Nowcasting System Based on Sky Camera Images to Predict the Solar Flux on the Receiver of a Concentrated Solar Plant

Alonso-Montesinos, Joaquin; Monterreal, Rafael; Fernandez-Reche, Jesus; Ballestrin, Jesus; Lopez, Gabriel; Polo, Jesus; Javier Barbero, Francisco; Marzo, Aitor; Portillo, Carlos; Javier Batlles, Francisco

Abstract

As part of the research for techniques to control the final energy reaching the receivers of central solar power plants, this work combines two contrasting methods in a novel way as a first step towards integrating such systems in solar plants. To determine the effective power reaching the receiver, the direct normal irradiance was predicted at ground level using a total sky camera, TSI-880 model. Subsequently, these DNI values were used as the inputs for a heliostat model (Fiat-Lux) to trace the sunlight's path according to the mirror features. The predicted valuex of flux, obtained from these simulations, differ of less than 20% from the real values. This represents a significant advance in integrating different technologies to quantify the losses produced in the path from the heliostats to the central receiver, which are normally caused by the presence of atmospheric attenuation factors.

Más información

Título según WOS: Nowcasting System Based on Sky Camera Images to Predict the Solar Flux on the Receiver of a Concentrated Solar Plant
Título de la Revista: REMOTE SENSING
Volumen: 14
Número: 7
Editorial: MDPI
Fecha de publicación: 2022
DOI:

10.3390/rs14071602

Notas: ISI