Articles | Volume 16, issue 20
https://doi.org/10.5194/amt-16-4975-2023
https://doi.org/10.5194/amt-16-4975-2023
Research article
 | 
27 Oct 2023
Research article |  | 27 Oct 2023

Irradiance and cloud optical properties from solar photovoltaic systems

James Barry, Stefanie Meilinger, Klaus Pfeilsticker, Anna Herman-Czezuch, Nicola Kimiaie, Christopher Schirrmeister, Rone Yousif, Tina Buchmann, Johannes Grabenstein, Hartwig Deneke, Jonas Witthuhn, Claudia Emde, Felix Gödde, Bernhard Mayer, Leonhard Scheck, Marion Schroedter-Homscheidt, Philipp Hofbauer, and Matthias Struck

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Cited articles

Abe, C. F., Dias, J. B., Notton, G., and Poggi, P.: Computing Solar Irradiance and Average Temperature of Photovoltaic Modules from the Maximum Power Point Coordinates, IEEE J. Photovolt., 10, 655–663, https://doi.org/10.1109/JPHOTOV.2020.2966362, 2020. a, b
Alonso-Abella, M., Chenlo, F., Nofuentes, G., and Torres-Ramírez, M.: Analysis of spectral effects on the energy yield of different PV (photovoltaic) technologies: The case of four specific sites, Energy, 67, 435–443, https://doi.org/10.1016/j.energy.2014.01.024, 2014. a
Baldauf, M., Seifert, A., Förstner, J., Majewski, D., Raschendorfer, M., and Reinhardt, T.: Operational Convective-Scale Numerical Weather Prediction with the COSMO Model: Description and Sensitivities, Mon. Weather Rev., 139, 3887–3905, https://doi.org/10.1175/MWR-D-10-05013.1, 2011. a, b
Barry, J., Böttcher, D., Pfeilsticker, K., Herman-Czezuch, A., Kimiaie, N., Meilinger, S., Schirrmeister, C., Deneke, H., Witthuhn, J., and Gödde, F.: Dynamic model of photovoltaic module temperature as a function of atmospheric conditions, Adv. Sci. Res., 17, 165–173, https://doi.org/10.5194/asr-17-165-2020, 2020. a, b, c, d, e, f
Barry, J., Gödde, F., Grabenstein, J., and Herman-Czezuch, A.: jamesmhbarry/PVRAD: Supplement to “Irradiance and cloud optical properties from solar photovoltaic systems”, Version v1.0.0, Zenodo [code], https://doi.org/10.5281/zenodo.8336425, 2023a. a, b
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Short summary
Measured power data from solar photovoltaic (PV) systems contain information about the state of the atmosphere. In this work, power data from PV systems in the Allgäu region in Germany were used to determine the solar irradiance at each location, using state-of-the-art simulation and modelling. The results were validated using concurrent measurements of the incoming solar radiation in each case. If applied on a wider scale, this algorithm could help improve weather and climate models.