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Optimal Hydropower Generation Under Climate Change Conditions for a Northern Water Resources System

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  • Didier Haguma
  • Robert Leconte
  • Pascal Côté
  • Stéphane Krau
  • François Brissette

Abstract

This paper examines climate change impacts on the water resources system of the Manicouagan River (Québec, Canada). The objective is to evaluate the performance of existing infrastructures under future climate projections and the associated uncertainties. The main purpose of the water resources system is hydropower production. A reservoir optimization algorithm, Sampling Stochastic Dynamic Programming (SSDP), was used to derive weekly operating decisions for the existing system subject to reservoir inflows reflecting future climate, for optimum hydropower production. These projections are simulations from the SWAT hydrologic model for climate change scenarios for the period from 2010 to 2099. Results show that the climate change will alter the hydrological regime of the study area: earlier timing of the spring flood, reduced spring peak flow, and increased annual inflows volume in the future compared to the historical climate. The SSDP optimization algorithm adapted the operating policy to the future hydrological regime by adjusting water reservoir levels in the winter and spring, and increasing the release through turbines, which in the end increased power generation. However, there could be more unproductive spills for some power plants, which would decrease the overall efficiency of the existing water resources system. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • Didier Haguma & Robert Leconte & Pascal Côté & Stéphane Krau & François Brissette, 2014. "Optimal Hydropower Generation Under Climate Change Conditions for a Northern Water Resources System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(13), pages 4631-4644, October.
    • Handle: RePEc:spr:waterr:v:28:y:2014:i:13:p:4631-4644
    DOI: 10.1007/s11269-014-0763-3
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    References listed on IDEAS

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    1. Marie Minville & François Brissette & Stéphane Krau & Robert Leconte, 2009. "Adaptation to Climate Change in the Management of a Canadian Water-Resources System Exploited for Hydropower," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(14), pages 2965-2986, November.
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    Cited by:

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    2. Jianzhu Li & Senming Tan, 2015. "Nonstationary Flood Frequency Analysis for Annual Flood Peak Series, Adopting Climate Indices and Check Dam Index as Covariates," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(15), pages 5533-5550, December.
    3. Yves Mbeutcha & Michel Gendreau & Gregory Emiel, 2021. "A hybrid dynamic programming - Tabu Search approach for the long-term hydropower scheduling problem," Computational Management Science, Springer, vol. 18(3), pages 385-410, July.
    4. Didier Haguma & Robert Leconte, 2018. "Long-Term Planning of Water Systems in the Context of Climate Non-Stationarity with Deterministic and Stochastic Optimization," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(5), pages 1725-1739, March.
    5. Tao Bai & Lianzhou Wu & Jian-xia Chang & Qiang Huang, 2015. "Multi-Objective Optimal Operation Model of Cascade Reservoirs and Its Application on Water and Sediment Regulation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(8), pages 2751-2770, June.

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