Geometry optimization of a heat storage system for concentrated solar power plants (CSP)
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https://doi.org/10.1016/j.renene.2018.02.008 |
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Título
Geometry optimization of a heat storage system for concentrated solar power plants (CSP)Fecha de publicación
2018Editor
ElsevierISSN
0960-1481; 1879-0682Cita bibliográfica
SOLÉ, Aran, et al. Geometry optimization of a heat storage system for concentrated solar power plants (CSP). Renewable Energy, 2018, 123.C: p. 227-235Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
https://www.sciencedirect.com/science/article/pii/S0960148118301447Versión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
In the present study, geometry optimization of a phase change material (PCM) heat storage system is presented. The existing PCM-fins heat exchanger system works at the back side of a solar receiver in order to minimize ... [+]
In the present study, geometry optimization of a phase change material (PCM) heat storage system is presented. The existing PCM-fins heat exchanger system works at the back side of a solar receiver in order to minimize the effect of the solar radiation fluctuations inside the cavity. As initially designed, the system does not accomplish the expected design purposes and thus optimization is needed. Optimization is usually time-consuming and some algorithms need a starting point, therefore one suitable method is geometrical optimization which aims to find the optimal shape of a system for a given criteria and providing a rough optimal geometry. Here, constructal theory, ‘point to volume’, is applied to find the optimum shape factor of the elemental volume of the presented PCM-heat exchanger. With this methodology, an optimum ratio of the PCM and fin width and length is found and beyond that the method is extended to ‘surface to volume’ problem. Results have been numerically validated using a CFD software and demonstrate that it gives a very good approximation of the real optimum which can be used as initial configuration for further optimization through CFD simulation or other optimization methods that require a starting point. [-]
Publicado en
Renewable Energy, 2018, 123.C: p. 227-235Proyecto de investigación
The author Aran Solé would like to thank the Societat Economica Barcelonesa Amics del Pais (SEBAP) for the funds that made possible her research stay. The authors would like to thank the Catalan Government for the quality accreditation given to their research group GREA (2014 SGR 123). GREA is certified agent TECNIO in the category of technology developers from the Government of Catalonia. The work is partially funded by the Spanish government (ENE2015-64117-C5-1-R (MINECO/FEDER)). The research leading to these results has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 657466 (INPATH-TES). Aran Solé would like to thank Ministerio de Economía y Competitividad de España for Grant Juan de la Cierva, FJCI-2015-25741Derechos de acceso
© 2018 Elsevier Ltd. All rights reserved.
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