Single-Objective versus Multiobjective Optimization of Water Distribution Systems Accounting for Greenhouse Gas Emissions by Carbon Pricing

被引:54
作者
Wu, Wenyan [1 ]
Maier, Holger R. [1 ]
Simpson, Angus R. [1 ]
机构
[1] Univ Adelaide, Sch Civil Environm & Min Engn, Adelaide, SA 5005, Australia
来源
JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT-ASCE | 2010年 / 136卷 / 05期
关键词
Water distribution systems; Multiobjective optimization; Genetic algorithms; Greenhouse gas emissions; Sustainability; Carbon dioxide; SCHEDULING PROBLEM; UNCERTAINTY; TIME;
D O I
10.1061/(ASCE)WR.1943-5452.0000072
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Previous 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.
引用
收藏
页码:555 / 565
页数:11
相关论文
共 34 条
[1]  
Ambrose M. D., 2002, 02302 CMIT CSIRO MAN
[2]  
[Anonymous], 1998, EVOLUTIONARY ALGORIT
[3]  
*AUSTR GREENH OFF, 2006, AGO FACT METH WORKB
[4]   Multi-objective pump scheduling optimisation using evolutionary strategies [J].
Barán, B ;
von Lücken, C ;
Sotelo, A .
ADVANCES IN ENGINEERING SOFTWARE, 2005, 36 (01) :39-47
[5]  
Dandy G. C., 2006, P 8 ANN WAT DISTR SY
[6]  
Deb K., 2002, FAST ELITIST MULTIOB
[7]  
Deb K., 2002, Multi-objective optimisation using Evolutionary algorithms
[8]   Time preference in global warming calculations: a proposal for a unified index [J].
Fearnside, PM .
ECOLOGICAL ECONOMICS, 2002, 41 (01) :21-31
[9]   Global warming response options in Brazil's forest sector: Comparison of project-level costs and benefits [J].
Fearnside, PM .
BIOMASS & BIOENERGY, 1995, 8 (05) :309-322
[10]   Impact of Urban Form on Energy Use in Water Distribution Systems [J].
Filion, Y. R. .
JOURNAL OF INFRASTRUCTURE SYSTEMS, 2008, 14 (04) :337-346