Multi-objective Optimisation Approach for the Synthesis of Water Treatment Plants

摘要: More efficient water treatment plants are needed if future global requirements going to be met. Plant design, however, is complicated by the need optimise separate but linked processes, with individual process optima not necessarily leading most overall systems. In this work, a superstructure optimisation-based methodology for flowsheet synthesis proposed. The problem formulated as mixed integer non-linear programming (MINLP) model. encompasses commonly used technologies (coagulation-flocculation, sedimentation, dissolved air flotation, media filtration, microfiltration, ultrafiltration, nanofiltration, reverse osmosis) in treatment, advanced wastewater and desalination, which enables design of fit-for-purpose treatment. Physico-chemical characteristics (e.g. pressure, temperature, hydrophobicity, mixing gradient, etc.) candidates allow prediction their technical economic performance. model identifies optimum configuration passes stages flow diagram capital costs estimation. A multi-objective optimisation performed minimisation net cost contaminants concentrations using e − constraint method. applicability verified through theoretical case study. computational results fall into lower margin purification facilities worldwide indicate effectiveness efficiency developed approach.