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dc.contributor.authordo Amaral Burghi, Ana Carolina
dc.contributor.authorHirsch, Tobias
dc.contributor.authorPitz-Paal, Robert
dc.date.accessioned2019-09-18T09:08:20Z
dc.date.available2019-09-18T09:08:20Z
dc.date.copyright5/2/2019 12:00:00 AM
dc.date.issued2019
dc.identifier.issn0199-6231
dc.identifier.othersol_141_5_051009
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4259306
dc.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.
dc.publisherAmerican Society of Mechanical Engineers (ASME)
dc.titleFRED: The Flexible Renewable Energy System Dispatch Optimizer
dc.typeJournal Paper
dc.journal.volume141
dc.journal.issue5
dc.journal.titleJournal of Solar Energy Engineering
dc.identifier.doi10.1115/1.4043518
dc.journal.fristpage51009
dc.journal.lastpage051009-17
dc.treeJournal of Solar Energy Engineering:;2019:;volume( 141 ):;issue: 005
dc.contenttypeFulltext


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