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Fuzzy thermoeconomic optimization of energy-transforming systems

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  • 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
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    References listed on IDEAS

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    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. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
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