IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v26y2001i5p493-512.html
   My bibliography  Save this article

Thermodynamic optimization of geometric structure in the counterflow heat exchanger for an environmental control system

Author

Listed:
  • Shiba, T.
  • Bejan, A.

Abstract

This paper shows that the internal geometric configuration of a component can be deduced by optimizing the global performance of the installation that uses the component. The example chosen is the counterflow heat exchanger that serves as condenser in a vapor-compression-cycle refrigeration system for environmental control of aircraft. The optimization of global performance is achieved by minimizing the total power requirement or the total entropy generation rate. There are three degrees of freedom in the heat exchanger configuration, which is subjected to two global constraints: total volume, and total volume (or weight) of wall-material. Numerical results show how the optimal configuration responds to changes in specified external parameters such as refrigeration load, fan efficiency, and volume and weight. In accordance with constructal theory and design [1], it is shown that the optimal configuration is robust: major features such as the ratio of diameters and the flow length are relatively insensitive to changes in the external parameters.

Suggested Citation

  • Shiba, T. & Bejan, A., 2001. "Thermodynamic optimization of geometric structure in the counterflow heat exchanger for an environmental control system," Energy, Elsevier, vol. 26(5), pages 493-512.
    • Handle: RePEc:eee:energy:v:26:y:2001:i:5:p:493-512
    DOI: 10.1016/S0360-5442(01)00011-1
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544201000111
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/S0360-5442(01)00011-1?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. von Spakovsky, Michael R., 1994. "Application of engineering functional analysis to the analysis and optimization of the CGAM problem," Energy, Elsevier, vol. 19(3), pages 343-364.
    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. Le Roux, W.G. & Bello-Ochende, T. & Meyer, J.P., 2012. "Optimum performance of the small-scale open and direct solar thermal Brayton cycle at various environmental conditions and constraints," Energy, Elsevier, vol. 46(1), pages 42-50.
    2. Ordonez, Juan Carlos & Bejan, Adrian, 2003. "Minimum power requirement for environmental control of aircraft," Energy, Elsevier, vol. 28(12), pages 1183-1202.
    3. Sciacovelli, A. & Verda, V. & Sciubba, E., 2015. "Entropy generation analysis as a design tool—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 1167-1181.
    4. Revellin, Rémi & Lips, Stéphane & Khandekar, Sameer & Bonjour, Jocelyn, 2009. "Local entropy generation for saturated two-phase flow," Energy, Elsevier, vol. 34(9), pages 1113-1121.
    5. Le Roux, W.G. & Bello-Ochende, T. & Meyer, J.P., 2013. "A review on the thermodynamic optimisation and modelling of the solar thermal Brayton cycle," Renewable and Sustainable Energy Reviews, Elsevier, vol. 28(C), pages 677-690.
    6. Le Roux, W.G. & Bello-Ochende, T. & Meyer, J.P., 2011. "Operating conditions of an open and direct solar thermal Brayton cycle with optimised cavity receiver and recuperator," Energy, Elsevier, vol. 36(10), pages 6027-6036.
    7. Nunes, T.K. & Vargas, J.V.C. & Ordonez, J.C. & Shah, D. & Martinho, L.C.S., 2015. "Modeling, simulation and optimization of a vapor compression refrigeration system dynamic and steady state response," Applied Energy, Elsevier, vol. 158(C), pages 540-555.

