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Comparison of satellite imagery based data, reanalysis data and statistical methods for mapping global solar radiation in the Lerma Valley (Salta, Argentina)

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  • Ramirez Camargo, Luis
  • Dorner, Wolfgang

Abstract

Global solar radiation is the most important factor to determine the energy generation potential of photovoltaic (PV) plants. In Argentina only a small number of ground measured data of global solar radiation exists. Researchers and PV developers have to use statistical methods or satellite imagery to handle this lack of information and provide an estimation of global solar radiation for a particular location. In this paper global solar radiation data sources for the Lerma valley are explored in order to assess which data set is best suitable for future studies of photovoltaic energy generation potential at the best possible spatial and temporal resolution. We evaluate global solar radiation from the reanalysis data set provided by the European Centre for Medium-Range Weather Forecasts (ECMWF) and the Meteosat second generation derived data set provided by Land Surface Analysis Satellite Applications Facility (LSA-SAF). These are compared with each other, with data generated using statistical methods and with data from a pyranometer. The results show that the data from LSA-SAF fit best to the ground measurements. This together with a high spatial and temporal resolution makes the LSA-SAF data a satisfactory alternative to compensate the lack of global solar radiation data available for the study area.

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  • Ramirez Camargo, Luis & Dorner, Wolfgang, 2016. "Comparison of satellite imagery based data, reanalysis data and statistical methods for mapping global solar radiation in the Lerma Valley (Salta, Argentina)," Renewable Energy, Elsevier, vol. 99(C), pages 57-68.
    • Handle: RePEc:eee:renene:v:99:y:2016:i:c:p:57-68
    DOI: 10.1016/j.renene.2016.06.042
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    References listed on IDEAS

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    1. Belmonte, S. & Núñez, V. & Viramonte, J.G. & Franco, J., 2009. "Potential renewable energy resources of the Lerma Valley, Salta, Argentina for its strategic territorial planning," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(6-7), pages 1475-1484, August.
    2. Righini, R. & Grossi Gallegos, H. & Raichijk, C., 2005. "Approach to drawing new global solar irradiation contour maps for Argentina," Renewable Energy, Elsevier, vol. 30(8), pages 1241-1255.
    3. Moreno, A. & Gilabert, M.A. & Camacho, F. & Martínez, B., 2013. "Validation of daily global solar irradiation images from MSG over Spain," Renewable Energy, Elsevier, vol. 60(C), pages 332-342.
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    Cited by:

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    3. Ramirez Camargo, Luis & Gruber, Katharina & Nitsch, Felix, 2019. "Assessing variables of regional reanalysis data sets relevant for modelling small-scale renewable energy systems," Renewable Energy, Elsevier, vol. 133(C), pages 1468-1478.
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    6. Ceballos, Juan Carlos & Porfirio, Anthony Carlos Silva & Oricchio, Patricio Alberto & Posse, Gabriela, 2022. "Characterization of the annual regime of surface solar irradiance over Argentine Pampean Region using GL1.2 satellite-based data," Renewable Energy, Elsevier, vol. 194(C), pages 526-537.
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    8. Feng, Lan & Lin, Aiwen & Wang, Lunche & Qin, Wenmin & Gong, Wei, 2018. "Evaluation of sunshine-based models for predicting diffuse solar radiation in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 168-182.
    9. Paredes, Paula & Trigo, Isabel & de Bruin, Henk & Simões, Nuno & Pereira, Luis S., 2021. "Daily grass reference evapotranspiration with Meteosat Second Generation shortwave radiation and reference ET products," Agricultural Water Management, Elsevier, vol. 248(C).

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