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Identifying suitable locations for onshore wind turbines using a GIS-MCDA approach

Identifying suitable locations for onshore wind turbines using a GIS-MCDA approach
Identifying suitable locations for onshore wind turbines using a GIS-MCDA approach
Onshore wind generation is one of the most cost-effective methods of renewable electricity generation. However, there is often difficulty in identifying suitable sites for development. To assist such systems, geospatial information systems are extensively used in identifying suitable sites for wind turbines: these models predominantly focus on the technical and legislative constraints, and have a limited understanding of the social issues surrounding development. As a result, there are concerns with the validity of these models in accurately determining suitable sites and fail to acknowledge the strong local opposition which some projects can experience. Building upon previous statistical analysis, this paper presents a geospatial multi-criteria decision analysis that integrates the technological, legislative, and social constraints to determine suitable sites for onshore wind turbine development. To the authors' knowledge, this is the first study that aims to understand whether suitable sites are likely to receive planning permission and to integrate this into the decision-making process. The findings highlight the importance of considering the planning constraints within modelling and demonstrates the limitations in identifying suitable sites for development.
Harper, Michael
163d2988-3ef3-47c6-a2f9-504063d258b5
Anderson, Benjamin
01e98bbd-b402-48b0-b83e-142341a39b2d
James, Patrick
da0be14a-aa63-46a7-8646-a37f9a02a71b
Bahaj, Abubakr
a64074cc-2b6e-43df-adac-a8437e7f1b37
Harper, Michael
163d2988-3ef3-47c6-a2f9-504063d258b5
Anderson, Benjamin
01e98bbd-b402-48b0-b83e-142341a39b2d
James, Patrick
da0be14a-aa63-46a7-8646-a37f9a02a71b
Bahaj, Abubakr
a64074cc-2b6e-43df-adac-a8437e7f1b37

Harper, Michael, Anderson, Benjamin, James, Patrick and Bahaj, Abubakr (2017) Identifying suitable locations for onshore wind turbines using a GIS-MCDA approach. 16th International Conference on Sustainable Energy Technologies, Italy. 17 - 20 Jul 2017. 11 pp .

Record type: Conference or Workshop Item (Paper)

Abstract

Onshore wind generation is one of the most cost-effective methods of renewable electricity generation. However, there is often difficulty in identifying suitable sites for development. To assist such systems, geospatial information systems are extensively used in identifying suitable sites for wind turbines: these models predominantly focus on the technical and legislative constraints, and have a limited understanding of the social issues surrounding development. As a result, there are concerns with the validity of these models in accurately determining suitable sites and fail to acknowledge the strong local opposition which some projects can experience. Building upon previous statistical analysis, this paper presents a geospatial multi-criteria decision analysis that integrates the technological, legislative, and social constraints to determine suitable sites for onshore wind turbine development. To the authors' knowledge, this is the first study that aims to understand whether suitable sites are likely to receive planning permission and to integrate this into the decision-making process. The findings highlight the importance of considering the planning constraints within modelling and demonstrates the limitations in identifying suitable sites for development.

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Accepted/In Press date: 15 June 2017
Published date: 17 July 2017
Venue - Dates: 16th International Conference on Sustainable Energy Technologies, Italy, 2017-07-17 - 2017-07-20

Identifiers

Local EPrints ID: 412600
URI: http://eprints.soton.ac.uk/id/eprint/412600
PURE UUID: fa301a78-c17f-40d0-9cba-8e0044b8f5c0
ORCID for Benjamin Anderson: ORCID iD orcid.org/0000-0003-2092-4406
ORCID for Patrick James: ORCID iD orcid.org/0000-0002-2694-7054
ORCID for Abubakr Bahaj: ORCID iD orcid.org/0000-0002-0043-6045

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Date deposited: 24 Jul 2017 16:32
Last modified: 18 Feb 2021 17:21

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