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...
| Publicado en: | Scientific World Journal pp. 584068 - 584069 |
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| Autores principales: | , , , , |
| Formato: | research Journal Article |
| Publicado: |
Wiley-Blackwell
2014
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=103816458&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 103816458 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 1537744X 1BX5 jtl: Scientific World Journal issn: 1537744X maglogo: N pubinfo: dt: 2014 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 103816458 103816458 NLM24701180 2012535264 10.1155/2014/584068 NLM24701180 PMC3948477 103816458 ppf: 584068 ppct: 1 formats: tig: atl: Operational optimization of large-scale parallel-unit SWRO desalination plant using differential evolution algorithm. aug: au: Wang, Jian Wang, Xiaolong Jiang, Aipeng Jiangzhou, Shu Li, Ping affil: School of Aeronautics and Astronautics, Zhejiang University, Hangzhou 310027, China ; Institute of Energy Utilization & Automation, Hangzhou Dianzi University, Hangzhou 310018, China. sug: subj: Algorithms Osmolar Concentration Sodium Chloride Water Supply Methods Models, Theoretical Osmosis ab: 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. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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