Suitable Wind Turbine Identification Using Capacity Factor And Economic Feasibility

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Author(s) Ali K. Resen | Dr. Firas H. Abdulrazzaq | Jawad S. Nmr
Pages 404-411
Volume 4
Issue 8
Date August, 2015
Keywords Weibull Distribution, Capacity Factor, Payback Period, Cost.

More studies either investigated wind characteristics (wind speed and wind energy density) only, or focused on part of wind turbine characteristics of a given wind turbine generator (WTG) such as a capacity factor (CF). In this paper the properties of wind turbines and wind characteristics were studied to select the optimum wind turbines for the site. On site observation were performed this study, typical metrological data from Al-Shehabi was used to estimate various wind turbine outputs at the site. The methodology of analysis is based on the computations of annual capacity factor and economic feasibility. The computations which are done by using the Weibull distribution function and power curve model in addition to feasibility study which included payback period and cost per kilowatt hour (KWh) for each turbine. Thus, the optimum wind turbine selected depends on low cost, low payback period, and high capacity factor, and the results show that a wind turbine with 2m/s cut-in speed, 11m/s rated speed, and 25m/s cut-off speed gives highest energy production.

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