• DocumentCode
    2456744
  • Title

    Wind turbine performance index

  • Author

    Ditkovich, Yuri ; Kuperman, Alon ; Yahalom, Asher ; Byalsky, Michael ; Ditkovich, Yael ; Tapuchi, Saad

  • Author_Institution
    Ariel Univ. Center of Samaria, Ariel, Israel
  • fYear
    2012
  • fDate
    14-17 Nov. 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper, two approaches to calculating Capacity Factor of fixed speed wind turbines are reviewed and then compared using a case study. The quasi-exact approach utilizes discrete wind raw data (in the histogram form) and manufacturer provided turbine power curve (also in discrete form) to numerically calculate the capacity factor. On the other hand, the approximate approach employs a continuous probability distribution function, fitted to the wind data as well as continuous turbine power curve, resulting from double-polynomial fitting of manufacturer-provided power curve data. The latter approach, while being an approximation, can be solved analytically thus providing a valuable insight into the factors, affecting the Capacity Factor. Moreover, several other merits of wind turbine performance are based on the analytically derived equations and hence are an approximation as well. The note shows that the results obtained by employing both approaches are very close, thus the analytically derived approximations are valid and may be used for wind turbine performance evaluation.
  • Keywords
    approximation theory; performance evaluation; performance index; polynomials; probability; wind turbines; approximation approach; capacity factor calculation; continuous probability distribution function; continuous turbine power curve; discrete wind raw data utilization; double-polynomial fitting; fixed speed wind turbine performance index evaluation; manufacturer-provided power curve data; numerical calculation; quasiexact approach; Approximation methods; Fitting; Histograms; Polynomials; Probability density function; Wind speed; Wind turbines; Capacity Factor; Data fitting; Probability Distribution Function; Wind turbine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical & Electronics Engineers in Israel (IEEEI), 2012 IEEE 27th Convention of
  • Conference_Location
    Eilat
  • Print_ISBN
    978-1-4673-4682-5
  • Type

    conf

  • DOI
    10.1109/EEEI.2012.6377028
  • Filename
    6377028