Game-theory approach for multi-objective optimal design of stationary flat-plate solar collectors

Research output: Contribution to journalArticle

20 Scopus citations

Abstract

A game-theory approach has been used for the multi-objective optimum design of stationary flat-plate solar collectors. The clear-day solar-beam radiation and diffuse radiation at the location of the solar collector (Miami) are estimated. Three objectives are considered in the optimization-problem formulation: maximization of the annual average incident solar energy; maximization of the lowest month incident solar energy; and minimization of costs. The game-theory methodology is used for the solution of the three objective-constrained optimization problems to find a balanced solution. This solution represents the best compromise in terms of the super-criterion selected. Two types of sensitivity analyses are conducted on the optimum solution in this work. The sensitivity analysis with respect to the design variables indicates which design valuables are more important to different objective functions. The sensitivity analysis with respect to the solar constant shows that small fluctuations of solar constant experienced in practice affect the various objectives very little, thereby indicating that the mathematical model is robust. This work represents the first work aimed at the application of multi-objective optimization strategy, particularly the game theory approach, for the solution of the solar collector design problem.

Original languageEnglish (US)
Pages (from-to)1017-1035
Number of pages19
JournalEngineering Optimization
Volume41
Issue number11
DOIs
StatePublished - Nov 1 2009

Keywords

  • Flat-plate solar collector
  • Game theory approach
  • Optimization design
  • Solar energy

ASJC Scopus subject areas

  • Control and Optimization
  • Industrial and Manufacturing Engineering
  • Applied Mathematics
  • Computer Science Applications
  • Management Science and Operations Research

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