Selection of wind generator capacity for capturing maximum wind energy in wind power generation systems

Tai Her Yeh, Li Wang

Research output: Contribution to journalConference article

1 Citation (Scopus)

Abstract

This paper presents an approach for selecting capacity of wind turbine generators under different values of wind tower hub height using capacity factor, normalized average power, and the product of both quantities of a wind power generation system. In order to capture the maximum wind energy from wind, most current wind turbines have different hub heights and various values of rated capacity. This paper employs Weibull distribution to describe the probability distribution of wind speed while the important relationships among the expected value and standard deviation of wind speed as well as the scale parameter and the shape parameter of Weibull distribution function are also derived. Finally, a practical windfarm example in Taiwan is employed to examine the proposed method.

Original languageEnglish
Article number492-061
Pages (from-to)137-142
Number of pages6
JournalSeries on Energy and Power Systems
Publication statusPublished - 2005 Dec 1
Event5th IASTED International Conference on Power and Energy Systems, PES 2005 - Marina del Rey, CA, United States
Duration: 2005 Oct 242005 Oct 26

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Wind power
Power generation
Weibull distribution
Wind turbines
Turbogenerators
Probability distributions
Towers
Distribution functions

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

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abstract = "This paper presents an approach for selecting capacity of wind turbine generators under different values of wind tower hub height using capacity factor, normalized average power, and the product of both quantities of a wind power generation system. In order to capture the maximum wind energy from wind, most current wind turbines have different hub heights and various values of rated capacity. This paper employs Weibull distribution to describe the probability distribution of wind speed while the important relationships among the expected value and standard deviation of wind speed as well as the scale parameter and the shape parameter of Weibull distribution function are also derived. Finally, a practical windfarm example in Taiwan is employed to examine the proposed method.",
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Selection of wind generator capacity for capturing maximum wind energy in wind power generation systems. / Yeh, Tai Her; Wang, Li.

In: Series on Energy and Power Systems, 01.12.2005, p. 137-142.

Research output: Contribution to journalConference article

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T1 - Selection of wind generator capacity for capturing maximum wind energy in wind power generation systems

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AU - Wang, Li

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N2 - This paper presents an approach for selecting capacity of wind turbine generators under different values of wind tower hub height using capacity factor, normalized average power, and the product of both quantities of a wind power generation system. In order to capture the maximum wind energy from wind, most current wind turbines have different hub heights and various values of rated capacity. This paper employs Weibull distribution to describe the probability distribution of wind speed while the important relationships among the expected value and standard deviation of wind speed as well as the scale parameter and the shape parameter of Weibull distribution function are also derived. Finally, a practical windfarm example in Taiwan is employed to examine the proposed method.

AB - This paper presents an approach for selecting capacity of wind turbine generators under different values of wind tower hub height using capacity factor, normalized average power, and the product of both quantities of a wind power generation system. In order to capture the maximum wind energy from wind, most current wind turbines have different hub heights and various values of rated capacity. This paper employs Weibull distribution to describe the probability distribution of wind speed while the important relationships among the expected value and standard deviation of wind speed as well as the scale parameter and the shape parameter of Weibull distribution function are also derived. Finally, a practical windfarm example in Taiwan is employed to examine the proposed method.

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