Capacity Factor

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The Experts below are selected from a list of 318 Experts worldwide ranked by ideXlab platform

Shyh-jier Huang - One of the best experts on this subject based on the ideXlab platform.

Hsing-ho Wan - One of the best experts on this subject based on the ideXlab platform.

Leyla Ozgener - One of the best experts on this subject based on the ideXlab platform.

  • Investigation of wind energy potential of Muradiye in Manisa, Turkey
    Renewable & Sustainable Energy Reviews, 2010
    Co-Authors: Leyla Ozgener
    Abstract:

    The purpose of this survey is about to investigate wind energy potential of Celal Bayar University Muradiye Campus. The experimental system was commissioned in November 2006 and performance monitoring tests have been conducted since then. Author also undertake a case study to investigate how varying wind speeds considered affect the electricity production of the wind turbine system and to estimate a Capacity Factor which is defined as the ratio of the average power output to the rated output power of the generator. The collected data are quantified and illustrated in the tables, 07th of November 2006 till 09st of December 2007 for comparison purposes. According to experimental studies between 2006 and 2007 years, yearly average wind velocity is found to be 3.21Â m/s at 30Â m height and Capacity Factor is estimated to be 14.1% for Enercon E48 (800Â kW) wind turbine. According to these results, the mean wind speed does not provide economical electricity production from the wind energy.

Mohammed Albadi - One of the best experts on this subject based on the ideXlab platform.

J Burnett - One of the best experts on this subject based on the ideXlab platform.

  • investigation on wind power potential on hong kong islands an analysis of wind power and wind turbine characteristics
    Renewable Energy, 2002
    Co-Authors: Hongxing Yang, J Burnett
    Abstract:

    Abstract This paper discusses the potential for electricity generation on Hong Kong islands through an analysis of the local weather data and typical wind turbine characteristics. An optimum wind speed, u op , is proposed to choose an optimal type of wind turbine for different weather conditions. A simulation model has been established to describe the characteristics of a particular wind turbine. A case study investigation allows wind speed and wind power density to be obtained using different hub heights, and the annual power generated by the wind turbine to be simulated. The wind turbine's Capacity Factor, being the ratio of actual annual power generation to the rated annual power generation, is shown to be 0.353, with the Capacity Factor in October as high as 0.50. The simulation shows the potential for wind power generation on the islands surrounding Hong Kong.