IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v113y2014icp982-989.html
   My bibliography  Save this article

An optimization method for gas refrigeration cycle based on the combination of both thermodynamics and entransy theory

Author

Listed:
  • Chen, Qun
  • Xu, Yun-Chao
  • Hao, Jun-Hong

Abstract

A thermodynamic cycle usually consists of heat transfer processes in heat exchangers and heat-work conversion processes in compressors, expanders and/or turbines. This paper presents a new optimization method for effective improvement of thermodynamic cycle performance with the combination of entransy theory and thermodynamics. The heat transfer processes in a gas refrigeration cycle are analyzed by entransy theory and the heat-work conversion processes are analyzed by thermodynamics. The combination of these two analysis yields a mathematical relation directly connecting system requirements, e.g. cooling capacity rate and power consumption rate, with design parameters, e.g. heat transfer area of each heat exchanger and heat capacity rate of each working fluid, without introducing any intermediate variable. Based on this relation together with the conditional extremum method, we theoretically derive an optimization equation group. Simultaneously solving this equation group offers the optimal structural and operating parameters for every single gas refrigeration cycle and furthermore provides several useful optimization criteria for all the cycles. Finally, a practical gas refrigeration cycle is taken as an example to show the application and validity of the newly proposed optimization method.

Suggested Citation

  • Chen, Qun & Xu, Yun-Chao & Hao, Jun-Hong, 2014. "An optimization method for gas refrigeration cycle based on the combination of both thermodynamics and entransy theory," Applied Energy, Elsevier, vol. 113(C), pages 982-989.
    • Handle: RePEc:eee:appene:v:113:y:2014:i:c:p:982-989
    DOI: 10.1016/j.apenergy.2013.08.039
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261913006831
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2013.08.039?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. Giuffrida, Antonio & Romano, Matteo C. & Lozza, Giovanni, 2011. "Thermodynamic analysis of air-blown gasification for IGCC applications," Applied Energy, Elsevier, vol. 88(11), pages 3949-3958.
    2. Descamps, C. & Bouallou, C. & Kanniche, M., 2008. "Efficiency of an Integrated Gasification Combined Cycle (IGCC) power plant including CO2 removal," Energy, Elsevier, vol. 33(6), pages 874-881.
    3. Ma, Zhenjun & Wang, Shengwei, 2011. "Supervisory and optimal control of central chiller plants using simplified adaptive models and genetic algorithm," Applied Energy, Elsevier, vol. 88(1), pages 198-211, January.
    4. Chen, Lingen & Sun, Fengrui & Wu, Chih, 2004. "Optimal allocation of heat-exchanger area for refrigeration and air-conditioning plants," Applied Energy, Elsevier, vol. 77(3), pages 339-354, March.
    5. Yuan, Fang & Chen, Qun, 2012. "A global optimization method for evaporative cooling systems based on the entransy theory," Energy, Elsevier, vol. 42(1), pages 181-191.
    6. Chen, Qun & Pan, Ning & Guo, Zeng-Yuan, 2011. "A new approach to analysis and optimization of evaporative cooling system II: Applications," Energy, Elsevier, vol. 36(5), pages 2890-2898.
    7. Tu, Youming & Chen, Lingen & Sun, Fengrui & Wu, Chih, 2006. "Cooling load and coefficient of performance optimizations for real air-refrigerators," Applied Energy, Elsevier, vol. 83(12), pages 1289-1306, December.
    8. Chen, Qun & Yang, Kangding & Wang, Moran & Pan, Ning & Guo, Zeng-Yuan, 2010. "A new approach to analysis and optimization of evaporative cooling system I: Theory," Energy, Elsevier, vol. 35(6), pages 2448-2454.
    9. Yu, F.W. & Chan, K.T., 2008. "Optimization of water-cooled chiller system with load-based speed control," Applied Energy, Elsevier, vol. 85(10), pages 931-950, October.
    10. Chen, Qun & Xu, Yun-Chao, 2012. "An entransy dissipation-based optimization principle for building central chilled water systems," Energy, Elsevier, vol. 37(1), pages 571-579.
    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. Xu, Yun-Chao & Chen, Qun & Guo, Zeng-Yuan, 2015. "Entransy dissipation-based constraint for optimization of heat exchanger networks in thermal systems," Energy, Elsevier, vol. 86(C), pages 696-708.
    2. Xin, Yong-Lin & Zhao, Tian & Chen, Xi & He, Ke-Lun & Ma, Huan & Chen, Qun, 2022. "Heat current method-based real-time coordination of power and heat generation of multi-CHP units with flexibility retrofits," Energy, Elsevier, vol. 252(C).
    3. Chen, Xi & Chen, Qun & Chen, Hong & Xu, Ying-Gen & Zhao, Tian & Hu, Kang & He, Ke-Lun, 2019. "Heat current method for analysis and optimization of heat recovery-based power generation systems," Energy, Elsevier, vol. 189(C).
    4. Kwak, Dong-Hun & Heo, Jeong-Ho & Park, Seung-Ha & Seo, Seok-Jang & Kim, Jin-Kuk, 2018. "Energy-efficient design and optimization of boil-off gas (BOG) re-liquefaction process for liquefied natural gas (LNG)-fuelled ship," Energy, Elsevier, vol. 148(C), pages 915-929.
    5. Li, Xia & Chen, Qun & Chen, Xi & He, Ke-Lun & Hao, Jun-Hong, 2020. "Graph theory-based heat current analysis method for supercritical CO2 power generation system," Energy, Elsevier, vol. 194(C).
    6. Zhang, Chun-Lu & Yuan, Han & Cao, Xiang, 2015. "New insight into regenerated air heat pump cycle," Energy, Elsevier, vol. 91(C), pages 226-234.
    7. Gou, Xing & Chen, Qun & Sun, Yong & Ma, Huan & Li, Bao-Ju, 2021. "Holistic analysis and optimization of distributed energy system considering different transport characteristics of multi-energy and component efficiency variation," Energy, Elsevier, vol. 228(C).

