Optimal Design of Reverse Osmosis Based Desalination Process with Seasonal Variation of Feed Temperature

摘要

The design of reverse osmosis (RO) networks is investigated here using a mixed-integerrnnon-linear programming (MINLP) approach based on a superstructure. A flexiblernsuperstructure that contains all possible alternatives of a potential RO network wasrndeveloped and was used in the synthesis of RO networks. The networks were designedrnby using DuPont’s B10 Hollow Fiber module. For fixed freshwater demand and quality,rnthe total annualized cost of the RO networks (capital and operating costs) is minimizedrnin order to find the optimal operation and configuration of RO systems for threerndifferent feed concentrations and with seasonal variation of seawater temperature. It isrnfound that seasonal variation in seawater temperature has a significant effect on therndesign and operation of RO systems. Also the results demonstrate that the variation inrnthe number of modules required for the operation of RO process in high and lowrntemperature seasons offers the possibility of flexible scheduling of cleaning andrnmaintenance of membrane modules.