrui & Wu, Chih, 2006. "Exergy-based ecological optimization of linear phenomenological heat-transfer law irreversible Carnot-engines," Applied Energy, Elsevier, vol. 83(6), pages 573-582, June.
    5. Chen, Lingen & Xiaoqin, Zhu & Sun, Fengrui & Wu, Chih, 2007. "Exergy-based ecological optimization for a generalized irreversible Carnot heat-pump," Applied Energy, Elsevier, vol. 84(1), pages 78-88, January.
    6. Ust, Yasin & Sahin, Bahri & Kodal, Ali, 2007. "Optimization of a dual cycle cogeneration system based on a new exergetic performance criterion," Applied Energy, Elsevier, vol. 84(11), pages 1079-1091, November.
    7. 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.
    8. Chen, Lingen & Zhou, Jianping & Sun, Fengrui & Wu, Chih, 2004. "Ecological optimization for generalized irreversible Carnot engines," Applied Energy, Elsevier, vol. 77(3), pages 327-338, March.
    9. 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.
    10. Yan, Zijun & Lin, Guoxing, 2000. "Ecological optimization criterion for an irreversible three-heat-source refrigerator," Applied Energy, Elsevier, vol. 66(3), pages 213-224, July.
    11. Sieniutycz, Stanislaw, 1999. "Carnot problem of maximum work from a finite resource interacting with environment in a finite time," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 264(1), pages 234-263.
    12. Chen, Lingen & Zhang, Wanli & Sun, Fengrui, 2007. "Power, efficiency, entropy-generation rate and ecological optimization for a class of generalized irreversible universal heat-engine cycles," Applied Energy, Elsevier, vol. 84(5), pages 512-525, May.
    13. 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.
    14. Ust, Yasin & Safa, Aykut & Sahin, Bahri, 2005. "Ecological performance analysis of an endoreversible regenerative Brayton heat-engine," Applied Energy, Elsevier, vol. 80(3), pages 247-260, March.
    15. 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.
    16. Konak, Abdullah & Coit, David W. & Smith, Alice E., 2006. "Multi-objective optimization using genetic algorithms: A tutorial," Reliability Engineering and System Safety, Elsevier, vol. 91(9), pages 992-1007.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Shahriyar Abedinnezhad & Mohammad Hossein Ahmadi & Seyed Mohsen Pourkiaei & Fathollah Pourfayaz & Amir Mosavi & Michel Feidt & Shahaboddin Shamshirband, 2019. "Thermodynamic Assessment and Multi-Objective Optimization of Performance of Irreversible Dual-Miller Cycle," Energies, MDPI, vol. 12(20), pages 1-25, October.
    2. Meng, Fankai & Chen, Lingen & Feng, Yuanli & Xiong, Bing, 2017. "Thermoelectric generator for industrial gas phase waste heat recovery," Energy, Elsevier, vol. 135(C), pages 83-90.
    3. 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.
    4. Ahmadi, Mohammad Hossein & Ahmadi, Mohammad Ali, 2016. "Multi objective optimization of performance of three-heat-source irreversible refrigerators based algorithm NSGAII," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 784-794.
    5. Jianyun, Zhu & Li, Chen & Lijuan, Xia & Bin, Wang, 2019. "Bi-objective optimal design of plug-in hybrid electric propulsion system for ships," Energy, Elsevier, vol. 177(C), pages 247-261.
    6. Jin, Qinglong & Xia, Shaojun & Chen, Lingen, 2023. "A modified recompression S–CO2 Brayton cycle and its thermodynamic optimization," Energy, Elsevier, vol. 263(PE).
    7. Zhu, Jianyun & Chen, Li & Wang, Xuefeng & Yu, Long, 2020. "Bi-level optimal sizing and energy management of hybrid electric propulsion systems," Applied Energy, Elsevier, vol. 260(C).
    8. Ahmadi, Mohammad H. & Jokar, Mohammad Ali & Ming, Tingzhen & Feidt, Michel & Pourfayaz, Fathollah & Astaraei, Fatemeh Razi, 2018. "Multi-objective performance optimization of irreversible molten carbonate fuel cell–Braysson heat engine and thermodynamic analysis with ecological objective approach," Energy, Elsevier, vol. 144(C), pages 707-722.
    9. Chen, Lingen & Zhang, Lei & Xia, Shaojun & Sun, Fengrui, 2018. "Entropy generation minimization for CO2 hydrogenation to light olefins," Energy, Elsevier, vol. 147(C), pages 187-196.
