Abstract
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.
Original language | English |
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Article number | 1865 |
Pages (from-to) | 1-16 |
Number of pages | 16 |
Journal | Energies |
Volume | 14 |
Issue number | 7 |
DOIs | |
Publication status | Published - 1 Apr 2021 |
Bibliographical note
Funding Information:Funding: This research is partly financially supported by the Netherlands Enterprise Agency (RVO) within the framework of the Dutch Topsector Energy (project Advances Solar Management—1, ASM-1, and Advanced Scenario Management—2, ASM-2).
Funding Information:
This research is partly financially supported by the Netherlands Enterprise Agency (RVO) within the framework of the Dutch Topsector Energy (project Advances Solar Management?1, ASM-1, and Advanced Scenario Management?2, ASM-2). The authors gratefully acknowledge Jessie Copper, UNSW Australia for the initial help in setting up the automation in ArcPy and for invaluable information on her research.
Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.
Keywords
- ArcGIS solar radiation
- Calibration
- Netherlands
- Photovoltaic solar potential
- Validation