Wind turbine performance index

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

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.

Original languageEnglish
Title of host publication2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2012
DOIs
StatePublished - 1 Dec 2012
Externally publishedYes
Event2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2012 - Eilat, Israel
Duration: 14 Nov 201217 Nov 2012

Publication series

Name2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2012

Conference

Conference2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2012
Country/TerritoryIsrael
CityEilat
Period14/11/1217/11/12

Keywords

  • Capacity Factor
  • Data fitting
  • Probability Distribution Function
  • Wind turbine

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