Abstract
The method and results of 4E (energy, exergy, economic and environmental) analysis and multi-objective optimization for a gas turbine, heat recovery steam generator and multi-effect thermal vapour compression desalination unit are investigated in this article. To optimize the system and to determine the optimal values of design parameters, the genetic algorithm was used. The first objective function was considered as the sum of investment and operational costs as well as penalty for producing
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