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The Scientific World Journal
Volume 2014 (2014), Article ID 584068, 13 pages
Research Article

Operational Optimization of Large-Scale Parallel-Unit SWRO Desalination Plant Using Differential Evolution Algorithm

1School of Aeronautics and Astronautics, Zhejiang University, Hangzhou 310027, China
2Institute of Energy Utilization & Automation, Hangzhou Dianzi University, Hangzhou 310018, China

Received 15 November 2013; Accepted 30 December 2013; Published 17 February 2014

Academic Editors: Z. Cui and X. Yang

Copyright © 2014 Jian Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


A large-scale parallel-unit seawater reverse osmosis desalination plant contains many reverse osmosis (RO) units. If the operating conditions change, these RO units will not work at the optimal design points which are computed before the plant is built. The operational optimization problem (OOP) of the plant is to find out a scheduling of operation to minimize the total running cost when the change happens. In this paper, the OOP is modelled as a mixed-integer nonlinear programming problem. A two-stage differential evolution algorithm is proposed to solve this OOP. Experimental results show that the proposed method is satisfactory in solution quality.