Details zur Publikation

Kategorie Textpublikation
Referenztyp Zeitschriften
DOI 10.3390/ijgi9110621
Lizenz creative commons licence
Titel (primär) Generation of spatiotemporally resolved power production data of PV systems in Germany
Autor Lehneis, R. ORCID logo ; Manske, D. ORCID logo ; Thrän, D.
Quelle ISPRS International Journal of Geo-Information
Erscheinungsjahr 2020
Band/Volume 9
Heft 11
Seite von art. 621
Sprache englisch
Keywords spatiotemporal modeling; photovoltaics; power generation; satellite-based weather data
Abstract 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.
dauerhafte UFZ-Verlinkung
Lehneis, R., Manske, D., Thrän, D. (2020):
Generation of spatiotemporally resolved power production data of PV systems in Germany
ISPRS Int. J. Geo-Inf. 9 (11), art. 621 10.3390/ijgi9110621