Calibration and Validation of ArcGIS Solar Radiation Tool for Photovoltaic Potential Determination in the Netherlands
Geographic information system (GIS) based tools have become popular for solar photovoltaic (PV) potential estimations, especially in urban areas. There are readily available tools for the mapping and estimation of solar irradiation that give results with the click of a button. Although these tools c...
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Format: | Article |
Language: | English |
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MDPI AG
2021-03-01
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Series: | Energies |
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Online Access: | https://www.mdpi.com/1996-1073/14/7/1865 |
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author | Bala Bhavya Kausika Wilfried G. J. H. M. van Sark |
author_facet | Bala Bhavya Kausika Wilfried G. J. H. M. van Sark |
author_sort | Bala Bhavya Kausika |
collection | DOAJ |
description | Geographic information system (GIS) based tools have become popular for solar photovoltaic (PV) potential estimations, especially in urban areas. There are readily available tools for the mapping and estimation of solar irradiation that give results with the click of a button. Although these tools capture the complexities of the urban environment, they often miss the more important atmospheric parameters that determine the irradiation and potential estimations. Therefore, validation of these models is necessary for accurate potential energy yield and capacity estimations. This paper demonstrates the calibration and validation of the solar radiation model developed by Fu and Rich, employed within ArcGIS, with a focus on the input atmospheric parameters, diffusivity and transmissivity for the Netherlands. In addition, factors affecting the model’s performance with respect to the resolution of the input data were studied. Data were calibrated using ground measurements from Royal Netherlands Meteorological Institute (KNMI) stations in the Netherlands and validated with the station data from Cabauw. The results show that the default model values of diffusivity and transmissivity lead to substantial underestimation or overestimation of solar insolation. In addition, this paper also shows that calibration can be performed at different time scales depending on the purpose and spatial resolution of the input data. |
first_indexed | 2024-03-10T12:50:35Z |
format | Article |
id | doaj.art-b29a5051b0984b74a3e9e6b1000c6433 |
institution | Directory Open Access Journal |
issn | 1996-1073 |
language | English |
last_indexed | 2024-03-10T12:50:35Z |
publishDate | 2021-03-01 |
publisher | MDPI AG |
record_format | Article |
series | Energies |
spelling | doaj.art-b29a5051b0984b74a3e9e6b1000c64332023-11-21T13:06:40ZengMDPI AGEnergies1996-10732021-03-01147186510.3390/en14071865Calibration and Validation of ArcGIS Solar Radiation Tool for Photovoltaic Potential Determination in the NetherlandsBala Bhavya Kausika0Wilfried G. J. H. M. van Sark1Copernicus Institute of Sustainable Development, Utrecht University, Princetonlaan 8A, 3584 CB Utrecht, The NetherlandsCopernicus Institute of Sustainable Development, Utrecht University, Princetonlaan 8A, 3584 CB Utrecht, The NetherlandsGeographic information system (GIS) based tools have become popular for solar photovoltaic (PV) potential estimations, especially in urban areas. There are readily available tools for the mapping and estimation of solar irradiation that give results with the click of a button. Although these tools capture the complexities of the urban environment, they often miss the more important atmospheric parameters that determine the irradiation and potential estimations. Therefore, validation of these models is necessary for accurate potential energy yield and capacity estimations. This paper demonstrates the calibration and validation of the solar radiation model developed by Fu and Rich, employed within ArcGIS, with a focus on the input atmospheric parameters, diffusivity and transmissivity for the Netherlands. In addition, factors affecting the model’s performance with respect to the resolution of the input data were studied. Data were calibrated using ground measurements from Royal Netherlands Meteorological Institute (KNMI) stations in the Netherlands and validated with the station data from Cabauw. The results show that the default model values of diffusivity and transmissivity lead to substantial underestimation or overestimation of solar insolation. In addition, this paper also shows that calibration can be performed at different time scales depending on the purpose and spatial resolution of the input data.https://www.mdpi.com/1996-1073/14/7/1865photovoltaic solar potentialcalibrationvalidationArcGIS solar radiationNetherlands |
spellingShingle | Bala Bhavya Kausika Wilfried G. J. H. M. van Sark Calibration and Validation of ArcGIS Solar Radiation Tool for Photovoltaic Potential Determination in the Netherlands Energies photovoltaic solar potential calibration validation ArcGIS solar radiation Netherlands |
title | Calibration and Validation of ArcGIS Solar Radiation Tool for Photovoltaic Potential Determination in the Netherlands |
title_full | Calibration and Validation of ArcGIS Solar Radiation Tool for Photovoltaic Potential Determination in the Netherlands |
title_fullStr | Calibration and Validation of ArcGIS Solar Radiation Tool for Photovoltaic Potential Determination in the Netherlands |
title_full_unstemmed | Calibration and Validation of ArcGIS Solar Radiation Tool for Photovoltaic Potential Determination in the Netherlands |
title_short | Calibration and Validation of ArcGIS Solar Radiation Tool for Photovoltaic Potential Determination in the Netherlands |
title_sort | calibration and validation of arcgis solar radiation tool for photovoltaic potential determination in the netherlands |
topic | photovoltaic solar potential calibration validation ArcGIS solar radiation Netherlands |
url | https://www.mdpi.com/1996-1073/14/7/1865 |
work_keys_str_mv | AT balabhavyakausika calibrationandvalidationofarcgissolarradiationtoolforphotovoltaicpotentialdeterminationinthenetherlands AT wilfriedgjhmvansark calibrationandvalidationofarcgissolarradiationtoolforphotovoltaicpotentialdeterminationinthenetherlands |