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Development and implementation of a dynamic TES dispatch control component in a PV-CSP techno-economic performance modelling tool
KTH, School of Industrial Engineering and Management (ITM), Energy Technology.
KTH, School of Industrial Engineering and Management (ITM), Energy Technology.ORCID iD: 0000-0002-7804-667X
KTH, School of Industrial Engineering and Management (ITM), Energy Technology.
KTH, School of Industrial Engineering and Management (ITM), Energy Technology, Heat and Power Technology.ORCID iD: 0000-0001-7193-5303
2017 (English)In: AIP Conference Proceedings, American Institute of Physics (AIP), 2017, Vol. 1850, article id 160013Conference paper, Published paper (Refereed)
Abstract [en]

The dispatchability offered by thermal energy storage (TES) in concentrated solar power (CSP) and solar hybrid plants based on such technology presents the most important difference compared to power generation based only on photovoltaics (PV). This has also been one reason for recent hybridization efforts of the two technologies and the creation of Power Purchase Agreement (PPA) payment schemes based on offering higher payment multiples during daily hours of higher (peak or priority) demand. Recent studies involving plant-level thermal energy storage control strategies are however to a large extent based on pre-determined approaches, thereby not taking into account the actual dynamics of thermal energy storage system operation. In this study, the implementation of a dynamic dispatch strategy in the form of a TRNSYS controller for hybrid PV-CSP plants in the power-plant modelling tool DYESOPT is presented. In doing this it was attempted to gauge the benefits of incorporating a day-ahead approach to dispatch control compared to a fully pre-determined approach determining hourly dispatch only once prior to annual simulation. By implementing a dynamic strategy, it was found possible to enhance technical and economic performance for CSP-only plants designed for peaking operation and featuring low values of the solar multiple. This was achieved by enhancing dispatch control, primarily by taking storage levels at the beginning of every simulation day into account. The sequential prediction of the TES level could therefore be improved, notably for evaluated plants without integrated PV, for which the predicted storage levels deviated less than when PV was present in the design. While also featuring dispatch performance gains, optimal plant configurations for hybrid PV-CSP was found to present a trade-off in economic performance in the form of an increase in break-even electricity price when using the dynamic strategy which was offset to some extent by a reduction in upfront investment cost. An increase in turbine starts for the implemented strategy however highlights that this is where further improvements can be made.

Place, publisher, year, edition, pages
American Institute of Physics (AIP), 2017. Vol. 1850, article id 160013
Series
AIP Conference Proceedings
National Category
Energy Engineering
Identifiers
URN: urn:nbn:se:kth:diva-216444DOI: 10.1063/1.4984547ISI: 000417377900222Scopus ID: 2-s2.0-85023593706OAI: oai:DiVA.org:kth-216444DiVA, id: diva2:1164008
Conference
22nd International Conference on Concentrating Solar Power and Chemical Energy Systems, SolarPACES 2016, 11 October 2016 through 14 October 2016
Note

QC 20171208

Part of ISBN 9780735415225

Available from: 2017-12-08 Created: 2017-12-08 Last updated: 2024-11-07Bibliographically approved

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Hansson, LinusGuédez, RafaelLaumert, Björn

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