@inproceedings{3467d217cceb4b12b766457c89b0d3b7,
title = "Harnessing the Sunlight on Facades - an Approach for Determining Vertical Photovoltaic Potential",
abstract = "The paper deals with the calculation of the photovoltaic potential of vertical structures. Photovoltaic systems are a core technology for producing renewable energy. As roughly 50% of the population on planet Earth lives in urban environments, the production of renewable energy in urban contexts is of particular interest. As several papers have elaborated on the photovoltaic potential of roofs, this paper focuses on vertical structures. Hence, we present a methodology to extract facades suitable for photovoltaic installation, calculate their southness and percentage of shaded areas. The approach is successfully tested, based on a dataset located in the city of Graz, Styria (Austria). The results show the wall structures of each building, the respective shadow depth, and their score based on a multi-criteria analysis that represents the suitability for the installation of a photovoltaic system.",
keywords = "Facades, Multi-Criteria-Analysis, Shadow, Southness, Vertical Photovoltaics",
author = "Franz Welscher and Ivan Majic and Franziska H{\"u}bl and Rizwan Bulbul and Johannes Scholz",
note = "12th International Conference on Geographic Information Science : GIScience 2023 ; Conference date: 12-09-2023 Through 15-09-2023",
year = "2023",
month = sep,
day = "1",
doi = "10.4230/LIPIcs.GIScience.2023.82",
language = "English",
isbn = "978-3-95977-288-4",
volume = "277",
series = "Leibniz International Proceedings in Informatics, LIPIcs",
publisher = "Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing",
pages = "82:1--82:7",
editor = "Roger Beecham and Long, {Jed A.} and Dianna Smith and Qunshan Zhao and Sarah Wise",
booktitle = "12th International Conference on Geographic Information Science (GIScience 2023)",
}