%0 Journal Article
	%A Dongheon Shin and  Kyungnam Ko and  Jongchul Huh
	%D 2015
	%J International Journal of Environmental and Ecological Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 97, 2015
	%T A Study on Method for Identifying Capacity Factor Declination of Wind Turbines
	%U https://publications.waset.org/pdf/10000171
	%V 97
	%X The investigation on wind turbine degradation was
carried out using the nacelle wind data. The three Vestas V80-2MW
wind turbines of Sungsan wind farm in Jeju Island, South Korea were
selected for this work. The SCADA data of the wind farm for five
years were analyzed to draw power curve of the turbines. It is assumed
that the wind distribution is the Rayleigh distribution to calculate the
normalized capacity factor based on the drawn power curve of the
three wind turbines for each year. The result showed that the reduction
of power output from the three wind turbines occurred every year and
the normalized capacity factor decreased to 0.12%/year on average.

	%P 55 - 59