Article
Relational spatial database and multi-criteria decision methods for selecting optimum locations for photovoltaic power plants in the province of Seville (southern Spain)
Author/s | Díaz Cuevas, María del Pilar
Camarillo Naranjo, Juan Mariano Pérez Alcántara, Juan Pedro |
Department | Universidad de Sevilla. Departamento de Geografía Física y Análisis Geográfico Regional |
Publication Date | 2018 |
Deposit Date | 2024-02-05 |
Abstract | This work aims to develop a methodology for selecting optimum locations for the construction of photovoltaic power plants. In order to achieve this, a data model is defined and a multi-criteria decision methodology, based ... This work aims to develop a methodology for selecting optimum locations for the construction of photovoltaic power plants. In order to achieve this, a data model is defined and a multi-criteria decision methodology, based on an analytical hierarchy process, is applied. In contrast to the previous studies, in which the spatial analysis was undertaken by a GIS managing different layers of information (grids, shapefiles, etc.), in this work the spatial analysis is carried out by means of an open-code spatial database management system: PostgreSQL-PostGIS. This system uses Structure Query Language to manage different tables in the context of relational spatial databases. The case study is the province of Seville (southern Spain), where this sort of facility already exists. The empirical analysis concludes that a large percentage of the province of Seville has an excellent potential for the installation of photovoltaic plants. The methodology allows the dynamic updating of criteria and parameters, as well as the reproducibility, scalability and automating of analyses carried out in other fields. |
Referenced by | Díaz-Cuevas, P., Camarillo-Naranjo, J. M., & Pérez-Alcántara, J. P. (2018). Relational spatial database and multi-criteria decision methods for selecting optimum locations for photovoltaic power plants in the province of Seville (southern Spain). Clean Technologies and Environmental Policy, 20, 1889-1902. |
Files | Size | Format | View | Description |
---|---|---|---|---|
PDF_informativo.pdf | 121.0Kb | [PDF] | View/ | Texto completo no disponible por política editorial |
This item appears in the following collection(s)
This document is protected by intellectual and industrial property rights. Without prejudice to existing legal exemptions, its reproduction, distribution, public communication or transformation is prohibited without the authorization of the rights holder, unless otherwise indicated.