Alternative approach to wind turbine performance index assessment

Y. Ditkovich; A. Kuperman; A. Yahalom; M. Byalsky

doi:https://doi.org/10.1061/(ASCE)EY.1943-7897.0000174

Alternative approach to wind turbine performance index assessment

Y. Ditkovich, A. Kuperman, A. Yahalom, M. Byalsky

Department of Electrical and Electronics Engineering

Ariel University

Research output: Contribution to journal › Article › peer-review

Abstract

This paper presents a method for estimating the fixed and variable speed turbine performance index. The approach is based on Weibull wind probability distribution function and manufacturer-provided power curve. It is further shown that the existing turbine performance index formulation is only valid in case of variable speed turbines. A general approach to calculating the turbine performance index is derived, suitable for both fixed and variable speed wind turbines. Instead of choosing a particular model for approximating the power curve, commonly used polynomial fitting is employed. It is suggested to determine the best site for a given off-the-shelf turbine rather than finding the best theoretical turbine for a given site.

Original language	American English
Article number	06014001
Journal	Journal of Energy Engineering
Volume	140
Issue number	4
DOIs	https://doi.org/10.1061/(ASCE)EY.1943-7897.0000174
State	Published - 1 Dec 2014

Keywords

Capacity factor
Turbine performance index
Weibull distribution
Wind turbine generator

All Science Journal Classification (ASJC) codes

Civil and Structural Engineering
Renewable Energy, Sustainability and the Environment
Nuclear Energy and Engineering
Energy Engineering and Power Technology
Waste Management and Disposal

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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https://doi.org/10.1061/(ASCE)EY.1943-7897.0000174

Cite this

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abstract = "This paper presents a method for estimating the fixed and variable speed turbine performance index. The approach is based on Weibull wind probability distribution function and manufacturer-provided power curve. It is further shown that the existing turbine performance index formulation is only valid in case of variable speed turbines. A general approach to calculating the turbine performance index is derived, suitable for both fixed and variable speed wind turbines. Instead of choosing a particular model for approximating the power curve, commonly used polynomial fitting is employed. It is suggested to determine the best site for a given off-the-shelf turbine rather than finding the best theoretical turbine for a given site.",

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N2 - This paper presents a method for estimating the fixed and variable speed turbine performance index. The approach is based on Weibull wind probability distribution function and manufacturer-provided power curve. It is further shown that the existing turbine performance index formulation is only valid in case of variable speed turbines. A general approach to calculating the turbine performance index is derived, suitable for both fixed and variable speed wind turbines. Instead of choosing a particular model for approximating the power curve, commonly used polynomial fitting is employed. It is suggested to determine the best site for a given off-the-shelf turbine rather than finding the best theoretical turbine for a given site.

AB - This paper presents a method for estimating the fixed and variable speed turbine performance index. The approach is based on Weibull wind probability distribution function and manufacturer-provided power curve. It is further shown that the existing turbine performance index formulation is only valid in case of variable speed turbines. A general approach to calculating the turbine performance index is derived, suitable for both fixed and variable speed wind turbines. Instead of choosing a particular model for approximating the power curve, commonly used polynomial fitting is employed. It is suggested to determine the best site for a given off-the-shelf turbine rather than finding the best theoretical turbine for a given site.

KW - Capacity factor

KW - Turbine performance index

KW - Weibull distribution

KW - Wind turbine generator

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VL - 140

JO - Journal of Energy Engineering

JF - Journal of Energy Engineering

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Alternative approach to wind turbine performance index assessment

Abstract

Keywords

All Science Journal Classification (ASJC) codes

UN SDGs

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