EconPapers    
Economics at your fingertips  
 

Fault analysis of wind turbine generators in India

S. Iniyan, L. Suganthi and T.R. Jagadeesan

Renewable Energy, 1996, vol. 9, issue 1, 772-775

Abstract: Wind energy has become a techno-economically viable source of energy and is considered as a preferable renewable energy resources option in the power sector in India. If the current pace of development is maintained for at least a few decades, India would soon possess the highest windfarm installation in the world and a significant portion of the country's energy needs could be met through wind power. The available wind energy resource can be utilised to the greater extent by optimally siting the windfarms, by appropriate machine selection and by proper maintenance. An attempt has been made to evaluate the performance of wind turbine generators for the largest demonstration windfarm (10 MW) in Asia. This windfarm is situated at Lamba, Gujarat State with 50 wind turbine machines of 200 kW capacity. The technical availability, real availability, capacity factor and maximum down time of the wind turbine generators have been calculated and plotted over the year. About 30 fault conditions have been identified and analysed by pareto diagram.

Keywords: Wind Energy; Performance; Fault conditions (search for similar items in EconPapers)
Date: 1996
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0960148196883972
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:9:y:1996:i:1:p:772-775

DOI: 10.1016/0960-1481(96)88397-2

Access Statistics for this article

Renewable Energy is currently edited by Soteris A. Kalogirou and Paul Christodoulides

More articles in Renewable Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:renene:v:9:y:1996:i:1:p:772-775