Method for estimating solar energy potential based on photogrammetry from unmanned aerial vehicles
This study presents a method to estimate the solar energy potential based on 3D data taken from unmanned aerial devices. The solar energy potential on the roof of a building was estimated before the placement of solar panels using photogrammetric data analyzed in a geographic information system, and...
- Autores:
-
Fuentes, Jose Eduardo
Moya, Francisco David
Montoya, Oscar Danilo
- Tipo de recurso:
- Fecha de publicación:
- 2020
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/9994
- Palabra clave:
- Unmanned aerial vehicle
Solar irradiation
Geographic information systems
Photovoltaic systems
Digital surface model
Solar panel efficiency
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/
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Method for estimating solar energy potential based on photogrammetry from unmanned aerial vehicles |
| title |
Method for estimating solar energy potential based on photogrammetry from unmanned aerial vehicles |
| spellingShingle |
Method for estimating solar energy potential based on photogrammetry from unmanned aerial vehicles Unmanned aerial vehicle Solar irradiation Geographic information systems Photovoltaic systems Digital surface model Solar panel efficiency |
| title_short |
Method for estimating solar energy potential based on photogrammetry from unmanned aerial vehicles |
| title_full |
Method for estimating solar energy potential based on photogrammetry from unmanned aerial vehicles |
| title_fullStr |
Method for estimating solar energy potential based on photogrammetry from unmanned aerial vehicles |
| title_full_unstemmed |
Method for estimating solar energy potential based on photogrammetry from unmanned aerial vehicles |
| title_sort |
Method for estimating solar energy potential based on photogrammetry from unmanned aerial vehicles |
| dc.creator.fl_str_mv |
Fuentes, Jose Eduardo Moya, Francisco David Montoya, Oscar Danilo |
| dc.contributor.author.none.fl_str_mv |
Fuentes, Jose Eduardo Moya, Francisco David Montoya, Oscar Danilo |
| dc.subject.keywords.spa.fl_str_mv |
Unmanned aerial vehicle Solar irradiation Geographic information systems Photovoltaic systems Digital surface model Solar panel efficiency |
| topic |
Unmanned aerial vehicle Solar irradiation Geographic information systems Photovoltaic systems Digital surface model Solar panel efficiency |
| description |
This study presents a method to estimate the solar energy potential based on 3D data taken from unmanned aerial devices. The solar energy potential on the roof of a building was estimated before the placement of solar panels using photogrammetric data analyzed in a geographic information system, and the predictions were compared with the data recorded after installation. The areas of the roofs were chosen using digital surface models and the hemispherical viewshed algorithm, considering how the solar radiation on the roof surface would be affected by the orientation of the surface with respect to the sun, the shade of trees, surrounding objects, topography, and the atmospheric conditions. The results show that the efficiency percentages of the panels and the data modeled by the proposed method from surface models are very similar to the theoretical efficiency of the panels. Radiation potential can be estimated from photogrammetric data and a 3D model in great detail and at low cost. This method allows the estimation of solar potential as well as the optimization of the location and orientation of solar panels. |
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2020 |
| dc.date.issued.none.fl_str_mv |
2020-12-14 |
| dc.date.accessioned.none.fl_str_mv |
2021-02-15T16:06:40Z |
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2021-02-15T16:06:40Z |
| dc.date.submitted.none.fl_str_mv |
2021-02-12 |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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info:eu-repo/semantics/article |
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Fuentes, J.E.; Moya, F.D.; Montoya, O.D. Method for Estimating Solar Energy Potential Based on Photogrammetry from Unmanned Aerial Vehicles. Electronics 2020, 9, 2144. https://doi.org/10.3390/electronics9122144 |
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https://hdl.handle.net/20.500.12585/9994 |
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https://www.mdpi.com/2079-9292/9/12/2144 |
| dc.identifier.doi.none.fl_str_mv |
10.3390/electronics9122144 |
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Universidad Tecnológica de Bolívar |
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Repositorio Universidad Tecnológica de Bolívar |
| identifier_str_mv |
