The introduction of renewable energy legislation in the European Union aims to encourage development of utility-scale renewable energy sources. Site location is a key part of strategic planning for renewables such as solar energy and is hampered in complex landscapes due to high spatial heterogeneity. This heterogeneity needs to be accounted for and incorporated into decision-making processes. This study used high-resolution spatial data in a Geographic Information System (GIS) alongside Analytical Hierarchy Process (AHP) and Multi-Criteria Decision Making (MCDM) to determine the potential for large-scale solar developments using Northern Ireland as a case study. Criteria were analysed using a weighted sum overlay, with weights calculated using a pairwise comparison method. The resulting Suitability Index model defined the level of suitability for 10% of the region with 392km2 identified as very suitable. Two potential site size criteria were then defined, based on manually mapped extents of current solar developments that identified 462 potential sites. A validation exercise identified modelled potential sites had high coincidence with existing and planned solar developments in the study area. The methodology can be applied across regions with complex landscape and settlement patterns with high accuracy and can be utilised by policymakers or renewable energy developers to efficiently target potential utility-scale solar developments.
Bibliographical noteFunding Information:
The authors would also like to thank the representative from Elgin Energy, for providing a local developer's perspective regarding site suitability and the representative from Land and Property Services (LPS), for highlighting relevant data from a policymaker viewpoint. Sentinel-2A/B scenes were sourced as open data from the European Space Agency (ESA) Copernicus Open Access Hub. LPS data are provided as part of the Northern Ireland Mapping Agreement (NIMA) of which Ulster University (UU) is a participant (NIMA S&LA 577.319). Other spatial data are licensed under the Open Government Licence v3.0. This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.
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- Analytical hierarchy process
- Multi-criteria decision making
- Site selection