    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. Xu, Yun-Chao & Chen, Qun, 2013. "A theoretical global optimization method for vapor-compression refrigeration systems based on entransy theory," Energy, Elsevier, vol. 60(C), pages 464-473.
    2. Yu Zhai & Xu Zhao & Zhifeng Dong, 2022. "Research on Performance Optimization of Gravity Heat Pipe for Mine Return Air," Energies, MDPI, vol. 15(22), pages 1-14, November.
    3. Chen, Qun & Fu, Rong-Huan & Xu, Yun-Chao, 2015. "Electrical circuit analogy for heat transfer analysis and optimization in heat exchanger networks," Applied Energy, Elsevier, vol. 139(C), pages 81-92.
    4. Cui, Haijiao & Li, Nianping & Wang, Xinlei & Peng, Jinqing & Li, Yuan & Wu, Zhibin, 2017. "Optimization of reversibly used cooling tower with downward spraying," Energy, Elsevier, vol. 127(C), pages 30-43.
    5. Igor Donskoy, 2023. "Techno-Economic Efficiency Estimation of Promising Integrated Oxyfuel Gasification Combined-Cycle Power Plants with Carbon Capture," Clean Technol., MDPI, vol. 5(1), pages 1-18, February.
    6. Prabu, V. & Geeta, K., 2015. "CO2 enhanced in-situ oxy-coal gasification based carbon-neutral conventional power generating systems," Energy, Elsevier, vol. 84(C), pages 672-683.
    7. Zhan, Changhong & Duan, Zhiyin & Zhao, Xudong & Smith, Stefan & Jin, Hong & Riffat, Saffa, 2011. "Comparative study of the performance of the M-cycle counter-flow and cross-flow heat exchangers for indirect evaporative cooling – Paving the path toward sustainable cooling of buildings," Energy, Elsevier, vol. 36(12), pages 6790-6805.
    8. Chen, Qun & Wang, Yi-Fei & Xu, Yun-Chao, 2015. "A thermal resistance-based method for the optimal design of central variable water/air volume chiller systems," Applied Energy, Elsevier, vol. 139(C), pages 119-130.
    9. Guo, Jiangfeng & Huai, Xiulan, 2012. "Optimization design of recuperator in a chemical heat pump system based on entransy dissipation theory," Energy, Elsevier, vol. 41(1), pages 335-343.
    10. Li, Tailu & Fu, Wencheng & Zhu, Jialing, 2014. "An integrated optimization for organic Rankine cycle based on entransy theory and thermodynamics," Energy, Elsevier, vol. 72(C), pages 561-573.
    11. Duan, Zhiyin & Zhan, Changhong & Zhang, Xingxing & Mustafa, Mahmud & Zhao, Xudong & Alimohammadisagvand, Behrang & Hasan, Ala, 2012. "Indirect evaporative cooling: Past, present and future potentials," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(9), pages 6823-6850.
    12. Qinli Deng & Liangxin Xu & Tingfang Zhao & Xuexin Hong & Xiaofang Shan & Zhigang Ren, 2022. "Cooperative Optimization of A Refrigeration System with A Water-Cooled Chiller and Air-Cooled Heat Pump by Coupling BPNN and PSO," Energies, MDPI, vol. 15(19), pages 1-19, September.
    13. Huang, Sen & Zuo, Wangda & Sohn, Michael D., 2016. "Amelioration of the cooling load based chiller sequencing control," Applied Energy, Elsevier, vol. 168(C), pages 204-215.
    14. Wang, Huiru & Liu, Zhenyu & Wu, Huiying, 2017. "Entransy dissipation-based thermal resistance optimization of slab LHTES system with multiple PCMs arranged in a 2D array," Energy, Elsevier, vol. 138(C), pages 739-751.
    15. Giuffrida, Antonio & Romano, Matteo C. & Lozza, Giovanni, 2013. "Efficiency enhancement in IGCC power plants with air-blown gasification and hot gas clean-up," Energy, Elsevier, vol. 53(C), pages 221-229.
    16. Bi, Yuehong & Chen, Lingen & Sun, Fengrui, 2008. "Heating load, heating-load density and COP optimizations of an endoreversible air heat-pump," Applied Energy, Elsevier, vol. 85(7), pages 607-617, July.
    17. Ma, Keyan & Liu, Mingsheng & Zhang, Jili, 2021. "Online optimization method of cooling water system based on the heat transfer model for cooling tower," Energy, Elsevier, vol. 231(C).
    18. Zhang, Lun & Liu, Xiaohua & Jiang, Yi, 2013. "Application of entransy in the analysis of HVAC systems in buildings," Energy, Elsevier, vol. 53(C), pages 332-342.
    19. Xu, Qilong & Wang, Shuai & Luo, Kun & Mu, Yanfei & Pan, Lu & Fan, Jianren, 2023. "Process modelling and optimization of a 250 MW IGCC system: Model setup, validation, and preliminary predictions," Energy, Elsevier, vol. 272(C).
    20. Xu, Yun-Chao & Chen, Qun & Guo, Zeng-Yuan, 2015. "Entransy dissipation-based constraint for optimization of heat exchanger networks in thermal systems," Energy, Elsevier, vol. 86(C), pages 696-708.

    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:appene:v:113:y:2014:i:c:p:982-989. 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/405891/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.