A Dynamic Optimization Strategy for the Operation of Large Scale Seawater Reverses Osmosis System

In this work, an efficient strategy was proposed for efficient solution of the dynamic model of SWRO system. Since the dynamic model is formulated by a set of differential-algebraic equations, simultaneous strategies based on collocations on finite element were used to transform the DAOP into large...

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Main Authors: Aipeng Jiang, Jian Wang, Wen Cheng, Changxin Xing, Shu Jiangzhou
Format: Article
Language:English
Published: Hindawi Limited 2014-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2014/635434
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spelling doaj-1711f6c603e24a9991ccbfc8cbd535182020-11-24T23:30:09ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472014-01-01201410.1155/2014/635434635434A Dynamic Optimization Strategy for the Operation of Large Scale Seawater Reverses Osmosis SystemAipeng Jiang0Jian Wang1Wen Cheng2Changxin Xing3Shu Jiangzhou4School of Automation, Hangzhou Dianzi University, Hangzhou, Zhejiang 310018, ChinaSchool of Automation, Hangzhou Dianzi University, Hangzhou, Zhejiang 310018, ChinaSchool of Automation, Hangzhou Dianzi University, Hangzhou, Zhejiang 310018, ChinaSchool of Automation, Hangzhou Dianzi University, Hangzhou, Zhejiang 310018, ChinaSchool of Automation, Hangzhou Dianzi University, Hangzhou, Zhejiang 310018, ChinaIn this work, an efficient strategy was proposed for efficient solution of the dynamic model of SWRO system. Since the dynamic model is formulated by a set of differential-algebraic equations, simultaneous strategies based on collocations on finite element were used to transform the DAOP into large scale nonlinear programming problem named Opt2. Then, simulation of RO process and storage tanks was carried element by element and step by step with fixed control variables. All the obtained values of these variables then were used as the initial value for the optimal solution of SWRO system. Finally, in order to accelerate the computing efficiency and at the same time to keep enough accuracy for the solution of Opt2, a simple but efficient finite element refinement rule was used to reduce the scale of Opt2. The proposed strategy was applied to a large scale SWRO system with 8 RO plants and 4 storage tanks as case study. Computing result shows that the proposed strategy is quite effective for optimal operation of the large scale SWRO system; the optimal problem can be successfully solved within decades of iterations and several minutes when load and other operating parameters fluctuate.http://dx.doi.org/10.1155/2014/635434
collection DOAJ
language English
format Article
sources DOAJ
author Aipeng Jiang
Jian Wang
Wen Cheng
Changxin Xing
Shu Jiangzhou
spellingShingle Aipeng Jiang
Jian Wang
Wen Cheng
Changxin Xing
Shu Jiangzhou
A Dynamic Optimization Strategy for the Operation of Large Scale Seawater Reverses Osmosis System
Mathematical Problems in Engineering
author_facet Aipeng Jiang
Jian Wang
Wen Cheng
Changxin Xing
Shu Jiangzhou
author_sort Aipeng Jiang
title A Dynamic Optimization Strategy for the Operation of Large Scale Seawater Reverses Osmosis System
title_short A Dynamic Optimization Strategy for the Operation of Large Scale Seawater Reverses Osmosis System
title_full A Dynamic Optimization Strategy for the Operation of Large Scale Seawater Reverses Osmosis System
title_fullStr A Dynamic Optimization Strategy for the Operation of Large Scale Seawater Reverses Osmosis System
title_full_unstemmed A Dynamic Optimization Strategy for the Operation of Large Scale Seawater Reverses Osmosis System
title_sort dynamic optimization strategy for the operation of large scale seawater reverses osmosis system
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2014-01-01
description In this work, an efficient strategy was proposed for efficient solution of the dynamic model of SWRO system. Since the dynamic model is formulated by a set of differential-algebraic equations, simultaneous strategies based on collocations on finite element were used to transform the DAOP into large scale nonlinear programming problem named Opt2. Then, simulation of RO process and storage tanks was carried element by element and step by step with fixed control variables. All the obtained values of these variables then were used as the initial value for the optimal solution of SWRO system. Finally, in order to accelerate the computing efficiency and at the same time to keep enough accuracy for the solution of Opt2, a simple but efficient finite element refinement rule was used to reduce the scale of Opt2. The proposed strategy was applied to a large scale SWRO system with 8 RO plants and 4 storage tanks as case study. Computing result shows that the proposed strategy is quite effective for optimal operation of the large scale SWRO system; the optimal problem can be successfully solved within decades of iterations and several minutes when load and other operating parameters fluctuate.
url http://dx.doi.org/10.1155/2014/635434
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