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Pareto-optimization of MSF-OT/TVC desalination plant using surface response methodology and genetic algorithm

This paper describes an optimization approach of a novel configuration of a once-through multistage flash (MSF-OT) desalination plant. The system integrates a thermal vapor compression (TVC) unit within the conventional MSF-OT configuration. Three objectives controlling the operating cost of the installation were considered. The first is to maximize plant capacity production. The second is to minimize thermal energy consumption. The third is to minimize the feed seawater flow rate, which reduces electrical energy and chemical additives consumption. Solving the multi-objective optimization problem, using solvers of MATLAB software, led to obtaining a large number of optimal operating parameters of the MSF-OT/TVC plant. The comparison between the current operating state of the desalting installation using the MSF-OT process, and optimal operating states of the studied installation, showed a significant improvement in parameters controlling the operating cost of the installation. This improvement corresponded to a reduction of feed flow rate and motive steam flow rate of 23% and 7.3%, respectively.