Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/62766
Citations | ||
Scopus | Web of Science® | Altmetric |
---|---|---|
?
|
?
|
Type: | Journal article |
Title: | Single-objective versus multiobjective optimization of water distribution systems accounting for greenhouse gas emissions by carbon pricing |
Author: | Wu, W. Maier, H. Simpson, A. |
Citation: | Journal of Water Resources Planning and Management, 2010; 136(5):555-565 |
Publisher: | ASCE-Amer Soc Civil Engineers |
Issue Date: | 2010 |
ISSN: | 0733-9496 1943-5452 |
Statement of Responsibility: | Wenyan Wu, Holger R. Maier, and Angus R. Simpson |
Abstract: | 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. © 2010 ASCE. |
Keywords: | Water distribution systems Multiobjective optimization Genetic algorithms Greenhouse gas emissions Sustainability Carbon dioxide. |
Rights: | © 2010 ASCE |
DOI: | 10.1061/(ASCE)WR.1943-5452.0000072 |
Published version: | http://dx.doi.org/10.1061/(asce)wr.1943-5452.0000072 |
Appears in Collections: | Aurora harvest 2 Civil and Environmental Engineering publications Environment Institute publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
hdl_62766.pdf | Accepted version | 1.86 MB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.