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Identifying key influences for planning acceptance of onshore wind turbines

Identifying key influences for planning acceptance of onshore wind turbines
Identifying key influences for planning acceptance of onshore wind turbines
There is a global drive to develop renewable energy power generation to reduce environmental impacts and enhance energy security especially through indigenous resources. Wind energy conversion both on and offshore is one of the most effective technologies to provide sustainable power. In the deployments of such technologies, geographical information systems are extensively used to identify suitable sites for the installation of wind turbines. However, there are concerns that such approaches fail to model site suitability accurately, and in particular fail to account for the difficulties faced in gaining planning permission. This study has explored whether the planning success of proposed wind turbine projects can be predicted using a range of geospatial parameters based on Great Britain as a case study. Logistic regression is used to assess the relationship between appropriate variables and planning outcome. The results indicate that the size of the project, percentage of the local population with high levels of qualifications, the average age, and local political composition emerge as key influences affecting planning approval. To the authors’ knowledge, this is the first study which has quantitatively linked regional social and political data to the planning outcome of wind turbines. These findings can help reduce the level of planning issues encountered for proposed wind turbine, improving the accuracy of GIS modelling of wind turbines.
Harper, Michael
163d2988-3ef3-47c6-a2f9-504063d258b5
James, Patrick
da0be14a-aa63-46a7-8646-a37f9a02a71b
Anderson, Benjamin
01e98bbd-b402-48b0-b83e-142341a39b2d
Bahaj, Abubakr
a64074cc-2b6e-43df-adac-a8437e7f1b37
Harper, Michael
163d2988-3ef3-47c6-a2f9-504063d258b5
James, Patrick
da0be14a-aa63-46a7-8646-a37f9a02a71b
Anderson, Benjamin
01e98bbd-b402-48b0-b83e-142341a39b2d
Bahaj, Abubakr
a64074cc-2b6e-43df-adac-a8437e7f1b37

Harper, Michael, James, Patrick, Anderson, Benjamin and Bahaj, Abubakr (2017) Identifying key influences for planning acceptance of onshore wind turbines At 30th International Conference on Efficiency, Cost, Optimisation, Simulation and Environmental Impact of Energy Systems, San Diego, United States. 02 - 06 Jul 2017. 12 pp.

Record type: Conference or Workshop Item (Paper)

Abstract

There is a global drive to develop renewable energy power generation to reduce environmental impacts and enhance energy security especially through indigenous resources. Wind energy conversion both on and offshore is one of the most effective technologies to provide sustainable power. In the deployments of such technologies, geographical information systems are extensively used to identify suitable sites for the installation of wind turbines. However, there are concerns that such approaches fail to model site suitability accurately, and in particular fail to account for the difficulties faced in gaining planning permission. This study has explored whether the planning success of proposed wind turbine projects can be predicted using a range of geospatial parameters based on Great Britain as a case study. Logistic regression is used to assess the relationship between appropriate variables and planning outcome. The results indicate that the size of the project, percentage of the local population with high levels of qualifications, the average age, and local political composition emerge as key influences affecting planning approval. To the authors’ knowledge, this is the first study which has quantitatively linked regional social and political data to the planning outcome of wind turbines. These findings can help reduce the level of planning issues encountered for proposed wind turbine, improving the accuracy of GIS modelling of wind turbines.

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Accepted/In Press date: May 2017
Published date: July 2017
Venue - Dates: 30th International Conference on Efficiency, Cost, Optimisation, Simulation and Environmental Impact of Energy Systems, San Diego, United States, 2017-07-02 - 2017-07-06
Organisations: Energy & Climate Change Group, Southampton Marine & Maritime Institute, Education Hub

Identifiers

Local EPrints ID: 408181
URI: http://eprints.soton.ac.uk/id/eprint/408181
PURE UUID: 22d29e4c-1641-42ba-8626-04c2b828413d
ORCID for Benjamin Anderson: ORCID iD orcid.org/0000-0003-2092-4406
ORCID for Abubakr Bahaj: ORCID iD orcid.org/0000-0002-0043-6045

Catalogue record

Date deposited: 16 May 2017 04:02
Last modified: 17 Jul 2017 13:42

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