To achieve the ambitious renewable energy (RE) targets in Germany, future decentralized RE investments and installations, such as rooftop photovoltaics (PV) are necessary, despite the decreasing feed-in tariffs. To stimulate additional building owners to install new PV panels, we have developed a prototypical GIS-based 4-dimensional solar potential analysis based on high resolution digital surface models, generated using structure from motion analysis based on aerial photography. Using the city of Nürtingen as a case study, we calculated rooftop insolation with a very high spatial and temporal resolution. By overlaying PV generation profiles with standardized electricity demand profiles for different user types, we can give accurate and valid estimations of the economic profitability of photovoltaic installations. This information shall support the local realization of the energy turnaround, but also can be used in planning support systems following the principles of Geodesign.
Autor / Author: | Roth, Michael; Tilk, Christian |
Institution / Institution: | Nürtingen-Geislingen University, Nuertingen, Germany; Nürtingen-Geislingen University, Nuertingen, Germany |
Seitenzahl / Pages: | 8 |
Sprache / Language: | Englisch |
Veröffentlichung / Publication: | JoDLA − Journal of Digital Landscape Architecture, 1-2016 |
Tagung / Conference: | Digital Landscape Architecture 2016 – Representing, Evaluating and Designing Landscapes: Digital Approaches |
Veranstaltungsort, -datum / Venue, Date: | Istanbul, Turkey 01-06-16 - 03-06-16 |
Schlüsselwörter (de): | |
Keywords (en): | Structure from motion, online GIS; landscape assessment, renewable energy, planning support system |
Paper review type: | Full Paper Review |
DOI: | doi:10.14627/537612016 |
Diese Website nutzt Cookies, um ihre Dienste anbieten zu können und Zugriffe zu analysieren. Dabei ist uns der Datenschutz sehr wichtig.
Legen Sie hier Ihre Cookie-Einstellungen fest. Sie können Sie jederzeit auf der Seite Cookie-Informationen ändern.