Wind Energy Development in India and a Methodology for Evaluating Performance of Wind Farm Clusters
Joint Authors
Kulkarni, Sanjeev H.
Anil, Tumkur Ramakrishnarao
Gowdar, Rajakumar Dyamenally
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-11-10
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
With maturity of advanced technologies and urgent requirement for maintaining a healthy environment with reasonable price, India is moving towards a trend of generating electricity from renewable resources.
Wind energy production, with its relatively safer and positive environmental characteristics, has evolved from a marginal activity into a multibillion dollar industry today.
Wind energy power plants, also known as wind farms, comprise multiple wind turbines.
Though there are several wind-mill clusters producing energy in different geographical locations across the world, evaluating their performance is a complex task and is an important focus for stakeholders.
In this work an attempt is made to estimate the performance of wind clusters employing a multicriteria approach.
Multiple factors that affect wind farm operations are analyzed by taking experts opinions, and a performance ranking of the wind farms is generated.
The weights of the selection criteria are determined by pairwise comparison matrices of the Analytic Hierarchy Process (AHP).
The proposed methodology evaluates wind farm performance based on technical, economic, environmental, and sociological indicators.
Both qualitative and quantitative parameters were considered.
Empirical data were collected through questionnaire from the selected wind farms of Belagavi district in the Indian State of Karnataka.
This proposed methodology is a useful tool for cluster analysis.
American Psychological Association (APA)
Kulkarni, Sanjeev H.& Anil, Tumkur Ramakrishnarao& Gowdar, Rajakumar Dyamenally. 2016. Wind Energy Development in India and a Methodology for Evaluating Performance of Wind Farm Clusters. Journal of Renewable Energy،Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1110298
Modern Language Association (MLA)
Kulkarni, Sanjeev H.…[et al.]. Wind Energy Development in India and a Methodology for Evaluating Performance of Wind Farm Clusters. Journal of Renewable Energy No. 2016 (2016), pp.1-11.
https://search.emarefa.net/detail/BIM-1110298
American Medical Association (AMA)
Kulkarni, Sanjeev H.& Anil, Tumkur Ramakrishnarao& Gowdar, Rajakumar Dyamenally. Wind Energy Development in India and a Methodology for Evaluating Performance of Wind Farm Clusters. Journal of Renewable Energy. 2016. Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1110298
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1110298