Applications of solar mapping in the urban environment

Teresa G. Santos; Nuno Gomes; S. Freire; M. C. Brito; L. Santos; J. A. Tenedório

doi:10.1016/j.apgeog.2014.03.008

Applications of solar mapping in the urban environment

Teresa G. Santos, Nuno Gomes, S. Freire, M. C. Brito, L. Santos, J. A. Tenedório

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Abstract

Promoting the use of solar energy in urban environments requires knowing the geographical distribution and characteristics of the best places to implement solar systems. In this context, buildings can be used to locally generate electricity. Based on remote sensing data, the city's surface can be modeled and the solar income at each location can be estimated. The present study assesses photovoltaic (PV) potential of residential buildings. Two variables are modeled, the income of solar energy at the roof tops, and the population at the building level. The model is tested in Lisbon, Portugal, using Geographic Information Systems (GIS) based solar models and Light Detection and Ranging (LiDAR) data. The total PV potential is assessed and compared with the local electricity demand. The results constitute an initial assessment of the city's solar potential that can be used to support management decisions regarding investments in solar systems.

Original language	English
Pages (from-to)	48-57
Number of pages	10
Journal	Applied Geography
Volume	51
DOIs	https://doi.org/10.1016/j.apgeog.2014.03.008
Publication status	Published - Jul 2014

Keywords

GIS
LiDAR
Photovoltaic potential
Solar radiation
Urban

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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T_Santos_J_Tenedorio_Solar_MappingAccepted author manuscript, 1.21 MBLicence: Unspecified

Cite this

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abstract = "Promoting the use of solar energy in urban environments requires knowing the geographical distribution and characteristics of the best places to implement solar systems. In this context, buildings can be used to locally generate electricity. Based on remote sensing data, the city's surface can be modeled and the solar income at each location can be estimated. The present study assesses photovoltaic (PV) potential of residential buildings. Two variables are modeled, the income of solar energy at the roof tops, and the population at the building level. The model is tested in Lisbon, Portugal, using Geographic Information Systems (GIS) based solar models and Light Detection and Ranging (LiDAR) data. The total PV potential is assessed and compared with the local electricity demand. The results constitute an initial assessment of the city's solar potential that can be used to support management decisions regarding investments in solar systems.",

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AU - Freire, S.

AU - Brito, M. C.

AU - Santos, L.

AU - Tenedório, J. A.

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AB - Promoting the use of solar energy in urban environments requires knowing the geographical distribution and characteristics of the best places to implement solar systems. In this context, buildings can be used to locally generate electricity. Based on remote sensing data, the city's surface can be modeled and the solar income at each location can be estimated. The present study assesses photovoltaic (PV) potential of residential buildings. Two variables are modeled, the income of solar energy at the roof tops, and the population at the building level. The model is tested in Lisbon, Portugal, using Geographic Information Systems (GIS) based solar models and Light Detection and Ranging (LiDAR) data. The total PV potential is assessed and compared with the local electricity demand. The results constitute an initial assessment of the city's solar potential that can be used to support management decisions regarding investments in solar systems.

KW - GIS

KW - LiDAR

KW - Photovoltaic potential

KW - Solar radiation

KW - Urban

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JF - Applied Geography

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Applications of solar mapping in the urban environment

Abstract

Keywords

UN SDGs

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