Efficiency evaluation for wind turbines using stochastic frontier analysis [Stokastik sinir analizi kullanarak rözgâr törbinleri için etkinlik deǧerlendirmesi]

In this paper,stochastic frontier analysis (sfa) technique is contributed to measure the productive efficiency of a working wind farm. in the current literature sfa,which is one of the commonly used efficiency analysis tool in many different areas,has not been studied previously to measure wind turbine efficiencies. stochastic nature is the key advantage of sfa,whereby frontier deviations include both external effects that are not within the company's control and technical inefficiency. the proposed approach was used to calculate efficiency of each wind turbines to compare each other and to determine whole wind farm efficiency according to four different cases. these cases were introduced to determine the effects of different input parameters on the efficiency levels. thereby,the other crucial interest of this study is to answer which factors are effective to measure the efficiency of a wind turbine by implementing four different input oriented cases. also,these four cases studied under three different time periods; monthly averaged data,twelve monthly averaged data,and twenty four monthly data. results showed that different input groups gave different efficiency results. whether the efficiency loses originated from statistical noise or technical inefficiency could be concluded by the advantage of sfa.