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

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

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...

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Main Authors: Jian Wang, Xiaolong Wang, Aipeng Jiang, Shu Jiangzhou, Ping Li
Format: Article
Language:English
Published: Hindawi Limited 2014-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2014/584068
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spelling doaj-f2175be7d1834630ace57aac04baf3a72020-11-24T22:08:23ZengHindawi LimitedThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/584068584068Operational Optimization of Large-Scale Parallel-Unit SWRO Desalination Plant Using Differential Evolution AlgorithmJian Wang0Xiaolong Wang1Aipeng Jiang2Shu Jiangzhou3Ping Li4School of Aeronautics and Astronautics, Zhejiang University, Hangzhou 310027, ChinaInstitute of Energy Utilization & Automation, Hangzhou Dianzi University, Hangzhou 310018, ChinaInstitute of Energy Utilization & Automation, Hangzhou Dianzi University, Hangzhou 310018, ChinaInstitute of Energy Utilization & Automation, Hangzhou Dianzi University, Hangzhou 310018, ChinaSchool of Aeronautics and Astronautics, Zhejiang University, Hangzhou 310027, ChinaA 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.http://dx.doi.org/10.1155/2014/584068
collection DOAJ
language English
format Article
sources DOAJ
author Jian Wang
Xiaolong Wang
Aipeng Jiang
Shu Jiangzhou
Ping Li
spellingShingle Jian Wang
Xiaolong Wang
Aipeng Jiang
Shu Jiangzhou
Ping Li
Operational Optimization of Large-Scale Parallel-Unit SWRO Desalination Plant Using Differential Evolution Algorithm
The Scientific World Journal
author_facet Jian Wang
Xiaolong Wang
Aipeng Jiang
Shu Jiangzhou
Ping Li
author_sort Jian Wang
title Operational Optimization of Large-Scale Parallel-Unit SWRO Desalination Plant Using Differential Evolution Algorithm
title_short Operational Optimization of Large-Scale Parallel-Unit SWRO Desalination Plant Using Differential Evolution Algorithm
title_full Operational Optimization of Large-Scale Parallel-Unit SWRO Desalination Plant Using Differential Evolution Algorithm
title_fullStr Operational Optimization of Large-Scale Parallel-Unit SWRO Desalination Plant Using Differential Evolution Algorithm
title_full_unstemmed Operational Optimization of Large-Scale Parallel-Unit SWRO Desalination Plant Using Differential Evolution Algorithm
title_sort operational optimization of large-scale parallel-unit swro desalination plant using differential evolution algorithm
publisher Hindawi Limited
series The Scientific World Journal
issn 2356-6140
1537-744X
publishDate 2014-01-01
description 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.
url http://dx.doi.org/10.1155/2014/584068
work_keys_str_mv AT jianwang operationaloptimizationoflargescaleparallelunitswrodesalinationplantusingdifferentialevolutionalgorithm
AT xiaolongwang operationaloptimizationoflargescaleparallelunitswrodesalinationplantusingdifferentialevolutionalgorithm
AT aipengjiang operationaloptimizationoflargescaleparallelunitswrodesalinationplantusingdifferentialevolutionalgorithm
AT shujiangzhou operationaloptimizationoflargescaleparallelunitswrodesalinationplantusingdifferentialevolutionalgorithm
AT pingli operationaloptimizationoflargescaleparallelunitswrodesalinationplantusingdifferentialevolutionalgorithm
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