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Centralized and Decentralized Approaches to Water Demand Management

Author

Listed:
  • Yi Xiao

    (Department of Systems Design Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada)

  • Liping Fang

    (Department of Systems Design Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada
    Department of Mechanical and Industrial Engineering, Ryerson University, Toronto, ON M5B 2K3, Canada)

  • Keith W. Hipel

    (Department of Systems Design Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada
    Centre for International Governance Innovation, Waterloo, ON N2L 6C2, Canada
    Balsillie School of International Affairs, Waterloo, ON N2L 6C2, Canada)

Abstract

Centralized and decentralized procedures to assess the impacts of water demand management on a water system and its users are investigated and compared. Within the centralized approach, a system-wide optimization technique is firstly utilized to estimate the overall optimal net benefits when the water demand management initiatives are implemented. Cooperative game-theoretic methods are used to fairly redistribute the additional net benefits. In terms of the decentralized perspective, an agent-based modelling framework is adopted to permit each user to make independent decisions on whether to conserve water or consume extra water and how much to conserve or consume by solving individual optimization problems. For comparison purposes, both the centralized and decentralized approaches are applied to a case study reflecting an actual situation in the South Saskatchewan River basin in Alberta, Canada. Both methods provide positive incentives to encourage users to conserve water while maintaining at least the same level of economic benefits such that system-wide productivity is improved. Moreover, the study demonstrates that the centralized method produces greater overall net benefits, but the users may be less motivated to participate.

Suggested Citation

  • Yi Xiao & Liping Fang & Keith W. Hipel, 2018. "Centralized and Decentralized Approaches to Water Demand Management," Sustainability, MDPI, vol. 10(10), pages 1-16, September.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:10:p:3466-:d:172568
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    References listed on IDEAS

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    Cited by:

    1. Yang Zhou & Bo Yang & Jingcheng Han & Yuefei Huang, 2018. "Robust Linear Programming and Its Application to Water and Environmental Decision-Making under Uncertainty," Sustainability, MDPI, vol. 11(1), pages 1-12, December.
    2. Tesfaye Woldeyohanes & Arnim Kuhn & Thomas Heckelei & Lalisa Duguma, 2021. "Modeling Non-Cooperative Water Use in River Basins," Sustainability, MDPI, vol. 13(15), pages 1-21, July.

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