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Analyzing territory for the sustainable development of solar photovoltaic power using GIS databases

Solar energy generated by grid-connected photovoltaic (GCPV) systems is considered an important alternative electric energy source because of its clean energy production system, easy installation, and low operating and maintenance costs. This has led to it becoming more popular compared with other r...

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Autores principales: Guaita-Pradas, Inmaculada, Marques-Perez, Inmaculada, Gallego, Aurea, Segura, Baldomero
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6864026/
https://www.ncbi.nlm.nih.gov/pubmed/31745665
http://dx.doi.org/10.1007/s10661-019-7871-8
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author Guaita-Pradas, Inmaculada
Marques-Perez, Inmaculada
Gallego, Aurea
Segura, Baldomero
author_facet Guaita-Pradas, Inmaculada
Marques-Perez, Inmaculada
Gallego, Aurea
Segura, Baldomero
author_sort Guaita-Pradas, Inmaculada
collection PubMed
description Solar energy generated by grid-connected photovoltaic (GCPV) systems is considered an important alternative electric energy source because of its clean energy production system, easy installation, and low operating and maintenance costs. This has led to it becoming more popular compared with other resources. However, finding optimal sites for the construction of solar farms is a complex task with many factors to be taken into account (environmental, social, legal and political, technical-economic, etc.), which classic site selection models do not address efficiently. There are few studies on the criteria that should be used when identifying sites for solar energy installations (large grid-connected photovoltaic systems which have more than 100 kWp of installed capacity). It is therefore essential to change the way site selection processes are approached and to seek new methodologies for location analysis. A geographic information system (GIS) is a tool which can provide an effective solution to this problem. Here, we combine legal, political, and environmental criteria, which include solar radiation intensity, local physical terrain, environment, and climate, as well as location criteria such as the distance from roads and the nearest power substations. Additionally, we use GIS data (time series of solar radiation, digital elevation models (DEM), land cover, and temperature) as further input parameters. Each individual site is assessed using a unique and cohesive approach to select the most appropriate locations for solar farm development in the Valencian Community, a Spanish region in the east of Spain.
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spelling pubmed-68640262019-12-05 Analyzing territory for the sustainable development of solar photovoltaic power using GIS databases Guaita-Pradas, Inmaculada Marques-Perez, Inmaculada Gallego, Aurea Segura, Baldomero Environ Monit Assess Article Solar energy generated by grid-connected photovoltaic (GCPV) systems is considered an important alternative electric energy source because of its clean energy production system, easy installation, and low operating and maintenance costs. This has led to it becoming more popular compared with other resources. However, finding optimal sites for the construction of solar farms is a complex task with many factors to be taken into account (environmental, social, legal and political, technical-economic, etc.), which classic site selection models do not address efficiently. There are few studies on the criteria that should be used when identifying sites for solar energy installations (large grid-connected photovoltaic systems which have more than 100 kWp of installed capacity). It is therefore essential to change the way site selection processes are approached and to seek new methodologies for location analysis. A geographic information system (GIS) is a tool which can provide an effective solution to this problem. Here, we combine legal, political, and environmental criteria, which include solar radiation intensity, local physical terrain, environment, and climate, as well as location criteria such as the distance from roads and the nearest power substations. Additionally, we use GIS data (time series of solar radiation, digital elevation models (DEM), land cover, and temperature) as further input parameters. Each individual site is assessed using a unique and cohesive approach to select the most appropriate locations for solar farm development in the Valencian Community, a Spanish region in the east of Spain. Springer International Publishing 2019-11-20 2019 /pmc/articles/PMC6864026/ /pubmed/31745665 http://dx.doi.org/10.1007/s10661-019-7871-8 Text en © The Author(s) 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Article
Guaita-Pradas, Inmaculada
Marques-Perez, Inmaculada
Gallego, Aurea
Segura, Baldomero
Analyzing territory for the sustainable development of solar photovoltaic power using GIS databases
title Analyzing territory for the sustainable development of solar photovoltaic power using GIS databases
title_full Analyzing territory for the sustainable development of solar photovoltaic power using GIS databases
title_fullStr Analyzing territory for the sustainable development of solar photovoltaic power using GIS databases
title_full_unstemmed Analyzing territory for the sustainable development of solar photovoltaic power using GIS databases
title_short Analyzing territory for the sustainable development of solar photovoltaic power using GIS databases
title_sort analyzing territory for the sustainable development of solar photovoltaic power using gis databases
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6864026/
https://www.ncbi.nlm.nih.gov/pubmed/31745665
http://dx.doi.org/10.1007/s10661-019-7871-8
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