Document details

Suitability analysis of solar photovoltaic farms

Author(s): Rodrigues, Sara ; Coelho, Mário Baptista ; Cabral, Pedro

Date: 2017

Origin: Repositório Institucional da UNL

Subject(s): Geographic Information Systems; Multi-criteria Evaluation; Ourique; Photovoltaic potential; Site Suitability; Solar energy; Renewable Energy, Sustainability and the Environment; Energy Engineering and Power Technology; SDG 7 - Affordable and Clean Energy


Description

Rodrigues, S., Coelho, M. B., & Cabral, P. (2017). Suitability analysis of solar photovoltaic farms: A Portuguese case study. International Journal of Renewable Energy Research (IJRER), 7(1), 244-254.

The threat that burning fossil fuels poses to global warming is forcing society to look for renewable energy solutions. Among these, the use of solar energy has a high potential for growth in the current international energy mix. It is important to provide information to decision-makers that deal with the installation of new production facilities. This study combines Geographical Information Systems (GIS) and Multi-criteria Evaluation (MCE) techniques to assess the land suitability for the installation of solar farms in the municipality of Ourique in the South of Portugal. Several exclusionary constraints and weighting factors were used in the modelling process with the help of expert knowledge and an extensive literature review. Results show that approximately 21% of the area is classified as "highly suitable" for installing solar farms. These results are in line with the existing and planned photovoltaic (PV) projects in the region, which are mostly located in "medium" or "medium to high" suitable areas. This approach can easily be adapted to include different criteria and/or different weights to deliver information to managers, helping them in the decision regarding locating solar farms.

Document Type Journal article
Language English
Contributor(s) NOVA Information Management School (NOVA IMS); Information Management Research Center (MagIC) - NOVA Information Management School; RUN
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