Published May 2019 | Version v1
Journal article

Onshore wind and the likelihood of planning acceptance: Learning from a Great Britain context

  • 1. Energy & Climate Change Division, Faculty of Engineering and the Environment, University of Southampton, University Road, Southampton, SO17 1BJ (United Kingdom)

Description

Geospatial modelling is extensively used to identify suitable sites for the installation of onshore wind turbines, with the starting point being the estimate of exploitable resource. However, there are concerns that such approaches do not accurately consider the social issues surrounding such projects, resulting in large numbers of projects subsequently being rejected at the planning permission stage. Using the location of 1721 historic wind turbine planning applications in Great Britain, this paper explores whether the planning success of proposed wind turbine projects can be better predicted using a range of geospatial, social and political parameters. The results indicate that the size of the project, local demographics and the proximity to existing wind turbines are key influences affecting planning approval. The paper demonstrates that quantitatively linking local social and political data enhances the prediction of the planning outcome of wind turbine proposals, and highlights that geospatial parameters are necessary but in isolation, not sufficient for assessing the suitability of potential sites. These results also suggest that national policy is restricting the development of onshore wind energy in regions which appear generally supportive of wind energy.

Additional details

Identifiers

DOI
10.1016/j.enpol.2019.01.002;
PII
S0301421519300023;

Publishing Information

Journal Title
Energy Policy
Journal Volume
128
Journal Page Range
p. 954-966
ISSN
0301-4215
CODEN
ENPYAC

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
55007448
Subject category
S29: ENERGY PLANNING, POLICY AND ECONOMY; S17: WIND ENERGY;
Descriptors DEI
COMPUTERIZED SIMULATION; ENERGY POLICY; ENVIRONMENTAL POLICY; WIND; WIND TURBINES
Descriptors DEC
EQUIPMENT; GOVERNMENT POLICIES; MACHINERY; SIMULATION; TURBINES; TURBOMACHINERY

Optional Information

Copyright
Copyright (c) 2019 The Author(s). Published by Elsevier Ltd.