Spatial Estimation of Sub-Hour Global Horizontal Irradiance Based on Official Observations and Remote Sensors
This study was motivated by the need to improve densification of Global Horizontal Irradiance (GHI) observations, increasing the number of surface weather stations that observe it, using sensors with a sub-hour periodicity and examining the methods of spatial GHI estimation (by interpolation) with t...
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| Format: | Article |
| Language: | English |
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MDPI AG
2014-04-01
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| Series: | Sensors |
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| Online Access: | http://www.mdpi.com/1424-8220/14/4/6758 |
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| author | Federico-Vladimir Gutierrez-Corea Miguel-Angel Manso-Callejo María-Pilar Moreno-Regidor Jesús Velasco-Gómez |
| author_facet | Federico-Vladimir Gutierrez-Corea Miguel-Angel Manso-Callejo María-Pilar Moreno-Regidor Jesús Velasco-Gómez |
| author_sort | Federico-Vladimir Gutierrez-Corea |
| collection | DOAJ |
| description | This study was motivated by the need to improve densification of Global Horizontal Irradiance (GHI) observations, increasing the number of surface weather stations that observe it, using sensors with a sub-hour periodicity and examining the methods of spatial GHI estimation (by interpolation) with that periodicity in other locations. The aim of the present research project is to analyze the goodness of 15-minute GHI spatial estimations for five methods in the territory of Spain (three geo-statistical interpolation methods, one deterministic method and the HelioSat2 method, which is based on satellite images). The research concludes that, when the work area has adequate station density, the best method for estimating GHI every 15 min is Regression Kriging interpolation using GHI estimated from satellite images as one of the input variables. On the contrary, when station density is low, the best method is estimating GHI directly from satellite images. A comparison between the GHI observed by volunteer stations and the estimation model applied concludes that 67% of the volunteer stations analyzed present values within the margin of error (average of ±2 standard deviations). |
| first_indexed | 2024-04-13T09:10:32Z |
| format | Article |
| id | doaj.art-e9670d29298740d0a6b4d178d6c269d4 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-13T09:10:32Z |
| publishDate | 2014-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-e9670d29298740d0a6b4d178d6c269d42022-12-22T02:52:53ZengMDPI AGSensors1424-82202014-04-011446758678710.3390/s140406758s140406758Spatial Estimation of Sub-Hour Global Horizontal Irradiance Based on Official Observations and Remote SensorsFederico-Vladimir Gutierrez-Corea0Miguel-Angel Manso-Callejo1María-Pilar Moreno-Regidor2Jesús Velasco-Gómez3ETSI Topography, Geodetics and Cartography, Universidad Politécnica de Madrid, Campus Sur UPM, Autovía de Valencia Km 7.5, E-28031 Madrid, SpainETSI Topography, Geodetics and Cartography, Universidad Politécnica de Madrid, Campus Sur UPM, Autovía de Valencia Km 7.5, E-28031 Madrid, SpainETSI Topography, Geodetics and Cartography, Universidad Politécnica de Madrid, Campus Sur UPM, Autovía de Valencia Km 7.5, E-28031 Madrid, SpainETSI Topography, Geodetics and Cartography, Universidad Politécnica de Madrid, Campus Sur UPM, Autovía de Valencia Km 7.5, E-28031 Madrid, SpainThis study was motivated by the need to improve densification of Global Horizontal Irradiance (GHI) observations, increasing the number of surface weather stations that observe it, using sensors with a sub-hour periodicity and examining the methods of spatial GHI estimation (by interpolation) with that periodicity in other locations. The aim of the present research project is to analyze the goodness of 15-minute GHI spatial estimations for five methods in the territory of Spain (three geo-statistical interpolation methods, one deterministic method and the HelioSat2 method, which is based on satellite images). The research concludes that, when the work area has adequate station density, the best method for estimating GHI every 15 min is Regression Kriging interpolation using GHI estimated from satellite images as one of the input variables. On the contrary, when station density is low, the best method is estimating GHI directly from satellite images. A comparison between the GHI observed by volunteer stations and the estimation model applied concludes that 67% of the volunteer stations analyzed present values within the margin of error (average of ±2 standard deviations).http://www.mdpi.com/1424-8220/14/4/6758spatial interpolation15-minute Global Solar Radiationvolunteer stations |
| spellingShingle | Federico-Vladimir Gutierrez-Corea Miguel-Angel Manso-Callejo María-Pilar Moreno-Regidor Jesús Velasco-Gómez Spatial Estimation of Sub-Hour Global Horizontal Irradiance Based on Official Observations and Remote Sensors Sensors spatial interpolation 15-minute Global Solar Radiation volunteer stations |
| title | Spatial Estimation of Sub-Hour Global Horizontal Irradiance Based on Official Observations and Remote Sensors |
| title_full | Spatial Estimation of Sub-Hour Global Horizontal Irradiance Based on Official Observations and Remote Sensors |
| title_fullStr | Spatial Estimation of Sub-Hour Global Horizontal Irradiance Based on Official Observations and Remote Sensors |
| title_full_unstemmed | Spatial Estimation of Sub-Hour Global Horizontal Irradiance Based on Official Observations and Remote Sensors |
| title_short | Spatial Estimation of Sub-Hour Global Horizontal Irradiance Based on Official Observations and Remote Sensors |
| title_sort | spatial estimation of sub hour global horizontal irradiance based on official observations and remote sensors |
| topic | spatial interpolation 15-minute Global Solar Radiation volunteer stations |
| url | http://www.mdpi.com/1424-8220/14/4/6758 |
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