IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v84y2009i7-8p749-762.html
   My bibliography  Save this article

Fuzzy thermoeconomic optimization of energy-transforming systems

Author

Listed:
  • Mazur, V.

Abstract

We have developed a new approach for thermoeconomic analysis of energy-transforming systems based on the sequential uncertainty account to make decisions that simultaneously meet thermodynamic and economic goals. Thermoeconomic optimization has been considered as a fuzzy non-linear programming problem in which local criteria: maximum energy (exergy) efficiency and minimum total cost rate as well as different constraints in an ill-structured situation can be represented by fuzzy sets. The trade-off or the Pareto domain, where the value of a thermodynamic criterion cannot be improved without the value of economic criterion being worsened, has been considered as a first step of optimization strategy. The Bellman-Zadeh model, as the intersection of all fuzzy criteria and constraints, has been used for a final decision-making. Case studies of fuzzy thermoeconomic analysis application have been presented.

Suggested Citation

  • Mazur, V., 2009. "Fuzzy thermoeconomic optimization of energy-transforming systems," Applied Energy, Elsevier, vol. 84(7-8), pages 749-762, July.
    • Handle: RePEc:eee:appene:v:84:y:2009:i:7-8:p:749-762
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306-2619(07)00009-8
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    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. R. E. Bellman & L. A. Zadeh, 1970. "Decision-Making in a Fuzzy Environment," Management Science, INFORMS, vol. 17(4), pages 141-164, December.
    2. 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.
    3. Tsatsaronis, George & Pisa, Javier, 1994. "Exergoeconomic evaluation and optimization of energy systems — application to the CGAM problem," Energy, Elsevier, vol. 19(3), pages 287-321.
    4. Valero, Antonio & Lozano, Miguel A. & Serra, Luis & Tsatsaronis, George & Pisa, Javier & Frangopoulos, Christos & von Spakovsky, Michael R., 1994. "CGAM problem: Definition and conventional solution," Energy, Elsevier, vol. 19(3), pages 279-286.
    5. 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.
    6. Valero, A. & Lozano, M.A. & Serra, L. & Torres, C., 1994. "Application of the exergetic cost theory to the CGAM problem," Energy, Elsevier, vol. 19(3), pages 365-381.
    Full references (including those not matched with items on IDEAS)

    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. Sayyaadi, Hoseyn & Babaie, Meisam & Farmani, Mohammad Reza, 2011. "Implementing of the multi-objective particle swarm optimizer and fuzzy decision-maker in exergetic, exergoeconomic and environmental optimization of a benchmark cogeneration system," Energy, Elsevier, vol. 36(8), pages 4777-4789.
    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. 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.
    4. 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.
    5. 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.
    6. Sayyaadi, Hoseyn, 2009. "Multi-objective approach in thermoenvironomic optimization of a benchmark cogeneration system," Applied Energy, Elsevier, vol. 86(6), pages 867-879, June.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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).
    13. 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.
    14. 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.
    15. Lamas, Wendell de Queiróz, 2017. "Exergo-economic analysis of a typical wind power system," Energy, Elsevier, vol. 140(P1), pages 1173-1181.
    16. Sahu, Mithilesh Kumar & Sanjay,, 2017. "Comparative exergoeconomic analysis of basic and reheat gas turbine with air film blade cooling," Energy, Elsevier, vol. 132(C), pages 160-170.
    17. Xiong, Jie & Zhao, Haibo & Zhang, Chao & Zheng, Chuguang & Luh, Peter B., 2012. "Thermoeconomic operation optimization of a coal-fired power plant," Energy, Elsevier, vol. 42(1), pages 486-496.
    18. Sayyaadi, Hoseyn & Baghsheikhi, Mostafa, 2018. "Developing a novel methodology based on the adaptive neuro-fuzzy interference system for the exergoeconomic optimization of energy systems," Energy, Elsevier, vol. 164(C), pages 218-235.
    19. Kim, D.J., 2010. "A new thermoeconomic methodology for energy systems," Energy, Elsevier, vol. 35(1), pages 410-422.
    20. Nondy, J. & Gogoi, T.K., 2021. "Performance comparison of multi-objective evolutionary algorithms for exergetic and exergoenvironomic optimization of a benchmark combined heat and power system," Energy, Elsevier, vol. 233(C).

    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:84:y:2009:i:7-8:p:749-762. 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.