Koleva, MN; Liu, S; Styan, CA; Papageorgiou, LG; (2016) Multi-objective Optimisation Approach for the Synthesis of Water Treatment Plants. In: Kravanja, Z and Bogataj, M, (eds.) 26th European Symposium on Computer Aided Process Engineering. (pp. pp. 2379-2384). Elsevier

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Abstract

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

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