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Multi-objective optimal design of solar power plants with storage systems according to dispatch strategy
Pontificia Universidad Católica de Chile. (Departamento de Ingeniería Mecánica y Metalúrgica)
Pontificia Universidad Católica de Chile. (Departamento de Ingeniería Mecánica y Metalúrgica)
Pontificia Universidad Católica de Chile. (Departamento de Ingeniería Mecánica y Metalúrgica)
KTH, School of Industrial Engineering and Management (ITM), Energy Technology.ORCID iD: 0000-0002-7804-667X
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2021 (English)In: Energy, ISSN 0360-5442, E-ISSN 1873-6785, Vol. 237, article id 121657Article in journal (Refereed) Published
Abstract [en]

This study presents a comprehensive analysis evaluating the impact of the dispatch strategy on the optimal design configurations of different combinations of solar power plants with storage. The analysis considers four dispatch profiles (baseload, daylight, night, and daylight and evening), and four technology combinations including a solar PV plant with batteries, a CSP plant with Thermal Storage (TES), a hybrid CSP-PV plant with TES, and a hybrid CSP-PV plant with TES and batteries. Two locations with high and moderate levels of DNI were selected and cost scenarios for 2020 and 2030 were considered. The aim is to determine the competitiveness ranges of each technology combination and establishing the least-cost technological option that allows meeting a dispatch strategy with a certain level of supply guarantee. A multi-objective optimization approach was followed to obtain the trade-off curves that minimize the LCOE and maximize the sufficiency factor in terms of the nominal size of the PV plant, solar multiple, TES size, batteries capacity, and inverter power rate. Results of this work allow determining the influence of the dispatch strategy on the competitiveness of these storage-integrated technology options, giving relevant information concerning under which conditions one technology combination is preferable over another.

Place, publisher, year, edition, pages
Elsevier BV , 2021. Vol. 237, article id 121657
Keywords [en]
Multi-objective optimization; CSP; PV; Hybrid; Energy storage; Dispatch strategy
National Category
Energy Engineering
Research subject
Energy Technology
Identifiers
URN: urn:nbn:se:kth:diva-299520DOI: 10.1016/j.energy.2021.121627ISI: 000709164500005Scopus ID: 2-s2.0-85111860764OAI: oai:DiVA.org:kth-299520DiVA, id: diva2:1584039
Note

QC 20210811

Available from: 2021-08-10 Created: 2021-08-10 Last updated: 2022-06-25Bibliographically approved

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Guédez, Rafael

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  • apa
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