A Comprehensive Workflow for High Resolution 3D Solar Photovoltaic Potential Mapping in Dense Urban Environment: A Case Study on Campus of Delft University of Technology

Solar RRLVolume 6, Issue 5 2270051 Cover PictureFree Access A Comprehensive Workflow for High Resolution 3D Solar Photovoltaic Potential Mapping in Dense Urban Environment: A Case Study on Campus of Delft University of Technology Yilong Zhou, Yilong Zhou Photovoltaic Materials and Devices group, Delft University of Technology, Mekelweg 4, Delft, 2628CD The NetherlandsSearch for more papers by this authorMaarten Verkou, Maarten Verkou Photovoltaic Materials and Devices group, Delft University of Technology, Mekelweg 4, Delft, 2628CD The NetherlandsSearch for more papers by this authorMiro Zeman, Miro Zeman Photovoltaic Materials and Devices group, Delft University of Technology, Mekelweg 4, Delft, 2628CD The NetherlandsSearch for more papers by this authorHesan Ziar, Corresponding Author Hesan Ziar [email protected] orcid.org/0000-0002-9913-2315 Photovoltaic Materials and Devices group, Delft University of Technology, Mekelweg 4, Delft, 2628CD The NetherlandsSearch for more papers by this authorOlindo Isabella, Olindo Isabella Photovoltaic Materials and Devices group, Delft University of Technology, Mekelweg 4, Delft, 2628CD The NetherlandsSearch for more papers by this author Yilong Zhou, Yilong Zhou Photovoltaic Materials and Devices group, Delft University of Technology, Mekelweg 4, Delft, 2628CD The NetherlandsSearch for more papers by this authorMaarten Verkou, Maarten Verkou Photovoltaic Materials and Devices group, Delft University of Technology, Mekelweg 4, Delft, 2628CD The NetherlandsSearch for more papers by this authorMiro Zeman, Miro Zeman Photovoltaic Materials and Devices group, Delft University of Technology, Mekelweg 4, Delft, 2628CD The NetherlandsSearch for more papers by this authorHesan Ziar, Corresponding Author Hesan Ziar [email protected] orcid.org/0000-0002-9913-2315 Photovoltaic Materials and Devices group, Delft University of Technology, Mekelweg 4, Delft, 2628CD The NetherlandsSearch for more papers by this authorOlindo Isabella, Olindo Isabella Photovoltaic Materials and Devices group, Delft University of Technology, Mekelweg 4, Delft, 2628CD The NetherlandsSearch for more papers by this author First published: 10 May 2022 https://doi.org/10.1002/solr.202270051AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Graphical Abstract Solar Photovoltaic Potential In article number 2100478, Hesan Ziar and co-workers developed a semi-automatized workflow to estimate residential solar photovoltaic (PV) potential, which only requires LiDAR data and building footprints as inputs, and delivers accurate geo-referenced 3D building models, annual solar irradiation map, annual DC/AC yield maps, and prioritizes roof segments based on their PV potential. Volume6, Issue5Special Issue: EU PVSECMay 20222270051 RelatedInformation