Abstract
In this paper, we present a systematic technique for the optimal design and scheduling of flexible reverse osmosis networks that can accommodate a given range of potential variations in the characteristics of the feed and system performance. Flexibility provisions are made to allow the system to meet operational tasks as performance declines due to membrane fouling and scaling. In addition to designing the system, decisions are made regarding the scheduling of maintenance. The design technique is based on formulating the problem as a mixed-integer nonlinear programming (MINLP) problem whose objective is to minimize the total annualized cost, while incorporating thermodynamic, technical and flexibility constraints. An iterative solution procedure is proposed to implement the mathematical programming problem. The merits of the proposed strategy procedure is illustrated by solving an industrial case study.
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