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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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