3D Solar Potential in the Urban Environment: A Case Study in Lisbon
The assessment of solar potential in the urban environment is an important instrument for policy decision regarding renewable energy deployment in the city. This paper presents an experimentally validated 3D solar potential model for rooftops and facades from LIDAR data considering anisotropic diffu...
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Format: | Article |
Language: | English |
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MDPI AG
2019-09-01
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Series: | Energies |
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Online Access: | https://www.mdpi.com/1996-1073/12/18/3457 |
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author | Miguel Centeno Brito Paula Redweik Cristina Catita Sara Freitas Miguel Santos |
author_facet | Miguel Centeno Brito Paula Redweik Cristina Catita Sara Freitas Miguel Santos |
author_sort | Miguel Centeno Brito |
collection | DOAJ |
description | The assessment of solar potential in the urban environment is an important instrument for policy decision regarding renewable energy deployment in the city. This paper presents an experimentally validated 3D solar potential model for rooftops and facades from LIDAR data considering anisotropic diffuse irradiation. The data visualization is rendered in the ArcGIS platform using CityEngine to automatically generate 3D models from 2D geometries. The model is validated against summer and winter measurements of photovoltaic performance on a facade. A case study for two densely packed urban areas in Lisbon, Portugal, are presented. Facades are shown to increase the solar potential by 10 to 15%. |
first_indexed | 2024-04-11T21:45:34Z |
format | Article |
id | doaj.art-0cbbe796cfdf4c0fa9d7d5003cedb01c |
institution | Directory Open Access Journal |
issn | 1996-1073 |
language | English |
last_indexed | 2024-04-11T21:45:34Z |
publishDate | 2019-09-01 |
publisher | MDPI AG |
record_format | Article |
series | Energies |
spelling | doaj.art-0cbbe796cfdf4c0fa9d7d5003cedb01c2022-12-22T04:01:25ZengMDPI AGEnergies1996-10732019-09-011218345710.3390/en12183457en121834573D Solar Potential in the Urban Environment: A Case Study in LisbonMiguel Centeno Brito0Paula Redweik1Cristina Catita2Sara Freitas3Miguel Santos4Instituto Dom Luiz, Faculdade de Ciências, Universidade de Lisboa, 1749–016 Lisboa, PortugalInstituto Dom Luiz, Faculdade de Ciências, Universidade de Lisboa, 1749–016 Lisboa, PortugalInstituto Dom Luiz, Faculdade de Ciências, Universidade de Lisboa, 1749–016 Lisboa, PortugalInstituto Dom Luiz, Faculdade de Ciências, Universidade de Lisboa, 1749–016 Lisboa, PortugalInstituto Dom Luiz, Faculdade de Ciências, Universidade de Lisboa, 1749–016 Lisboa, PortugalThe assessment of solar potential in the urban environment is an important instrument for policy decision regarding renewable energy deployment in the city. This paper presents an experimentally validated 3D solar potential model for rooftops and facades from LIDAR data considering anisotropic diffuse irradiation. The data visualization is rendered in the ArcGIS platform using CityEngine to automatically generate 3D models from 2D geometries. The model is validated against summer and winter measurements of photovoltaic performance on a facade. A case study for two densely packed urban areas in Lisbon, Portugal, are presented. Facades are shown to increase the solar potential by 10 to 15%.https://www.mdpi.com/1996-1073/12/18/3457roofsfacadessolar potentialphotovoltaicsvalidation |
spellingShingle | Miguel Centeno Brito Paula Redweik Cristina Catita Sara Freitas Miguel Santos 3D Solar Potential in the Urban Environment: A Case Study in Lisbon Energies roofs facades solar potential photovoltaics validation |
title | 3D Solar Potential in the Urban Environment: A Case Study in Lisbon |
title_full | 3D Solar Potential in the Urban Environment: A Case Study in Lisbon |
title_fullStr | 3D Solar Potential in the Urban Environment: A Case Study in Lisbon |
title_full_unstemmed | 3D Solar Potential in the Urban Environment: A Case Study in Lisbon |
title_short | 3D Solar Potential in the Urban Environment: A Case Study in Lisbon |
title_sort | 3d solar potential in the urban environment a case study in lisbon |
topic | roofs facades solar potential photovoltaics validation |
url | https://www.mdpi.com/1996-1073/12/18/3457 |
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