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Review: The use of geographic information systems in wind turbine and wind energy research

Authors: Tanya Christidis; Jane Law;

Review: The use of geographic information systems in wind turbine and wind energy research

Abstract

This paper is a review of wind energy articles that use geographic information systems (GIS). It is the hope of the authors that the article will inform renewable energy researchers of the potential for using GIS in their work, and geographers and spatial scientists to learn about the opportunities in wind turbine research. GIS can be used for wind energy planning to determine whether there is adequate wind energy at a site as well as whether the landscape and land-uses are appropriate for wind turbine developments. These types of GIS applications have been used worldwide, typically using previously collected data. To determine which sites are preferable, variables of interest are treated as distinct layers in GIS, and areas that are unsuitable for wind turbine development become evident. Areas that are not preferred for wind turbines are environmentally protected areas or landscapes that cannot be developed effectively. GIS is the ideal tool for identifying preferred sites for wind farms, especially when using decision support systems. Future decision support system research in GIS should consider on-site conditions as well as the opinion of stakeholders and local residents. Involving stakeholders in the decision-making process, either through increased communication or visualization activities that use GIS can lead to higher acceptance of wind turbine installations. Examining the failures and successes of other wind turbine installations may be informative for future developments

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    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
15
Top 10%
Top 10%
Top 10%
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