Urban-Scale Rooftop Photovoltaic Potential Estimation Using Open-Source Software and Public GIS Datasets

This paper aims to effectively estimate urban-scale rooftop photovoltaic potential using strictly open-source software and publicly available GIS data. This approach is often neglected; however, its importance is significant regarding technology transfer and general commercial or academic ease of use. A complete methodology is introduced, including the building shadow analysis. Although many papers are published in similar areas, very few reveal the specific steps and functions in the software used, or the computational core of some part of the estimation is a “black box” of a commercial service. Detailed irradiation parameters can be obtained using the proposed methodologies, and the maximum photovoltaic (PV) power output in the area can be estimated. The great advantage of this model is its scalability and the easy way of modifying every computational parameter. The results and limitations of the proposed methodology are discussed, and further development is suggested. The presented model is based on a sample location in Bratislava, Slovakia, with an area of circa 2.5 km2.

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Publication Details

Journal
Smart Cities
Published
2024-12-12
DOI
https://doi.org/10.3390/smartcities7060153
Citations
5
Primary Topic
Solar Radiation and Photovoltaics
Type
article
Field-Weighted Citation Impact
1.74

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article

Urban-Scale Rooftop Photovoltaic Potential Estimation Using Open-Source Software and Public GIS Datasets

Matej Cenký, Peter Janiga, Jozef Bendík, Illia Lazarenko
5 citations
Smart Cities
Solar Radiation and Photovoltaics
1.74
article

Urban-Scale Rooftop Photovoltaic Potential Estimation Using Open-Source Software and Public GIS Datasets

Matej Cenký, Peter Janiga, Jozef Bendík, Illia Lazarenko
article en
5 citations

Abstract

This paper aims to effectively estimate urban-scale rooftop photovoltaic potential using strictly open-source software and publicly available GIS data. This approach is often neglected; however, its importance is significant regarding technology transfer and general commercial or academic ease of use. A complete methodology is introduced, including the building shadow analysis. Although many papers are published in similar areas, very few reveal the specific steps and functions in the software used, or the computational core of some part of the estimation is a “black box” of a commercial service. Detailed irradiation parameters can be obtained using the proposed methodologies, and the maximum photovoltaic (PV) power output in the area can be estimated. The great advantage of this model is its scalability and the easy way of modifying every computational parameter. The results and limitations of the proposed methodology are discussed, and further development is suggested. The presented model is based on a sample location in Bratislava, Slovakia, with an area of circa 2.5 km2.

Smart CitiesVol. 7(6)
Slovak University of Technology in Bratislava (SK)
Vedecká Grantová Agentúra MŠVVaŠ SR a SAV
Sustainable cities and communities
Openalex Percentile: Top 12%
Solar Radiation and Photovoltaics
1.74
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Urban-Scale Rooftop Photovoltaic Potential Estimation Using Open-Source Software and Public GIS Datasets — Matej Cenký, Peter Janiga, et al. · Smart Cities (2024) | TGRS Research Map | TGRS