eprintid: 10200261 rev_number: 7 eprint_status: archive userid: 699 dir: disk0/10/20/02/61 datestamp: 2024-12-17 15:02:53 lastmod: 2024-12-17 15:02:53 status_changed: 2024-12-17 15:02:53 type: proceedings_section metadata_visibility: show sword_depositor: 699 creators_name: Walch, Alina creators_name: Mohajeri, Nahid creators_name: Scartezzini, Jean-Louis title: A critical comparison of methods to estimate solar rooftop photovoltaic potential in Switzerland ispublished: pub divisions: UCL divisions: B04 divisions: C04 divisions: F34 note: Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence, https://creativecommons.org/licenses/by/3.0/. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. abstract: To understand the opportunities and challenges of large shares of solar photovoltaics (PV) in our electricity mix, various large-scale studies of PV potential on building roofs have been conducted in recent years. The use of different datasets, methods and spatio-temporal resolutions leads to widely varying results, making a comparison across different studies intrinsically difficult. In this work, six studies carried out in Switzerland are compared in a quantitative way, in order to understand how different methods impact the potential estimates. We observe a strong trend towards increasing spatial and temporal resolutions, using larger and more accurate datasets for the analysis. While the earliest study relies on rules of thumb, later studies use data-driven estimations, enabled by the use of Machine Learning, scalable algorithms and powerful computational engines. Our analysis shows that the largest differences are caused by the source of the solar radiation input data, the computation of shading effects on rooftops and the estimation of available roof area for PV panel installation. The latter is the most uncertain parameter in the presented studies and offers opportunities for future work. date: 2019 date_type: published publisher: IOP Publishing official_url: http://dx.doi.org/10.1088/1742-6596/1343/1/012035 oa_status: green full_text_type: pub language: eng primo: open primo_central: open_green verified: verified_manual elements_id: 1907907 doi: 10.1088/1742-6596/1343/1/012035 lyricists_name: Mohajeri, Nahid lyricists_id: NMOHA02 actors_name: Mohajeri, Nahid actors_id: NMOHA02 actors_role: owner full_text_status: public pres_type: paper series: Journal of Physics: Conference Series publication: CLIMATE RESILIENT CITIES - ENERGY EFFICIENCY & RENEWABLES IN THE DIGITAL ERA (CISBAT 2019) volume: 1343 number: 1 place_of_pub: Bristol, UK pagerange: 012035 pages: 6 event_title: CISBAT 2019: Climate Resilient Cities – Energy Efficiency & Renewables in the Digital Era event_location: SWITZERLAND, Ecole Polytechnique Fed Lausanne, Solar Energy & Building Phys Lab, Lausanne event_dates: 4 Sep 2019 - 6 Sep 2019 issn: 1742-6588 book_title: Journal of Physics: Conference Series citation: Walch, Alina; Mohajeri, Nahid; Scartezzini, Jean-Louis; (2019) A critical comparison of methods to estimate solar rooftop photovoltaic potential in Switzerland. In: Journal of Physics: Conference Series. (pp. 012035). IOP Publishing: Bristol, UK. Green open access document_url: https://discovery.ucl.ac.uk/id/eprint/10200261/1/Walch_2019_J._Phys.__Conf._Ser._1343_012035.pdf