Show simple item record

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


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record