von Rüden, Lea und Satola, Barbara und Reininghaus, Nies und Kröner, Michael und Vehse, Martin und Dyck, Alexander und Agert, Carsten (2025) GIS-based technical analysis of the local renewable energy production potentials of farms in Germany. Renewable and Sustainable Energy Reviews. Elsevier. doi: 10.1016/j.rser.2025.115412. ISSN 1364-0321.
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Offizielle URL: https://www.sciencedirect.com/science/article/pii/S1364032125000851
Kurzfassung
This study evaluates the potential for integrating renewable energy on farms in Germany. Using Geographic Information Systems, the research assesses the spatial distribution of potential locations for renewable power plants, considering various datasets associated with animal husbandry, existing power plants, farm locations, and meteorological conditions. The analysis reveals potential for small-scale wind and photovoltaic power plants. In particular, the potential for small-scale wind power plants is approximately 4 TWh/a, concentrated mainly in the northern regions of Germany. For photovoltaic power plants, the total potential is estimated at around 637 TWh/a, with a distribution of 56 % for ground-mounted systems, 37 % for agrivoltaic systems, and 7 % for rooftop photovoltaics. The distribution of photovoltaic systems indicates, that ground-mounted systems are predominantly located in the eastern part, rooftop systems in the northwest, and agrivoltaics in Rhineland-Palatine and Baden-Württemberg. The study also identifies near surface geothermal potential in the northwest, Molasse, and Rhine basins. The overview provides valuable insights into optimal locations for sustainable energy production for farmers.
elib-URL des Eintrags: | https://elib.dlr.de/212805/ | ||||||||||||||||||||||||||||||||
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Dokumentart: | Zeitschriftenbeitrag | ||||||||||||||||||||||||||||||||
Titel: | GIS-based technical analysis of the local renewable energy production potentials of farms in Germany | ||||||||||||||||||||||||||||||||
Autoren: |
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Datum: | 24 Januar 2025 | ||||||||||||||||||||||||||||||||
Erschienen in: | Renewable and Sustainable Energy Reviews | ||||||||||||||||||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||||||||||||||||||
Open Access: | Ja | ||||||||||||||||||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||||||||||||||||||
In SCOPUS: | Ja | ||||||||||||||||||||||||||||||||
In ISI Web of Science: | Ja | ||||||||||||||||||||||||||||||||
DOI: | 10.1016/j.rser.2025.115412 | ||||||||||||||||||||||||||||||||
Verlag: | Elsevier | ||||||||||||||||||||||||||||||||
ISSN: | 1364-0321 | ||||||||||||||||||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||||||||||||||||||
Stichwörter: | AgricultureGeographical information systemResource mappingWind power plantPhotovoltaic power plantGeothermal resourcesAgrivoltaicsPotential analysis | ||||||||||||||||||||||||||||||||
HGF - Forschungsbereich: | Energie | ||||||||||||||||||||||||||||||||
HGF - Programm: | Energiesystemdesign | ||||||||||||||||||||||||||||||||
HGF - Programmthema: | Digitalisierung und Systemtechnologie | ||||||||||||||||||||||||||||||||
DLR - Schwerpunkt: | Energie | ||||||||||||||||||||||||||||||||
DLR - Forschungsgebiet: | E SY - Energiesystemtechnologie und -analyse | ||||||||||||||||||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | E - Energiesystemtechnologie | ||||||||||||||||||||||||||||||||
Standort: | Oldenburg | ||||||||||||||||||||||||||||||||
Institute & Einrichtungen: | Institut für Vernetzte Energiesysteme > Stadt- und Gebäudetechnologien | ||||||||||||||||||||||||||||||||
Hinterlegt von: | von Rüden, Lea | ||||||||||||||||||||||||||||||||
Hinterlegt am: | 24 Feb 2025 08:55 | ||||||||||||||||||||||||||||||||
Letzte Änderung: | 24 Feb 2025 08:55 |
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