Nowcasting System Based on Sky Camera Images to Predict the Solar Flux on the Receiver of a Concentrated Solar Plant
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,...
| Main Authors: | , , , , , , , , , |
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| Format: | info:eu-repo/semantics/article |
| Language: | English |
| Published: |
MDPI
2022
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| Subjects: | |
| Online Access: | http://hdl.handle.net/10835/13603 |
| _version_ | 1789406697404497920 |
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| author | Alonso Montesinos, Joaquín Blas Monterreal, Rafael Fernandez-Reche, Jesus Ballestrín, Jesús López, Gabriel Polo, Jesús Barbero Francisco, Francisco Javier Marzo, Aitor Portillo, Carlos Batlles Garrido, Francisco Javier |
| author_facet | Alonso Montesinos, Joaquín Blas Monterreal, Rafael Fernandez-Reche, Jesus Ballestrín, Jesús López, Gabriel Polo, Jesús Barbero Francisco, Francisco Javier Marzo, Aitor Portillo, Carlos Batlles Garrido, Francisco Javier |
| author_sort | Alonso Montesinos, Joaquín Blas |
| collection | DSpace |
| description | 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. |
| format | info:eu-repo/semantics/article |
| id | oai:repositorio.ual.es:10835-13603 |
| institution | Universidad de Cuenca |
| language | English |
| publishDate | 2022 |
| publisher | MDPI |
| record_format | dspace |
| spelling | oai:repositorio.ual.es:10835-136032023-11-03T13:28:40Z Nowcasting System Based on Sky Camera Images to Predict the Solar Flux on the Receiver of a Concentrated Solar Plant Alonso Montesinos, Joaquín Blas Monterreal, Rafael Fernandez-Reche, Jesus Ballestrín, Jesús López, Gabriel Polo, Jesús Barbero Francisco, Francisco Javier Marzo, Aitor Portillo, Carlos Batlles Garrido, Francisco Javier central solar power plant sky cam images flux simulation solar plant control remote sensing solar energy image processing 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. 2022-04-07T17:57:14Z 2022-04-07T17:57:14Z 2022-03-26 info:eu-repo/semantics/article 2072-4292 http://hdl.handle.net/10835/13603 10.3390/rs14071602 en https://www.mdpi.com/2072-4292/14/7/1602 Attribution-NonCommercial-NoDerivatives 4.0 Internacional http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess MDPI |
| spellingShingle | central solar power plant sky cam images flux simulation solar plant control remote sensing solar energy image processing Alonso Montesinos, Joaquín Blas Monterreal, Rafael Fernandez-Reche, Jesus Ballestrín, Jesús López, Gabriel Polo, Jesús Barbero Francisco, Francisco Javier Marzo, Aitor Portillo, Carlos Batlles Garrido, Francisco Javier Nowcasting System Based on Sky Camera Images to Predict the Solar Flux on the Receiver of a Concentrated Solar Plant |
| title | Nowcasting System Based on Sky Camera Images to Predict the Solar Flux on the Receiver of a Concentrated Solar Plant |
| title_full | Nowcasting System Based on Sky Camera Images to Predict the Solar Flux on the Receiver of a Concentrated Solar Plant |
| title_fullStr | Nowcasting System Based on Sky Camera Images to Predict the Solar Flux on the Receiver of a Concentrated Solar Plant |
| title_full_unstemmed | Nowcasting System Based on Sky Camera Images to Predict the Solar Flux on the Receiver of a Concentrated Solar Plant |
| title_short | Nowcasting System Based on Sky Camera Images to Predict the Solar Flux on the Receiver of a Concentrated Solar Plant |
| title_sort | nowcasting system based on sky camera images to predict the solar flux on the receiver of a concentrated solar plant |
| topic | central solar power plant sky cam images flux simulation solar plant control remote sensing solar energy image processing |
| url | http://hdl.handle.net/10835/13603 |
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