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    Reservoir Operation Optimized for Hydropower Production Reduces Conflict with Traditional Water Uses in the Senegal River

    Source: Journal of Water Resources Planning and Management:;2020:;Volume ( 146 ):;issue: 004
    Author:
    Luciano Raso
    ,
    Jean-Claude Bader
    ,
    Steven Weijs
    DOI: 10.1061/(ASCE)WR.1943-5452.0001076
    Publisher: ASCE
    Abstract: Manantali is a dam located on the Senegal River and is mainly used for hydropower production. Before the dam’s construction, the annual river flood alimented the flood recession agriculture, a practice based on natural irrigation and fertilization of the flood plain, used traditionally by the local populations downstream. Analysis of the actual reservoir operation shows that annual floods have been largely reduced for the benefit of hydropower production. Moreover, the Senegal River Basin authority is evaluating the construction of different new dams, which could reduce even further the water available for flood support, given that the current operational focus is on satisfying hydropower demand. This study investigates the effects of an optimal reservoir operation strategy that maximizes hydropower production only, analyzing the results of this strategy in terms of effects on the two main objectives, i.e., hydropower production and flood support. The problem of finding optimal reservoir operation strategy is solved by applying the stochastic dual dynamic programming method. Results show the existence of a release strategy in which both objectives improve (+9% for hydropower and +7% for flood production) with respect to the historically observed operation. This solution, however, may require the electric system to compensate for the variability in energy supply along the year.
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      Reservoir Operation Optimized for Hydropower Production Reduces Conflict with Traditional Water Uses in the Senegal River

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4267838
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    • Journal of Water Resources Planning and Management

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    contributor authorLuciano Raso
    contributor authorJean-Claude Bader
    contributor authorSteven Weijs
    date accessioned2022-01-30T21:13:24Z
    date available2022-01-30T21:13:24Z
    date issued4/1/2020 12:00:00 AM
    identifier other%28ASCE%29WR.1943-5452.0001076.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4267838
    description abstractManantali is a dam located on the Senegal River and is mainly used for hydropower production. Before the dam’s construction, the annual river flood alimented the flood recession agriculture, a practice based on natural irrigation and fertilization of the flood plain, used traditionally by the local populations downstream. Analysis of the actual reservoir operation shows that annual floods have been largely reduced for the benefit of hydropower production. Moreover, the Senegal River Basin authority is evaluating the construction of different new dams, which could reduce even further the water available for flood support, given that the current operational focus is on satisfying hydropower demand. This study investigates the effects of an optimal reservoir operation strategy that maximizes hydropower production only, analyzing the results of this strategy in terms of effects on the two main objectives, i.e., hydropower production and flood support. The problem of finding optimal reservoir operation strategy is solved by applying the stochastic dual dynamic programming method. Results show the existence of a release strategy in which both objectives improve (+9% for hydropower and +7% for flood production) with respect to the historically observed operation. This solution, however, may require the electric system to compensate for the variability in energy supply along the year.
    publisherASCE
    titleReservoir Operation Optimized for Hydropower Production Reduces Conflict with Traditional Water Uses in the Senegal River
    typeJournal Paper
    journal volume146
    journal issue4
    journal titleJournal of Water Resources Planning and Management
    identifier doi10.1061/(ASCE)WR.1943-5452.0001076
    page8
    treeJournal of Water Resources Planning and Management:;2020:;Volume ( 146 ):;issue: 004
    contenttypeFulltext
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