Ener3DMap-SolarWeb roofs: A geospatial web-based platform to compute photovoltaic potential. (January 2021)
- Record Type:
- Journal Article
- Title:
- Ener3DMap-SolarWeb roofs: A geospatial web-based platform to compute photovoltaic potential. (January 2021)
- Main Title:
- Ener3DMap-SolarWeb roofs: A geospatial web-based platform to compute photovoltaic potential
- Authors:
- Sánchez-Aparicio, M.
Martín-Jiménez, J.
Del Pozo, S.
González-González, E.
Lagüela, S. - Abstract:
- Abstract: The effective exploitation and management of renewable energies requires knowledge not only of the energy intensity at the exploitation site but also of the influence of the geometry of the site and its surroundings. For this reason, the efficient processing and interpretation of combined geospatial and energy data is a key issue. This paper presents the development of a web-based tool for the automatic computation of photovoltaic potential on rooftops and on parcels without buildings. The tool called Ener3DMap-SolarWeb Roofs is based on Leaflet and supports WMS, GeoJSON, GeoCSV and KML formats, among others. With these data formats, base maps, geometric data from the rooftops automatically computed from LiDAR and imagery data with self-developed processing algorithms, cadastral data and a solar radiation model are integrated in the tool. These different types of data, the high level of automation and the different scales for which energy data is calculated (hourly, monthly and annually) are the main contributions of the presented tool compared to other existing solutions. The capacities of the tool are tested through its application to analyze the solar potential of rooftops with different shapes and for different solar panel configurations. The accuracy of the results is ensured through the integration of a validated methodology for the computation of geometry and a validated solar radiation model, PVGIS. Highlights: A web-based tool is developed for theAbstract: The effective exploitation and management of renewable energies requires knowledge not only of the energy intensity at the exploitation site but also of the influence of the geometry of the site and its surroundings. For this reason, the efficient processing and interpretation of combined geospatial and energy data is a key issue. This paper presents the development of a web-based tool for the automatic computation of photovoltaic potential on rooftops and on parcels without buildings. The tool called Ener3DMap-SolarWeb Roofs is based on Leaflet and supports WMS, GeoJSON, GeoCSV and KML formats, among others. With these data formats, base maps, geometric data from the rooftops automatically computed from LiDAR and imagery data with self-developed processing algorithms, cadastral data and a solar radiation model are integrated in the tool. These different types of data, the high level of automation and the different scales for which energy data is calculated (hourly, monthly and annually) are the main contributions of the presented tool compared to other existing solutions. The capacities of the tool are tested through its application to analyze the solar potential of rooftops with different shapes and for different solar panel configurations. The accuracy of the results is ensured through the integration of a validated methodology for the computation of geometry and a validated solar radiation model, PVGIS. Highlights: A web-based tool is developed for the computation of solar energy in buildings. The tool presents high automation level regarding existing tools for the same task. The tool provides high accuracy for computing rooftop geometry and solar radiation. 40%-time saving is obtained with the proposed tool compared to the standard method. … (more)
- Is Part Of:
- Renewable & sustainable energy reviews. Volume 135(2021)
- Journal:
- Renewable & sustainable energy reviews
- Issue:
- Volume 135(2021)
- Issue Display:
- Volume 135, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 135
- Issue:
- 2021
- Issue Sort Value:
- 2021-0135-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-01
- Subjects:
- Spatial data infrastructure -- Solar energy potential -- Rooftops -- Web-mapping -- Energy management system -- Management
Renewable energy sources -- Periodicals
Power resources -- Periodicals
Énergies renouvelables -- Périodiques
Ressources énergétiques -- Périodiques
333.794 - Journal URLs:
- http://www.sciencedirect.com/science/journal/13640321 ↗
http://www.elsevier.com/journals ↗
http://www.journals.elsevier.com/renewable-and-sustainable-energy-reviews ↗ - DOI:
- 10.1016/j.rser.2020.110203 ↗
- Languages:
- English
- ISSNs:
- 1364-0321
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 7364.186000
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British Library HMNTS - ELD Digital store - Ingest File:
- 14849.xml