The Urban Rooftop Photovoltaic Potential Determination

Urban areas can be considered high-potential energy producers alongside their notable portion of energy consumption. Solar energy is the most promising sustainable energy in which urban environments can produce electricity by using rooftop-mounted photovoltaic systems. While the precise knowledge of...

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Main Authors: Elham Fakhraian, Marc Alier, Francesc Valls Dalmau, Alireza Nameni, Maria José Casañ Guerrero
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Sustainability
Subjects:
GIS
Online Access:https://www.mdpi.com/2071-1050/13/13/7447
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spelling doaj-1d2e865422d2472c9a80c0d79db16f282021-07-15T15:47:49ZengMDPI AGSustainability2071-10502021-07-01137447744710.3390/su13137447The Urban Rooftop Photovoltaic Potential DeterminationElham Fakhraian0Marc Alier1Francesc Valls Dalmau2Alireza Nameni3Maria José Casañ Guerrero4Institute of Sustainability, Universitat Politècnica de Catalunya, 08034 Barcelona, SpainDepartment of Services and Information Systems Engineering (ESSI), Universitat Politècnica de Catalunya, 08034 Barcelona, SpainDepartment of Architectural Representation, Universitat Politècnica de Catalunya, 08028 Barcelona, SpainInstitute of Sustainability, Universitat Politècnica de Catalunya, 08034 Barcelona, SpainDepartment of Services and Information Systems Engineering (ESSI), Universitat Politècnica de Catalunya, 08034 Barcelona, SpainUrban areas can be considered high-potential energy producers alongside their notable portion of energy consumption. Solar energy is the most promising sustainable energy in which urban environments can produce electricity by using rooftop-mounted photovoltaic systems. While the precise knowledge of electricity production from solar energy resources as well as the needed parameters to define the optimal locations require an adequate study, effective guidelines for optimal installation of solar photovoltaics remain a challenge. This paper aims to make a complete systematic review and states the vital steps with their data resources to find the urban rooftop PV potential. Organizing the methodologies is another novelty of this paper to create a complete global basis for future studies and improve a more detailed degree in this particular field.https://www.mdpi.com/2071-1050/13/13/7447rooftop photovoltaic potentialsolar photovoltaicsurban solar potentialLIDARGISmachine learning
collection DOAJ
language English
format Article
sources DOAJ
author Elham Fakhraian
Marc Alier
Francesc Valls Dalmau
Alireza Nameni
Maria José Casañ Guerrero
spellingShingle Elham Fakhraian
Marc Alier
Francesc Valls Dalmau
Alireza Nameni
Maria José Casañ Guerrero
The Urban Rooftop Photovoltaic Potential Determination
Sustainability
rooftop photovoltaic potential
solar photovoltaics
urban solar potential
LIDAR
GIS
machine learning
author_facet Elham Fakhraian
Marc Alier
Francesc Valls Dalmau
Alireza Nameni
Maria José Casañ Guerrero
author_sort Elham Fakhraian
title The Urban Rooftop Photovoltaic Potential Determination
title_short The Urban Rooftop Photovoltaic Potential Determination
title_full The Urban Rooftop Photovoltaic Potential Determination
title_fullStr The Urban Rooftop Photovoltaic Potential Determination
title_full_unstemmed The Urban Rooftop Photovoltaic Potential Determination
title_sort urban rooftop photovoltaic potential determination
publisher MDPI AG
series Sustainability
issn 2071-1050
publishDate 2021-07-01
description Urban areas can be considered high-potential energy producers alongside their notable portion of energy consumption. Solar energy is the most promising sustainable energy in which urban environments can produce electricity by using rooftop-mounted photovoltaic systems. While the precise knowledge of electricity production from solar energy resources as well as the needed parameters to define the optimal locations require an adequate study, effective guidelines for optimal installation of solar photovoltaics remain a challenge. This paper aims to make a complete systematic review and states the vital steps with their data resources to find the urban rooftop PV potential. Organizing the methodologies is another novelty of this paper to create a complete global basis for future studies and improve a more detailed degree in this particular field.
topic rooftop photovoltaic potential
solar photovoltaics
urban solar potential
LIDAR
GIS
machine learning
url https://www.mdpi.com/2071-1050/13/13/7447
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