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Effectiveness and Efficiency of Scheduling Regional Water Resources Projects

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  • Frederick Chou
  • Hao-Chih Lee
  • William Yeh

Abstract

The regional water resources planning contains a variety of proposed projects. Precisely estimating the regional system yield could be difficult. Incorrectly computed system yield will cause the scheduling strategy to be not correctly screened. This research imbedded a combined regional simulation-optimization model, namely Generalized Water Allocation Simulation Model (GWASIM), for evaluating system yield in binary dynamic programming (DP) analysis as a scheduling model to determine the optimal development strategy of the master plan of a regional water supply system. To achieve a complete scheduling analysis, this paper investigated: (1) applying GWASIM to effectively and efficiently determine the precise system yields of many different combinations of proposed projects while meeting design criteria of acceptable shortage; (2) solving a non-pure sequencing problem with a DP based scheduling model since some projects may not be necessarily developed, or even no feasible combination of proposed projects can meet the demand; (3) clarifying the amortized construction cost to be accounted in economic analysis if the economic life of a project exceeds the scheduling horizon. In addition, the computation efficiencies of scheduling analysis and system yield analysis, which are significantly improved with DP and simulation-optimization model respectively, are discussed in the paper. This study devised the master plan of the Jilong river system in northern Taiwan as an example. The optimal scheduling strategy of minimum developing cost was precisely determined. Copyright Springer Science+Business Media Dordrecht 2013

Suggested Citation

  • Frederick Chou & Hao-Chih Lee & William Yeh, 2013. "Effectiveness and Efficiency of Scheduling Regional Water Resources Projects," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(3), pages 665-693, February.
    • Handle: RePEc:spr:waterr:v:27:y:2013:i:3:p:665-693
    DOI: 10.1007/s11269-012-0208-9
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    References listed on IDEAS

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    1. B. Luo & I. Maqsood & G. Huang, 2007. "Planning water resources systems with interval stochastic dynamic programming," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 21(6), pages 997-1014, June.
    2. Rahim Quazi, 2001. "Strategic Water Resources Planning: A Case Study of Bangladesh," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 15(3), pages 165-186, June.
    3. Donald Erlenkotter, 1973. "Sequencing Expansion Projects," Operations Research, INFORMS, vol. 21(2), pages 542-553, April.
    4. Hanan Luss, 1982. "Operations Research and Capacity Expansion Problems: A Survey," Operations Research, INFORMS, vol. 30(5), pages 907-947, October.
    5. D. Haro & J. Paredes & A. Solera & J. Andreu, 2012. "A Model for Solving the Optimal Water Allocation Problem in River Basins with Network Flow Programming When Introducing Non-Linearities," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(14), pages 4059-4071, November.
    6. Deepti Rani & Maria Moreira, 2010. "Simulation–Optimization Modeling: A Survey and Potential Application in Reservoir Systems Operation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(6), pages 1107-1138, April.
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    1. E. Vonk & Y. Xu & M. Booij & X. Zhang & D. M. Augustijn, 2014. "Adapting Multireservoir Operation to Shifting Patterns of Water Supply and Demand," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(3), pages 625-643, February.
    2. Melissa Watanabe & Lúcia Gama Madruga & Cristina Yamaguchi & Adriana Vieira & Roseli Jenoveva-Neto, 2014. "Decision Making and Social Learning: the Case of Watershed Committee of the State of Rio Grande do Sul, Brazil," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(11), pages 3815-3828, September.
    3. Silvia Padula & Julien Harou & Lazaros Papageorgiou & Yiming Ji & Mohammad Ahmad & Nigel Hepworth, 2013. "Least Economic Cost Regional Water Supply Planning – Optimising Infrastructure Investments and Demand Management for South East England’s 17.6 Million People," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(15), pages 5017-5044, December.

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