Evaluating the Environmental Impacts of Water Distribution Systems by Using EIO-LCA-Based Multiobjective Optimization
Evaluating the Environmental Impacts of Water Distribution Systems by Using EIO-LCA-Based Multiobjective Optimization
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DOI：
10.1061/(asce)wr.1943-5452.0000101
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发表时间：
2011-03
影响因子：
3.1
通讯作者：
L. Herstein;Y. Filion;K. Hall
中科院分区：
文献类型：
--
作者：
L. Herstein;Y. Filion;K. Hall
气候变化使环境影响成为市政决策中日益重要的因素。越来越多地，扩大和运行配水系统（WDS）的环境影响被认为是与成本和水力设计。本文提出了一种非支配排序遗传算法（NSGA-II），最大限度地减少资本成本，每年的抽水能源的使用，并在水分配系统的设计，坚持水力约束的环境影响。先前开发的环境影响（EI）指数包括在优化程序的环境目标函数。EI指数将通过经济投入产出生命周期评估（EIO-LCA）模型评估的多项环境指标进行标准化和汇总。基于EIO-LCA的NSGA-II应用于Anytown网络。年抽水能耗对EI指数起主导作用，而投资成本与EI指数呈负相关，且年抽水能耗与EI指数呈近似线性关系。
Climate change has made environmental impact a factor of growing importance in decision making for municipalities. Increasingly, the environmental impacts of expanding and operating a water distribution system (WDS) are considered alongside the cost and hydraulic design. This paper presents a nondominated sorting genetic algorithm (NSGA-II) that minimizes capital costs, annual pumping energy use, and environmental impacts in WDS design that adheres to hydraulic constraints. A previously developed environmental impact (EI) index is included in the environmental objective function of the optimization program. The EI index normalizes and aggregates multiple environmental measures evaluated with an economic input-output life-cycle assessment (EIO-LCA) model. The EIO-LCA-based NSGA-II was applied to the Anytown network. Annual pumping energy use was found to dominate the EI index while capital cost and the EI index were inversely related, and the annual pumping energy use and the EI index followed a near linea...