Genetic Algorithm Optimization of Operational Costs and Greenhouse Gas Emissions for Water Distribution Systems

被引：17
|
作者：
Blinco, L. J. [1 ,2 ]
Simpson, A. R. [1 ,2 ]
Lambert, M. F. [1 ,2 ]
Auricht, C. A. [3 ]
Hurr, N. E. [1 ]
Tiggemann, S. M. [4 ]
Marchi, A. [1 ]
机构：
[1] Univ Adelaide, Sch Civil Environm & Min Engn, Adelaide, SA 5005, Australia
[2] Cooperat Res Ctr Water Sensit Cities, Clayton, Vic 3800, Australia
[3] South Australian Water Corp, Adelaide, SA 5000, Australia
[4] KPMG, Adelaide, SA 5000, Australia
来源：
16TH WATER DISTRIBUTION SYSTEM ANALYSIS CONFERENCE (WDSA2014): URBAN WATER HYDROINFORMATICS AND STRATEGIC PLANNING | 2014年 / 89卷
关键词：
Genetic algorithm; optimization; pump operation; greenhouse gas emissions; water distribution systems;
D O I：
10.1016/j.proeng.2014.11.246
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
A genetic algorithm (GA) model for water distribution system (WDS) operation has been developed, optimizing pumping by time-based scheduling and tank trigger levels. An important focus was the minimization of operational greenhouse gas (GHG) emissions, in conjunction with operational economic cost, to provide a comprehensive solution to the pumping problem. Various possible future energy scenarios have been investigated to determine the effect of varying GHG emissions factors on the optimal operational decisions for WDSs. The interface developed in this research allows users to apply the optimization algorithm to a variety of water networks with full customization of inputs and parameters. (C) 2014 Published by Elsevier Ltd.
引用
收藏
页码：509 / 516
页数：8
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