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    Hydropower Scheduling Toolchains: Comparing Experiences in Brazil, Norway, and USA and Implications for Synergistic Research

    Source: Journal of Water Resources Planning and Management:;2023:;Volume ( 149 ):;issue: 007::page 04023030-1
    Author:
    Arild Helseth
    ,
    Albert C. G. Melo
    ,
    Quentin M. Ploussard
    ,
    Birger Mo
    ,
    Maria E. P. Maceira
    ,
    Audun Botterud
    ,
    Nathalie Voisin
    DOI: 10.1061/JWRMD5.WRENG-5911
    Publisher: ASCE
    Abstract: While hydropower scheduling is a well-defined problem, there are institutional differences that need to be identified to promote constructive and synergistic research. We study how established toolchains of computer models are organized to assist operational hydropower scheduling in Brazil, Norway, and the United States’ Colorado River System (CRS). These three systems have vast hydropower resources, with numerous, geographically widespread, and complex reservoir systems. Although the underlying objective of hydropower scheduling is essentially the same, the systems are operated in different market contexts and with different alternative uses of water, where the stakeholders’ objectives clearly differ. This in turn leads to different approaches when it comes to the scope, organization, and use of models for operational hydropower scheduling and the information flow between the models. We describe these hydropower scheduling toolchains, identify the similarities and differences, and shed light on the original ideas that motivated their creation. We then discuss the need to improve and extend the current toolchains and the opportunities to synergistic research that embrace those contextual differences.
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      Hydropower Scheduling Toolchains: Comparing Experiences in Brazil, Norway, and USA and Implications for Synergistic Research

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    contributor authorArild Helseth
    contributor authorAlbert C. G. Melo
    contributor authorQuentin M. Ploussard
    contributor authorBirger Mo
    contributor authorMaria E. P. Maceira
    contributor authorAudun Botterud
    contributor authorNathalie Voisin
    date accessioned2024-04-27T20:56:29Z
    date available2024-04-27T20:56:29Z
    date issued2023/07/01
    identifier other10.1061-JWRMD5.WRENG-5911.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4296292
    description abstractWhile hydropower scheduling is a well-defined problem, there are institutional differences that need to be identified to promote constructive and synergistic research. We study how established toolchains of computer models are organized to assist operational hydropower scheduling in Brazil, Norway, and the United States’ Colorado River System (CRS). These three systems have vast hydropower resources, with numerous, geographically widespread, and complex reservoir systems. Although the underlying objective of hydropower scheduling is essentially the same, the systems are operated in different market contexts and with different alternative uses of water, where the stakeholders’ objectives clearly differ. This in turn leads to different approaches when it comes to the scope, organization, and use of models for operational hydropower scheduling and the information flow between the models. We describe these hydropower scheduling toolchains, identify the similarities and differences, and shed light on the original ideas that motivated their creation. We then discuss the need to improve and extend the current toolchains and the opportunities to synergistic research that embrace those contextual differences.
    publisherASCE
    titleHydropower Scheduling Toolchains: Comparing Experiences in Brazil, Norway, and USA and Implications for Synergistic Research
    typeJournal Article
    journal volume149
    journal issue7
    journal titleJournal of Water Resources Planning and Management
    identifier doi10.1061/JWRMD5.WRENG-5911
    journal fristpage04023030-1
    journal lastpage04023030-12
    page12
    treeJournal of Water Resources Planning and Management:;2023:;Volume ( 149 ):;issue: 007
    contenttypeFulltext
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