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Optimum Selection of Wind Turbines

Received: 15 January 2014     Accepted: 18 August 2014     Published: 20 August 2014
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Abstract

This paper investigates optimum siting of wind turbine generators from the viewpoint of site and wind turbine generator selection. This analysis methodology is done at the planning and development stages of installation of wind power stations will enable the wind power developer or the power utilities to make a judicious and rapidly choice of potential site and wind turbine generator system from the available potential sites and wind turbine generators respectively. The methodology of analysis is based on the computations of annual capacity factors, which are done using the Weibull distribution function and power curve model. This method is applied to install a wind energy conversion system at four sites in Algeria.

Published in Science Journal of Energy Engineering (Volume 2, Issue 4)
DOI 10.11648/j.sjee.20140204.12
Page(s) 36-46
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2014. Published by Science Publishing Group

Keywords

Probability Density Function, Power Curve Law, Capacity Factors, Wind Turbine Generators, Optimum Siting, Energy Output

References
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  • APA Style

    M. Bencherif, B. N. Brahmi, A. Chikhaoui. (2014). Optimum Selection of Wind Turbines. Science Journal of Energy Engineering, 2(4), 36-46. https://doi.org/10.11648/j.sjee.20140204.12

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    ACS Style

    M. Bencherif; B. N. Brahmi; A. Chikhaoui. Optimum Selection of Wind Turbines. Sci. J. Energy Eng. 2014, 2(4), 36-46. doi: 10.11648/j.sjee.20140204.12

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    AMA Style

    M. Bencherif, B. N. Brahmi, A. Chikhaoui. Optimum Selection of Wind Turbines. Sci J Energy Eng. 2014;2(4):36-46. doi: 10.11648/j.sjee.20140204.12

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  • @article{10.11648/j.sjee.20140204.12,
      author = {M. Bencherif and B. N. Brahmi and A. Chikhaoui},
      title = {Optimum Selection of Wind Turbines},
      journal = {Science Journal of Energy Engineering},
      volume = {2},
      number = {4},
      pages = {36-46},
      doi = {10.11648/j.sjee.20140204.12},
      url = {https://doi.org/10.11648/j.sjee.20140204.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjee.20140204.12},
      abstract = {This paper investigates optimum siting of wind turbine generators from the viewpoint of site and wind turbine generator selection. This analysis methodology is done at the planning and development stages of installation of wind power stations will enable the wind power developer or the power utilities to make a judicious and rapidly choice of potential site and wind turbine generator system from the available potential sites and wind turbine generators respectively. The methodology of analysis is based on the computations of annual capacity factors, which are done using the Weibull distribution function and power curve model. This method is applied to install a wind energy conversion system at four sites in Algeria.},
     year = {2014}
    }
    

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    T1  - Optimum Selection of Wind Turbines
    AU  - M. Bencherif
    AU  - B. N. Brahmi
    AU  - A. Chikhaoui
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    N1  - https://doi.org/10.11648/j.sjee.20140204.12
    DO  - 10.11648/j.sjee.20140204.12
    T2  - Science Journal of Energy Engineering
    JF  - Science Journal of Energy Engineering
    JO  - Science Journal of Energy Engineering
    SP  - 36
    EP  - 46
    PB  - Science Publishing Group
    SN  - 2376-8126
    UR  - https://doi.org/10.11648/j.sjee.20140204.12
    AB  - This paper investigates optimum siting of wind turbine generators from the viewpoint of site and wind turbine generator selection. This analysis methodology is done at the planning and development stages of installation of wind power stations will enable the wind power developer or the power utilities to make a judicious and rapidly choice of potential site and wind turbine generator system from the available potential sites and wind turbine generators respectively. The methodology of analysis is based on the computations of annual capacity factors, which are done using the Weibull distribution function and power curve model. This method is applied to install a wind energy conversion system at four sites in Algeria.
    VL  - 2
    IS  - 4
    ER  - 

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Author Information
  • Department of Physics, University of Tlemcen, B.p. 119, Tlemcen R. p. 13000, Algeria

  • Department of Physics, University of Tlemcen, B.p. 119, Tlemcen R. p. 13000, Algeria

  • Department of Physics, University of Tlemcen, B.p. 119, Tlemcen R. p. 13000, Algeria

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