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An analytical approach to power optimization of concentrating solar power plants with thermal storage

  • This paper deals with the problem of determining the optimal capacity of concentrated solar power (CSP) plants, especially in the context of hybrid solar power plants. This work presents an innovative analytical approach to optimizing the capacity of concentrated solar plants. The proposed method is based on the use of additional non-dimensional parameters, in particular, the design factor and the solar multiple factor. This paper presents a mathematical optimization model that focuses on the capacity of concentrated solar power plants where thermal storage plays a key role in the energy source. The analytical approach provides a more complete understanding of the design process for hybrid power plants. In addition, the use of additional factors and the combination of the proposed method with existing numerical methods allows for more refined optimization, which allows for the more accurate selection of the capacity for specific geographical conditions. Importantly, the proposed method significantly increases the speed of computation compared to that of traditional numerical methods. Finally, the authors present the results of the analysis of the proposed system of equations for calculating the levelized cost of electricity (LCOE) for hybrid solar power plants. The nonlinearity of the LCOE on the main calculation parameters is shown

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Metadaten
Author:Andrii Cheilytko, Spiros Alexopoulos, Andriy Pozhuyev, Oliver Kaufhold
DOI:https://doi.org/10.3390/solar4030024
ISSN:2673-9941
Parent Title (English):Solar
Publisher:MDPI
Place of publication:Basel
Document Type:Article
Language:English
Year of Completion:2024
Date of first Publication:2024/09/21
Date of the Publication (Server):2024/10/01
Tag:analytical approach; concentrated solar power; design factor; hybrid solar power plants; optimization model; solar multiple factor; thermal storage
Volume:4
Issue:3
First Page:509
Last Page:525
Peer Review:Ja
Link:https://doi.org/10.3390/solar4030024
Zugriffsart:weltweit
Institutes:FH Aachen / Fachbereich Energietechnik
open_access (DINI-Set):open_access
collections:Verlag / MDPI
Open Access / Gold
Licence (German): Creative Commons - Namensnennung