Multi-objective Optimization Design for MVR Salt Fractionation System
To solve the problem that single-objective optimization of the mechanical vapor re-compression salt fractionation system is difficult to meet the practical production requirement,the strength pareto evolutionary algorithm 2(SPEA2)was adopted for multi-objective optimization de-sign of the system.Based on the effect of operating variables on the comprehensive performance of the system,a multi-objective optimization model was established,where total heat transfer area and total power consumption were taken as the optimization objectives and compression tempera-ture rise and evaporation temperature were taken as the optimization variables.The multi-objective optimization model was solved by SPEA2,and the optimal solution combination was determined based on engineering fuzzy set theory.The results show that the total heat transfer area is re-duced by 77.86 m2,and the total power consumption is lowered by 16.45 kW.The coefficient of performance(COP)is increased by 8.32％,and the unit power consumption is decreased by 5.35％.Meanwhile,the exergy efficiency is heightened by 9.63％,and the exergy loss is lowered by 4.31％.It indicates that the multi-objective optimization design further improves the energy-saving efficiency and thermodynamic perfection of the MVR salt fractionation system.
mechanical vapor recompression(MVR)multi-objective optimizationSPEA2 algo-rithmPareto optimal front
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