RT Journal Article
T1 Nowcasting System Based on Sky Camera Images to Predict the Solar Flux on the Receiver of a Concentrated Solar Plant
A1 Alonso-Montesinos, Joaquín
A1 Monterreal, Rafael
A1 Fernández Reche, Jesús
A1 Ballestrín, Jesús
A1 López Rodríguez, Gabriel
A1 Polo, Jesús
A1 Barbero, Francisco Javier
A1 Marzo, Aitor
A1 Portillo, Carlos
A1 Batlles, Francisco J.
AB As part of the research for techniques to control the final energy reaching the receivers ofcentral solar power plants, this work combines two contrasting methods in a novel way as a firststep towards integrating such systems in solar plants. To determine the effective power reaching thereceiver, the direct normal irradiance was predicted at ground level using a total sky camera, TSI-880model. Subsequently, these DNI values were used as the inputs for a heliostat model (Fiat-Lux) totrace the sunlight’s path according to the mirror features. The predicted valuex of flux, obtained fromthese simulations, differ of less than 20% from the real values. This represents a significant advancein integrating different technologies to quantify the losses produced in the path from the heliostats tothe central receiver, which are normally caused by the presence of atmospheric attenuation factors
PB MDPI
SN 2072-4292 (electrónico)
YR 2022
FD 2022
LK http://hdl.handle.net/10272/20834
UL http://hdl.handle.net/10272/20834
LA eng
NO Alonso-Montesinos, J., Monterreal, R., Fernandez-Reche, J., Ballestrín, J., López, G., Polo, J., Barbero, F. J., Marzo, A., Portillo, C., & Batlles, F. J. (2022). Nowcasting System Based on Sky Camera Images to Predict the Solar Flux on the Receiver of a Concentrated Solar Plant. In Remote Sensing (Vol. 14, Issue 7, p. 1602). MDPI AG. https://doi.org/10.3390/rs14071602
NO This research was funded by the Ministerio de Economía, Industria y Competitividad grantnumbers ENE2014-59454-C3-1, 2 and 3; and ENE2017-83790-C3-1, 2 and 3; and co-financed by theEuropean Regional Development Fund. The author would like to thank the PRESOL Project (references ENE2014-59454-C3-1, 2 and 3) and the PVCastSOIL Project (references ENE2017-83790-C3-1, 2 and 3), whichwere funded by the Ministerio de Economía, Industria y Competitividad, and the MAPVSpainProject (PID2020-118239RJ-I00), which was funded by the Ministerio de Ciencia e Innovación; all of them co-financed by the European Regional Development Fund. The authors also acknowledgeANID/FONDAP/15110019 SERC Chile
DS Repositorio Institucional de la Universidad de Huelva
RD 1 jun 2026