The stress on demand and supply gap of electricity has lead the globe to face acute problems. Further use of fossil fuel based energies for improved life and development have lead to adverse environmental effects, like climate change. Offshore wind farms have great potential as sustainable energy source. This accentuates to focus attention on technical issues such as selection, requirements, characteristics and power production from wind turbine. This paper presents a methodology developed for selection of optimum windmill for a specific site based on capacity factor approach by proper analysis of wind data. Offshore wind data for the purpose is obtained from, INCOIS HyderabadIndia for a particular site under proposal in India. The wind data is used to generate mean wind speeds for a typical day in a month by using MATLAB program. The windmill with the highest average capacity factor is the optimum one and to be recommended. The results of said analysis are presented. Such analysis at the planning and development stages of installation will enable the wind power developer or the power utilities to make a judicious choice of potential site and wind turbine generator system from the available potential sites and wind turbine generators respectively.
[1]
V. G. Rau,et al.
Site matching of wind turbine generators: a case study
,
1999
.
[2]
Ziyad M. Salameh,et al.
Methodology for optimally sizing the combination of a battery bank and PV array in a wind/PV hybrid system
,
1996
.
[3]
Z. M. Salameh,et al.
Optimum windmill-site matching
,
1992
.
[4]
Li Wang,et al.
A Study on Generator Capacity for Wind Turbines Under Various Tower Heights and Rated Wind Speeds Using Weibull Distribution
,
2008,
IEEE Transactions on Energy Conversion.
[5]
Stan Mark Kaplan,et al.
Wind Power in the United States: Technology, Economic, and Policy Issues
,
2008
.
[6]
Suresh H. Jangamshetti,et al.
Optimum siting of wind turbine generators
,
2001
.