Fuentes, J.E.; Moya, F.D.; Montoya, O.D. Method for Estimating Solar Energy Potential Based on Photogrammetry from Unmanned Aerial Vehicles. Electronics 2020, 9, 2144. https://doi.org/10.3390/electronics9122144 10.3390/electronics9122144 Universidad Tecnológica de Bolívar Repositorio Universidad Tecnológica de Bolívar |
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https://hdl.handle.net/20.500.12585/9994 https://www.mdpi.com/2079-9292/9/12/2144 |
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eng |
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eng |
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info:eu-repo/semantics/openAccess |
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Attribution-NonCommercial-NoDerivatives 4.0 Internacional |
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http://creativecommons.org/licenses/by-nc-nd/4.0/ Attribution-NonCommercial-NoDerivatives 4.0 Internacional http://purl.org/coar/access_right/c_abf2 |
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openAccess |
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21 páginas |
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application/pdf |
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Cartagena de Indias |
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Electronics 2020, 9(12), 2144 |
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Universidad Tecnológica de Bolívar |
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Fuentes, Jose Eduardo1015474b-238e-43e4-800c-c1fa9d66f1feMoya, Francisco David096b5df2-93da-46ad-ac99-025502e8f56bMontoya, Oscar Danilo8a59ede1-6a4a-4d2e-abdc-d0afb14d44802021-02-15T16:06:40Z2021-02-15T16:06:40Z2020-12-142021-02-12Fuentes, J.E.; Moya, F.D.; Montoya, O.D. Method for Estimating Solar Energy Potential Based on Photogrammetry from Unmanned Aerial Vehicles. Electronics 2020, 9, 2144. https://doi.org/10.3390/electronics9122144https://hdl.handle.net/20.500.12585/9994https://www.mdpi.com/2079-9292/9/12/214410.3390/electronics9122144Universidad Tecnológica de BolívarRepositorio Universidad Tecnológica de BolívarThis study presents a method to estimate the solar energy potential based on 3D data taken from unmanned aerial devices. The solar energy potential on the roof of a building was estimated before the placement of solar panels using photogrammetric data analyzed in a geographic information system, and the predictions were compared with the data recorded after installation. The areas of the roofs were chosen using digital surface models and the hemispherical viewshed algorithm, considering how the solar radiation on the roof surface would be affected by the orientation of the surface with respect to the sun, the shade of trees, surrounding objects, topography, and the atmospheric conditions. The results show that the efficiency percentages of the panels and the data modeled by the proposed method from surface models are very similar to the theoretical efficiency of the panels. Radiation potential can be estimated from photogrammetric data and a 3D model in great detail and at low cost. This method allows the estimation of solar potential as well as the optimization of the location and orientation of solar panels.21 páginasapplication/pdfenghttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://purl.org/coar/access_right/c_abf2Electronics 2020, 9(12), 2144Method for estimating solar energy potential based on photogrammetry from unmanned aerial vehiclesinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85Unmanned aerial vehicleSolar irradiationGeographic information systemsPhotovoltaic systemsDigital surface modelSolar panel efficiencyCartagena de IndiasInvestigadoresIDEAM; UPME. Atlas de radiación solar de Colombia. UPME (Unidad de Planeación Minero-Energética), IDEAM (Instituto de Hidrología, Meteorología y Estudios Ambientales). 2005. Available online: http://www.cambioclimatico.gov.co/documents/21021/21129/1-+Preliminares.pdf/2a207e33-fe43-4aa3-930d-70ba60b10d57 (accessed on 15 August 2020).Sawin, J.L.; Sverrisson, F.; Rickerson, W. Renewables 2014 Global Status Report; Renewable Energy Policy Network for the 21 Century: Paris, France, 2014; p. 46.Benavides Ballesteros, H.O.; Simbaqueva Fonseca, O.; Zapata Lesmes, H.J. Atlas de Radiación Solar, Ultravioleta y Ozono de Colombia; IDEAM-UPME-Fundación Universitaria Los Libertadores-Colciencias: Bogotá, Colombia, 2017.Kodysh, J.B.; Omitaomu, O.A.; Bhaduri, B.L.; Neish, B.S. Methodology for estimating solar potential on multiple building rooftops for photovoltaic systems. Sustain. Cities Soc. 2013, 8, 31–41.Renné, D.; George, R.; Wilcox, S.; Stoffel, T.; Myers, D.; Heimiller, D. Solar Resource Assessment; National Renewable Energy Lab. (NREL): Golden, CO, USA, 2008.UPME. 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