Many-objective optimization and visual analytics reveal key trade-offs for London's water supply

JOURNAL OF HYDROLOGY

卷:531

Article

Matrosov, Evgenii S.^1,2  Huskova, Ivana²  Kasprzyk, Joseph R.³  Harou, Julien J.^1,2  Lambert, Chris⁴  Reed, Patrick M.^4,5 

[1] Univ Manchester, Sch Mech Aerosp & Civil Engn, Manchester M13 9PL, Lancs, England

[2] UCL, Dept Civil Environm & Geomat Engn, London WC1E 6BT, England

[3] Univ Colorado, Dept Civil Environm & Architectural Engn, Boulder, CO 80309 USA

[4] Thames Water, Reading RG1 8DB, Berks, England

[5] Cornell Univ, Sch Civil & Environm Engn, Ithaca, NY 14853 USA

关键词: Trade-off analysis and visualization;    Multi-criteria decision-making;    Water resources planning;    Infrastructure system design;    Evolutionary multi-objective optimization;   

DOI  :  10.1016/j.jhydrol.2015.11.003

来源: Elsevier

【 摘 要 】

In this study, we link a water resource management simulator to multi-objective search to reveal the key trade-offs inherent in planning a real-world water resource system. We consider new supplies and demand management (conservation) options while seeking to elucidate the trade-offs between the best portfolios of schemes to satisfy projected water demands. Alternative system designs are evaluated using performance measures that minimize capital and operating costs and energy use while maximizing resilience, engineering and environmental metrics, subject to supply reliability constraints. Our analysis shows many-objective evolutionary optimization coupled with state-of-the art visual analytics can help planners discover more diverse water supply system designs and better understand their inherent trade-offs. The approach is used to explore future water supply options for the Thames water resource system (including London's water supply). New supply options include a new reservoir, water transfers, artificial recharge, wastewater reuse and brackish groundwater desalination. Demand management options include leakage reduction, compulsory metering and seasonal tariffs. The Thames system's Pareto approximate portfolios cluster into distinct groups of water supply options; for example implementing a pipe refurbishment program leads to higher capital costs but greater reliability. This study highlights that traditional least-cost reliability constrained design of water supply systems masks asset combinations whose benefits only become apparent when more planning objectives are considered. (C) 2015 The Authors. Published by Elsevier B.V.

【 授权许可】

Free