Abstract
A multi-effect desalination–thermal vapor compression (MED–TVC) system consuming the waste heat from the gas power plant of the Sarcheshmeh Copper Complex is designed and optimized by a new approach that integrates two environments: a MATLAB simulator and macros for economic analysis. A heat recovery steam generator (HRSG) is used to supply the required heat for steam generation while harvesting the waste heat. The HRSG and MED–TVC systems are simulated using MATLAB, and their economic analysis is conducted using DEEP software. The gain output ratio (GOR) and the total annual cost of desalination are considered as the objective functions in a multi-objective optimization to achieve the highest GOR and the lowest total annual cost simultaneously. The multi-objective optimization is performed using nondominated sorting genetic algorithm-II (NSGA II). It is found that the heating steam temperature is more affected by the GOR than the other decision variables.
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