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Article

Generation of Spatiotemporally Resolved Power Production Data of PV Systems in Germany

1
Department of Bioenergy, Helmholtz Centre for Environmental Research GmbH—UFZ, Permoserstraße 15, 04318 Leipzig, Germany
2
Bioenergy Systems Department, DBFZ Deutsches Biomasseforschungszentrum gGmbH, Torgauer Str. 116, 04347 Leipzig, Germany
*
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2020, 9(11), 621; https://doi.org/10.3390/ijgi9110621
Received: 31 July 2020 / Revised: 20 October 2020 / Accepted: 21 October 2020 / Published: 24 October 2020
(This article belongs to the Collection Spatial and Temporal Modelling of Renewable Energy Systems)
Photovoltaics, as one of the most important renewable energies in Germany, have increased significantly in recent years and cover up to 50% of the German power provision on sunny days. To investigate the manifold effects of increasing renewables, spatiotemporally disaggregated data on the power generation from photovoltaic (PV) systems are often mandatory. Due to strict data protection regulations, such information is not freely available for Germany. To close this gap, numerical simulations using publicly accessible plant and weather data can be applied to determine the required spatiotemporal electricity generation. For this, the sunlight-to-power conversion is modeled with the help of the open-access web tool of the Photovoltaic Geographical Information System (PVGIS). The presented simulations are carried out for the year 2016 and consider nearly 1.612 million PV systems in Germany, which have been aggregated into municipal areas before performing the calculations. The resulting hourly resolved time series of the entire plant ensemble are converted into a time series with daily resolution and compared with measured feed-in data to validate the numerical simulations that show a high degree of agreement. Such power production data can be used to monitor and optimize renewable energy systems on different spatiotemporal scales. View Full-Text
Keywords: spatiotemporal modeling; photovoltaics; power generation; satellite-based weather data spatiotemporal modeling; photovoltaics; power generation; satellite-based weather data
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MDPI and ACS Style

Lehneis, R.; Manske, D.; Thrän, D. Generation of Spatiotemporally Resolved Power Production Data of PV Systems in Germany. ISPRS Int. J. Geo-Inf. 2020, 9, 621. https://doi.org/10.3390/ijgi9110621

AMA Style

Lehneis R, Manske D, Thrän D. Generation of Spatiotemporally Resolved Power Production Data of PV Systems in Germany. ISPRS International Journal of Geo-Information. 2020; 9(11):621. https://doi.org/10.3390/ijgi9110621

Chicago/Turabian Style

Lehneis, Reinhold, David Manske, and Daniela Thrän. 2020. "Generation of Spatiotemporally Resolved Power Production Data of PV Systems in Germany" ISPRS International Journal of Geo-Information 9, no. 11: 621. https://doi.org/10.3390/ijgi9110621

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