    10. Ahmadi, Mohammad H. & Ahmadi, Mohammad-Ali & Maleki, Akbar & Pourfayaz, Fathollah & Bidi, Mokhtar & Açıkkalp, Emin, 2017. "Exergetic sustainability evaluation and multi-objective optimization of performance of an irreversible nanoscale Stirling refrigeration cycle operating with Maxwell–Boltzmann gas," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 80-92.
    11. 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.
    12. Ahmadi, Mohammad H. & Ahmadi, Mohammad Ali & Pourfayaz, Fathollah & Hosseinzade, Hadi & Acıkkalp, Emin & Tlili, Iskander & Feidt, Michel, 2016. "Designing a powered combined Otto and Stirling cycle power plant through multi-objective optimization approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 585-595.
    13. Yu, Youhong & Ding, Zemin & Chen, Lingen & Wang, Wenhua & Sun, Fengrui, 2016. "Power and efficiency optimization for an energy selective electron heat engine with double-resonance energy filter," Energy, Elsevier, vol. 107(C), pages 287-294.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Açıkkalp, Emin, 2015. "Exergetic sustainability evaluation of irreversible Carnot refrigerator," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 311-320.
    3. 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.
    4. 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.
    5. 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.
    6. Ahmadi, Mohammad H. & Ahmadi, Mohammad-Ali & Maleki, Akbar & Pourfayaz, Fathollah & Bidi, Mokhtar & Açıkkalp, Emin, 2017. "Exergetic sustainability evaluation and multi-objective optimization of performance of an irreversible nanoscale Stirling refrigeration cycle operating with Maxwell–Boltzmann gas," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 80-92.
    7. Long, Rui & Li, Baode & Liu, Zhichun & Liu, Wei, 2016. "Ecological analysis of a thermally regenerative electrochemical cycle," Energy, Elsevier, vol. 107(C), pages 95-102.
    8. Shahriyar Abedinnezhad & Mohammad Hossein Ahmadi & Seyed Mohsen Pourkiaei & Fathollah Pourfayaz & Amir Mosavi & Michel Feidt & Shahaboddin Shamshirband, 2019. "Thermodynamic Assessment and Multi-Objective Optimization of Performance of Irreversible Dual-Miller Cycle," Energies, MDPI, vol. 12(20), pages 1-25, October.
    9. Chen, Lingen & Li, Jun & Sun, Fengrui, 2008. "Generalized irreversible heat-engine experiencing a complex heat-transfer law," Applied Energy, Elsevier, vol. 85(1), pages 52-60, January.
    10. Chen, Lingen & Zhang, Wanli & Sun, Fengrui, 2007. "Power, efficiency, entropy-generation rate and ecological optimization for a class of generalized irreversible universal heat-engine cycles," Applied Energy, Elsevier, vol. 84(5), pages 512-525, May.
    11. Ahmadi, Mohammad Hossein & Ahmadi, Mohammad Ali, 2016. "Multi objective optimization of performance of three-heat-source irreversible refrigerators based algorithm NSGAII," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 784-794.
    12. 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).
    13. 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.
    14. 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.
    15. Qin, Xiaoyong & Chen, Lingen & Ge, Yanlin & Sun, Fengrui, 2015. "Thermodynamic modeling and performance analysis of the variable-temperature heat reservoir absorption heat pump cycle," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 788-797.
    16. Sun, Fengrui & Qin, Xiaoyong & Chen, Lingen & Wu, Chih, 2005. "Optimization between heating load and entropy-production rate for endoreversible absorption heat-transformers," Applied Energy, Elsevier, vol. 81(4), pages 434-448, August.
    17. Wu, TianXin & Wu, DengHao & Gao, ShuYu & Song, Yu & Ren, Yun & Mou, JieGang, 2023. "Multi-objective optimization and loss analysis of multistage centrifugal pumps," Energy, Elsevier, vol. 284(C).
    18. Zhang, Lei & Chen, Lingen & Sun, Fengrui, 2016. "Power optimization of chemically driven heat engine based on first and second order reaction kinetic theory and probability theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 445(C), pages 221-230.
    19. 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.
    20. Keshtkar, Mohammad Mehdi & Talebizadeh, Pouyan, 2017. "Multi-objective optimization of cooling water package based on 3E analysis: A case study," Energy, Elsevier, vol. 134(C), pages 840-849.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:rensus:v:51:y:2015:i:c:p:1055-1070. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.