Extreme Load Estimation for Wind Turbines: Issues and Opportunities for Improved Practice

Paul S. Veers; Sandy Butterfield

doi:10.2514/6.2001-44

Extreme Load Estimation for Wind Turbines: Issues and Opportunities for Improved Practice

Paul S. Veers, Sandy Butterfield

Research output: Contribution to conference › Paper › peer-review

21 Scopus Citations

Abstract

Current design load estimation procedures for wind turbines often do not accurately treat the statistical nature of loads. Current practice for wind turbine load analysis is reviewed. The author's opinions on the shortcomings of these practices are discussed. Experience gained from current research on statistical load extrapolation methods is reviewed. Statistical modeling techniques are presented. Open questions on current techniques are summarized and critical issues that need to be resolved for an accurate statistical load extrapolation method are discussed.

Original language	American English
Pages	245-254
Number of pages	10
DOIs	https://doi.org/10.2514/6.2001-44
State	Published - 2001
Externally published	Yes
Event	2001 ASME Wind Energy Symposium Technical 39th AIAA Aerospace Sciences Meeting and Exhibit - Reno, Nevada Duration: 11 Jan 2001 → 14 Jan 2001

Conference

Conference	2001 ASME Wind Energy Symposium Technical 39th AIAA Aerospace Sciences Meeting and Exhibit
City	Reno, Nevada
Period	11/01/01 → 14/01/01

NREL Publication Number

NREL/CP-500-32339

UN SDGs

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

Access to Document

10.2514/6.2001-44

Cite this

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title = "Extreme Load Estimation for Wind Turbines: Issues and Opportunities for Improved Practice",

abstract = "Current design load estimation procedures for wind turbines often do not accurately treat the statistical nature of loads. Current practice for wind turbine load analysis is reviewed. The author's opinions on the shortcomings of these practices are discussed. Experience gained from current research on statistical load extrapolation methods is reviewed. Statistical modeling techniques are presented. Open questions on current techniques are summarized and critical issues that need to be resolved for an accurate statistical load extrapolation method are discussed.",

author = "Veers, {Paul S.} and Sandy Butterfield",

year = "2001",

doi = "10.2514/6.2001-44",

language = "American English",

pages = "245--254",

note = "2001 ASME Wind Energy Symposium Technical 39th AIAA Aerospace Sciences Meeting and Exhibit ; Conference date: 11-01-2001 Through 14-01-2001",

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AU - Veers, Paul S.

AU - Butterfield, Sandy

PY - 2001

Y1 - 2001

N2 - Current design load estimation procedures for wind turbines often do not accurately treat the statistical nature of loads. Current practice for wind turbine load analysis is reviewed. The author's opinions on the shortcomings of these practices are discussed. Experience gained from current research on statistical load extrapolation methods is reviewed. Statistical modeling techniques are presented. Open questions on current techniques are summarized and critical issues that need to be resolved for an accurate statistical load extrapolation method are discussed.

AB - Current design load estimation procedures for wind turbines often do not accurately treat the statistical nature of loads. Current practice for wind turbine load analysis is reviewed. The author's opinions on the shortcomings of these practices are discussed. Experience gained from current research on statistical load extrapolation methods is reviewed. Statistical modeling techniques are presented. Open questions on current techniques are summarized and critical issues that need to be resolved for an accurate statistical load extrapolation method are discussed.

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U2 - 10.2514/6.2001-44

DO - 10.2514/6.2001-44

M3 - Paper

AN - SCOPUS:85087603497

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T2 - 2001 ASME Wind Energy Symposium Technical 39th AIAA Aerospace Sciences Meeting and Exhibit

Y2 - 11 January 2001 through 14 January 2001

ER -

Extreme Load Estimation for Wind Turbines: Issues and Opportunities for Improved Practice

Abstract

Conference

NREL Publication Number

UN SDGs

Access to Document

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