    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. Sahu, Mithilesh Kumar & Sanjay,, 2017. "Comparative exergoeconomics of power utilities: Air-cooled gas turbine cycle and combined cycle configurations," Energy, Elsevier, vol. 139(C), pages 42-51.
    2. Abusoglu, Aysegul & Kanoglu, Mehmet, 2009. "Exergoeconomic analysis and optimization of combined heat and power production: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(9), pages 2295-2308, December.
    3. Mazur, V., 2009. "Fuzzy thermoeconomic optimization of energy-transforming systems," Applied Energy, Elsevier, vol. 84(7-8), pages 749-762, July.
    4. Li, Hongtao & Marechal, Francois & Favrat, Daniel, 2010. "Power and cogeneration technology environomic performance typification in the context of CO2 abatement part I: Power generation," Energy, Elsevier, vol. 35(8), pages 3143-3154.
    5. Sahu, Mithilesh Kumar & Sanjay,, 2016. "Investigation of the effect of air film blade cooling on thermoeconomics of gas turbine based power plant cycle," Energy, Elsevier, vol. 115(P1), pages 1320-1330.
    6. Ramin Ghiami Sardroud & Amirreza Javaherian & Seyed Mohammad Seyed Mahmoudi & Mehri Akbari Kordlar & Marc A. Rosen, 2023. "Proposal and Comprehensive Analysis of a Novel Combined Plant with Gas Turbine and Organic Flash Cycles: An Application of Multi-Objective Optimization," Sustainability, MDPI, vol. 15(19), pages 1-40, September.
    7. Valero, Antonio & Usón, Sergio & Torres, César & Valero, Alicia & Agudelo, Andrés & Costa, Jorge, 2013. "Thermoeconomic tools for the analysis of eco-industrial parks," Energy, Elsevier, vol. 62(C), pages 62-72.
    8. Sahu, Mithilesh Kumar & Sanjay,, 2017. "Thermoeconomic investigation of power utilities: Intercooled recuperated gas turbine cycle featuring cooled turbine blades," Energy, Elsevier, vol. 138(C), pages 490-499.
    9. Toffolo, A. & Lazzaretto, A., 2002. "Evolutionary algorithms for multi-objective energetic and economic optimization in thermal system design," Energy, Elsevier, vol. 27(6), pages 549-567.
    10. Kler, Aleksandr M. & Potanina, Yulia M. & Marinchenko, Andrey Y., 2020. "Co-optimization of thermal power plant flowchart, thermodynamic cycle parameters, and design parameters of components," Energy, Elsevier, vol. 193(C).
    11. Haydargil, Derya & Abuşoğlu, Ayşegül, 2018. "A comparative thermoeconomic cost accounting analysis and evaluation of biogas engine-powered cogeneration," Energy, Elsevier, vol. 159(C), pages 97-114.
    12. Jixuan Wang & Wensheng Liu & Xin Meng & Xiaozhen Liu & Yanfeng Gao & Zuodong Yu & Yakai Bai & Xin Yang, 2020. "Study on the Coupling Effect of a Solar-Coal Unit Thermodynamic System with Carbon Capture," Energies, MDPI, vol. 13(18), pages 1-14, September.
    13. Rosseto de Faria, Pedro & Aiolfi Barone, Marcelo & Guedes dos Santos, Rodrigo & Santos, José Joaquim C.S., 2023. "The environment as a thermoeconomic diagram device for the systematic and automatic waste and environmental cost internalization in thermal systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 171(C).
    14. Lamas, Wendell de Queiroz, 2013. "Fuzzy thermoeconomic optimisation applied to a small waste water treatment plant," Renewable and Sustainable Energy Reviews, Elsevier, vol. 19(C), pages 214-219.
    15. Lazzaretto, A. & Toffolo, A., 2004. "Energy, economy and environment as objectives in multi-criterion optimization of thermal systems design," Energy, Elsevier, vol. 29(8), pages 1139-1157.
    16. Ahmadi, Pouria & Dincer, Ibrahim, 2010. "Exergoenvironmental analysis and optimization of a cogeneration plant system using Multimodal Genetic Algorithm (MGA)," Energy, Elsevier, vol. 35(12), pages 5161-5172.
    17. Bargos, Fabiano Fernandes & Lamas, Wendell de Queiróz & Bilato, Gabriel Adam, 2018. "Computational tools and operational research for optimal design of co-generation systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 507-516.
    18. Karaali, Rabi & Öztürk, İlhan Tekin, 2015. "Thermoeconomic optimization of gas turbine cogeneration plants," Energy, Elsevier, vol. 80(C), pages 474-485.
    19. Piacentino, Antonio & Cardona, Ennio, 2010. "Scope Oriented Thermoeconomic analysis of energy systems. Part II: Formation Structure of Optimality for robust design," Applied Energy, Elsevier, vol. 87(3), pages 957-970, March.
    20. Lamas, Wendell de Queiróz, 2017. "Exergo-economic analysis of a typical wind power system," Energy, Elsevier, vol. 140(P1), pages 1173-1181.

    More about this item

    Statistics

    Access and download statistics

    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:energy:v:26:y:2001:i:5:p:493-512. 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.journals.elsevier.com/energy .

    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.