Predicting the Extreme Loads on a Wind Turbine Considering Uncertainty in Airfoil Data

Imad Abdallah; Anand Natarajan; John Dalsgaard Sørensen

doi:10.1201/b16387-30

Predicting the Extreme Loads on a Wind Turbine Considering Uncertainty in Airfoil Data

Imad Abdallah, Anand Natarajan, John Dalsgaard Sørensen

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

1 Citation (Scopus)

Abstract

The sources contributing to uncertainty in a wind turbine blade static airfoil data include wind tunnel testing, CFD calculations, 3D rotational corrections based on CFD or emprircal models, surface roughness corrections, Reynolds number corrections, expansion to the full 360-degree angle of attack range, validation by full scale measurements, and geometric distortions of the blade during manufacturing and under loading. In this paper a stochastic model of the static airfoil data is proposed to supplement the prediction of extreme loads effects for large wind turbines. It is shown that the uncertainty in airfoil data can have e significant impact on the prediction of extreme loads effects depending on the component, and the correlation along the span of the blade.

Original language	English
Title of host publication	Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures : Proceedings of the 11th international conference on structural safety and reliability
Editors	George Deodatis, Bruce R. Ellingwood, Dan M. Frangopol
Number of pages	8
Publisher	CRC Press
Publication date	2014
Pages	215–222
Chapter	24
ISBN (Print)	978-1-138-00086-5
ISBN (Electronic)	978-1-315-88488-2
DOIs	https://doi.org/10.1201/b16387-30
Publication status	Published - 2014
Event	Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures: International Conference on Structural Safety and Reliability - New York, United States Duration: 16 Jun 2013 → 20 Jun 2013 Conference number: 11

Conference

Conference	Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures
Number	11
Country/Territory	United States
City	New York
Period	16/06/2013 → 20/06/2013

Keywords

Extreme Loads
Wind Turbine
Airfoil Data

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10.1201/b16387-30

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Abdallah, I., Natarajan, A., & Sørensen, J. D. (2014). Predicting the Extreme Loads on a Wind Turbine Considering Uncertainty in Airfoil Data. In G. Deodatis, B. R. Ellingwood, & D. M. Frangopol (Eds.), Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures: Proceedings of the 11th international conference on structural safety and reliability (pp. 215–222). CRC Press. https://doi.org/10.1201/b16387-30

Abdallah, Imad ; Natarajan, Anand ; Sørensen, John Dalsgaard. / Predicting the Extreme Loads on a Wind Turbine Considering Uncertainty in Airfoil Data. Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures: Proceedings of the 11th international conference on structural safety and reliability. editor / George Deodatis ; Bruce R. Ellingwood ; Dan M. Frangopol. CRC Press, 2014. pp. 215–222

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title = "Predicting the Extreme Loads on a Wind Turbine Considering Uncertainty in Airfoil Data",

abstract = "The sources contributing to uncertainty in a wind turbine blade static airfoil data include wind tunnel testing, CFD calculations, 3D rotational corrections based on CFD or emprircal models, surface roughness corrections, Reynolds number corrections, expansion to the full 360-degree angle of attack range, validation by full scale measurements, and geometric distortions of the blade during manufacturing and under loading. In this paper a stochastic model of the static airfoil data is proposed to supplement the prediction of extreme loads effects for large wind turbines. It is shown that the uncertainty in airfoil data can have e significant impact on the prediction of extreme loads effects depending on the component, and the correlation along the span of the blade.",

keywords = "Extreme Loads, Wind Turbine, Airfoil Data, Extreme Loads, Wind Turbine, Airfoil Data",

author = "Imad Abdallah and Anand Natarajan and S{\o}rensen, {John Dalsgaard}",

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booktitle = "Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures",

publisher = "CRC Press",

note = "Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures : International Conference on Structural Safety and Reliability, ICOSSAR2013 ; Conference date: 16-06-2013 Through 20-06-2013",

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Abdallah, I, Natarajan, A & Sørensen, JD 2014, Predicting the Extreme Loads on a Wind Turbine Considering Uncertainty in Airfoil Data. in G Deodatis, BR Ellingwood & DM Frangopol (eds), Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures: Proceedings of the 11th international conference on structural safety and reliability. CRC Press, pp. 215–222, Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures, New York, United States, 16/06/2013. https://doi.org/10.1201/b16387-30

Predicting the Extreme Loads on a Wind Turbine Considering Uncertainty in Airfoil Data. / Abdallah, Imad; Natarajan, Anand; Sørensen, John Dalsgaard.
Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures: Proceedings of the 11th international conference on structural safety and reliability. ed. / George Deodatis; Bruce R. Ellingwood; Dan M. Frangopol. CRC Press, 2014. p. 215–222.

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

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T1 - Predicting the Extreme Loads on a Wind Turbine Considering Uncertainty in Airfoil Data

AU - Abdallah, Imad

AU - Natarajan, Anand

AU - Sørensen, John Dalsgaard

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PY - 2014

Y1 - 2014

N2 - The sources contributing to uncertainty in a wind turbine blade static airfoil data include wind tunnel testing, CFD calculations, 3D rotational corrections based on CFD or emprircal models, surface roughness corrections, Reynolds number corrections, expansion to the full 360-degree angle of attack range, validation by full scale measurements, and geometric distortions of the blade during manufacturing and under loading. In this paper a stochastic model of the static airfoil data is proposed to supplement the prediction of extreme loads effects for large wind turbines. It is shown that the uncertainty in airfoil data can have e significant impact on the prediction of extreme loads effects depending on the component, and the correlation along the span of the blade.

AB - The sources contributing to uncertainty in a wind turbine blade static airfoil data include wind tunnel testing, CFD calculations, 3D rotational corrections based on CFD or emprircal models, surface roughness corrections, Reynolds number corrections, expansion to the full 360-degree angle of attack range, validation by full scale measurements, and geometric distortions of the blade during manufacturing and under loading. In this paper a stochastic model of the static airfoil data is proposed to supplement the prediction of extreme loads effects for large wind turbines. It is shown that the uncertainty in airfoil data can have e significant impact on the prediction of extreme loads effects depending on the component, and the correlation along the span of the blade.

KW - Extreme Loads

KW - Wind Turbine

KW - Airfoil Data

KW - Extreme Loads

KW - Wind Turbine

KW - Airfoil Data

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DO - 10.1201/b16387-30

M3 - Article in proceeding

SN - 978-1-138-00086-5

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BT - Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures

A2 - Deodatis, George

A2 - Ellingwood, Bruce R.

A2 - Frangopol, Dan M.

PB - CRC Press

T2 - Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures

Y2 - 16 June 2013 through 20 June 2013

ER -

Abdallah I, Natarajan A, Sørensen JD. Predicting the Extreme Loads on a Wind Turbine Considering Uncertainty in Airfoil Data. In Deodatis G, Ellingwood BR, Frangopol DM, editors, Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures: Proceedings of the 11th international conference on structural safety and reliability. CRC Press. 2014. p. 215–222 doi: 10.1201/b16387-30

Predicting the Extreme Loads on a Wind Turbine Considering Uncertainty in Airfoil Data

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