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contributor authorWenyan Wu
contributor authorHolger R. Maier
contributor authorAngus R. Simpson
date accessioned2017-05-08T22:03:09Z
date available2017-05-08T22:03:09Z
date copyrightSeptember 2010
date issued2010
identifier other%28asce%29wr%2E1943-5452%2E0000116.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/69924
description abstractPrevious research has demonstrated that there are significant trade-offs between the competing objectives of minimizing costs and greenhouse gas (GHG) emissions for water distribution system (WDS) optimization. However, upon introduction of an emission trading scheme, GHG emissions are likely to be priced at a particular level. Thus, a monetary value can be assigned to GHG emissions, enabling a single-objective optimization approach to be used. This raises the question of whether the introduction of carbon pricing under an emission trading scheme will make the use of a multiobjective optimization approach obsolete or whether such an approach can provide additional insights that are useful in a decision-making context. In this paper, the above questions are explored via two case studies. The optimization results obtained for the two case studies using both single-objective and multiobjective approaches are analyzed. The analyses show that the single-objective approach results in a loss of trade-off information between the two objectives. In contrast, the multiobjective approach provides decision makers with more insight into the trade-offs between the two objectives. As a result, a multiobjective approach is recommended for the optimization of WDSs accounting for GHG emissions when considering carbon pricing.
publisherAmerican Society of Civil Engineers
titleSingle-Objective versus Multiobjective Optimization of Water Distribution Systems Accounting for Greenhouse Gas Emissions by Carbon Pricing
typeJournal Paper
journal volume136
journal issue5
journal titleJournal of Water Resources Planning and Management
identifier doi10.1061/(ASCE)WR.1943-5452.0000072
treeJournal of Water Resources Planning and Management:;2010:;Volume ( 136 ):;issue: 005
contenttypeFulltext


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