Attenuation Factor Estimation of Direct Normal Irradiance Combining Sky Camera Images and Mathematical Models in an Inter-Tropical Area
Nowadays, it is of great interest to know and forecast the solar energy resource that will be constantly available in order to optimize its use. The generation of electrical energy using CSP (concentrated solar power) plants is mostly affected by atmospheric changes. Therefore, forecasting solar irr...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-04-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/12/7/1212 |
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| author | Román Mondragón Joaquín Alonso-Montesinos David Riveros-Rosas Mauro Valdés Héctor Estévez Adriana E. González-Cabrera Wolfgang Stremme |
| author_facet | Román Mondragón Joaquín Alonso-Montesinos David Riveros-Rosas Mauro Valdés Héctor Estévez Adriana E. González-Cabrera Wolfgang Stremme |
| author_sort | Román Mondragón |
| collection | DOAJ |
| description | Nowadays, it is of great interest to know and forecast the solar energy resource that will be constantly available in order to optimize its use. The generation of electrical energy using CSP (concentrated solar power) plants is mostly affected by atmospheric changes. Therefore, forecasting solar irradiance is essential for planning a plant’s operation. Solar irradiance/atmospheric (clouds) interaction studies using satellite and sky images can help to prepare plant operators for solar surface irradiance fluctuations. In this work, we present three methodologies that allow us to estimate direct normal irradiance (DNI). The study was carried out at the Solar Irradiance Observatory (SIO) at the Geophysics Institute (UNAM) in Mexico City using corresponding images obtained with a sky camera and starting from a clear sky model. The multiple linear regression and polynomial regression models as well as the neural networks model designed in the present study, were structured to work under all sky conditions (cloudy, partly cloudy and cloudless), obtaining estimation results with 82% certainty for all sky types. |
| first_indexed | 2024-03-10T20:34:51Z |
| format | Article |
| id | doaj.art-b6901c09c3584933a8bc314b883beccb |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T20:34:51Z |
| publishDate | 2020-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-b6901c09c3584933a8bc314b883beccb2023-11-19T21:08:15ZengMDPI AGRemote Sensing2072-42922020-04-01127121210.3390/rs12071212Attenuation Factor Estimation of Direct Normal Irradiance Combining Sky Camera Images and Mathematical Models in an Inter-Tropical AreaRomán Mondragón0Joaquín Alonso-Montesinos1David Riveros-Rosas2Mauro Valdés3Héctor Estévez4Adriana E. González-Cabrera5Wolfgang Stremme6Department of Solar Radiation at the Geophysics Institute of the National Autonomous University of Mexico, Mexico City 07840, MexicoDepartment of Chemistry and Physics, University of Almería, 04120 Almería, SpainDepartment of Solar Radiation at the Geophysics Institute of the National Autonomous University of Mexico, Mexico City 07840, MexicoDepartment of Solar Radiation at the Geophysics Institute of the National Autonomous University of Mexico, Mexico City 07840, MexicoDepartment of Solar Radiation at the Geophysics Institute of the National Autonomous University of Mexico, Mexico City 07840, MexicoDepartment of Solar Radiation at the Geophysics Institute of the National Autonomous University of Mexico, Mexico City 07840, MexicoDepartment of Spectroscopy and Remote Perception at the Geophysics Institute of the National Autonomous University of Mexico, Mexico City 07840, MexicoNowadays, it is of great interest to know and forecast the solar energy resource that will be constantly available in order to optimize its use. The generation of electrical energy using CSP (concentrated solar power) plants is mostly affected by atmospheric changes. Therefore, forecasting solar irradiance is essential for planning a plant’s operation. Solar irradiance/atmospheric (clouds) interaction studies using satellite and sky images can help to prepare plant operators for solar surface irradiance fluctuations. In this work, we present three methodologies that allow us to estimate direct normal irradiance (DNI). The study was carried out at the Solar Irradiance Observatory (SIO) at the Geophysics Institute (UNAM) in Mexico City using corresponding images obtained with a sky camera and starting from a clear sky model. The multiple linear regression and polynomial regression models as well as the neural networks model designed in the present study, were structured to work under all sky conditions (cloudy, partly cloudy and cloudless), obtaining estimation results with 82% certainty for all sky types.https://www.mdpi.com/2072-4292/12/7/1212cloud detectiondigitized image processingartificial neural networkssolar irradiance estimationsolar irradiance forecastingsolar energy |
| spellingShingle | Román Mondragón Joaquín Alonso-Montesinos David Riveros-Rosas Mauro Valdés Héctor Estévez Adriana E. González-Cabrera Wolfgang Stremme Attenuation Factor Estimation of Direct Normal Irradiance Combining Sky Camera Images and Mathematical Models in an Inter-Tropical Area Remote Sensing cloud detection digitized image processing artificial neural networks solar irradiance estimation solar irradiance forecasting solar energy |
| title | Attenuation Factor Estimation of Direct Normal Irradiance Combining Sky Camera Images and Mathematical Models in an Inter-Tropical Area |
| title_full | Attenuation Factor Estimation of Direct Normal Irradiance Combining Sky Camera Images and Mathematical Models in an Inter-Tropical Area |
| title_fullStr | Attenuation Factor Estimation of Direct Normal Irradiance Combining Sky Camera Images and Mathematical Models in an Inter-Tropical Area |
| title_full_unstemmed | Attenuation Factor Estimation of Direct Normal Irradiance Combining Sky Camera Images and Mathematical Models in an Inter-Tropical Area |
| title_short | Attenuation Factor Estimation of Direct Normal Irradiance Combining Sky Camera Images and Mathematical Models in an Inter-Tropical Area |
| title_sort | attenuation factor estimation of direct normal irradiance combining sky camera images and mathematical models in an inter tropical area |
| topic | cloud detection digitized image processing artificial neural networks solar irradiance estimation solar irradiance forecasting solar energy |
| url | https://www.mdpi.com/2072-4292/12/7/1212 |
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