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    FRED: The Flexible Renewable Energy System Dispatch Optimizer

    Source: Journal of Solar Energy Engineering:;2019:;volume( 141 ):;issue: 005::page 51009
    Author:
    do Amaral Burghi, Ana Carolina
    ,
    Hirsch, Tobias
    ,
    Pitz-Paal, Robert
    DOI: 10.1115/1.4043518
    Publisher: American Society of Mechanical Engineers (ASME)
    Abstract: Due to their thermal storage capability, concentrated solar power (CSP) plants have flexibility on electricity dispatch, being able to participate in balancing power markets. The development of an optimum electricity delivery schedule should be fast to react to updated forecast and the dynamic electricity markets, apart from considering best operational practices, as it brings significant cost reductions and improvement in plant performance. Therefore, dispatch optimization tools should combine financial and operational optimization with acceptable computational time. In this context, an innovative dispatch optimization algorithm used to derive a CSP plant operation schedule is presented. FRED is a heuristic rule-based algorithm used to optimize financial income while considering plant best operational practices. Simulations performed with a CSP plant tower model following FRED optimization strategy show the possibility of improved financial results with fast dispatch planning, ensuring the importance of this technology in the pathway to a highly renewable energy mix.
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      FRED: The Flexible Renewable Energy System Dispatch Optimizer

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4259306
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    contributor authordo Amaral Burghi, Ana Carolina
    contributor authorHirsch, Tobias
    contributor authorPitz-Paal, Robert
    date accessioned2019-09-18T09:08:20Z
    date available2019-09-18T09:08:20Z
    date copyright5/2/2019 12:00:00 AM
    date issued2019
    identifier issn0199-6231
    identifier othersol_141_5_051009
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4259306
    description abstractDue to their thermal storage capability, concentrated solar power (CSP) plants have flexibility on electricity dispatch, being able to participate in balancing power markets. The development of an optimum electricity delivery schedule should be fast to react to updated forecast and the dynamic electricity markets, apart from considering best operational practices, as it brings significant cost reductions and improvement in plant performance. Therefore, dispatch optimization tools should combine financial and operational optimization with acceptable computational time. In this context, an innovative dispatch optimization algorithm used to derive a CSP plant operation schedule is presented. FRED is a heuristic rule-based algorithm used to optimize financial income while considering plant best operational practices. Simulations performed with a CSP plant tower model following FRED optimization strategy show the possibility of improved financial results with fast dispatch planning, ensuring the importance of this technology in the pathway to a highly renewable energy mix.
    publisherAmerican Society of Mechanical Engineers (ASME)
    titleFRED: The Flexible Renewable Energy System Dispatch Optimizer
    typeJournal Paper
    journal volume141
    journal issue5
    journal titleJournal of Solar Energy Engineering
    identifier doi10.1115/1.4043518
    journal fristpage51009
    journal lastpage051009-17
    treeJournal of Solar Energy Engineering:;2019:;volume( 141 ):;issue: 005
    contenttypeFulltext
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