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Assessing wind turbine energy losses due to blade leading edge erosion cavities with parametric CAD and 3D CFD

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Assessing wind turbine energy losses due to blade leading edge erosion cavities with parametric CAD and 3D CFD. / Castorrini, Alessio; Cappugi, Lorenzo; Bonfiglioli, Aldo et al.
In: Journal of Physics: Conference Series, Vol. 1618, 052015, 28.09.2020.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Castorrini A, Cappugi L, Bonfiglioli A, Campobasso S. Assessing wind turbine energy losses due to blade leading edge erosion cavities with parametric CAD and 3D CFD. Journal of Physics: Conference Series. 2020 Sept 28;1618:052015. doi: 10.1088/1742-6596/1618/5/052015

Author

Castorrini, Alessio ; Cappugi, Lorenzo ; Bonfiglioli, Aldo et al. / Assessing wind turbine energy losses due to blade leading edge erosion cavities with parametric CAD and 3D CFD. In: Journal of Physics: Conference Series. 2020 ; Vol. 1618.

Bibtex

@article{285070d6c239431f9856e764253e1433,
title = "Assessing wind turbine energy losses due to blade leading edge erosion cavities with parametric CAD and 3D CFD",
abstract = "Wind turbine leading edge erosion is a complex installation site-dependent process that spoils the aerodynamic performance of wind turbine rotors. This gradual damage process often starts with the formation of pits and gouges leading ultimately to skin delamination. This study demonstrates the application of open source parametric CAD functionalities for the generation of blade geometries with leading edge erosion damage consisting of pits and gouges. This capability is key to the development of high-fidelity computational aerodynamics frameworks for both advancing knowledge on eroded blade aerodynamics, and quantifying energy losses due to erosion. The considered test case is an offshore 5 MW turbine featuring leading edge pit and gouge damage in the outboard part of its blades. The power and loads of the nominal and damaged turbines are determined by means of a blade element momentum theory code using airfoil force data obtained with 3D Navier-Stokes computational fluid dynamics. An annual energy loss between about 1 and 2.5 percent of the nominal annual energy yield is encountered for the considered leading edge damages. The benefits of adaptive power control strategies for mitigating erosion-induced energy losses are also highlighted.",
keywords = "wind turbine blade leading edge erosion, wind turbine and wind farm energy losses, machine learning, computational fluid dynamics, wind turbine blade aerodynamics",
author = "Alessio Castorrini and Lorenzo Cappugi and Aldo Bonfiglioli and Sergio Campobasso",
year = "2020",
month = sep,
day = "28",
doi = "10.1088/1742-6596/1618/5/052015",
language = "English",
volume = "1618",
journal = "Journal of Physics: Conference Series",
issn = "1742-6588",
publisher = "IOP Publishing Ltd.",
note = "TORQUE ; Conference date: 28-09-2020 Through 02-10-2020",
url = "https://www.torque2020.org/",

}

RIS

TY - JOUR

T1 - Assessing wind turbine energy losses due to blade leading edge erosion cavities with parametric CAD and 3D CFD

AU - Castorrini, Alessio

AU - Cappugi, Lorenzo

AU - Bonfiglioli, Aldo

AU - Campobasso, Sergio

PY - 2020/9/28

Y1 - 2020/9/28

N2 - Wind turbine leading edge erosion is a complex installation site-dependent process that spoils the aerodynamic performance of wind turbine rotors. This gradual damage process often starts with the formation of pits and gouges leading ultimately to skin delamination. This study demonstrates the application of open source parametric CAD functionalities for the generation of blade geometries with leading edge erosion damage consisting of pits and gouges. This capability is key to the development of high-fidelity computational aerodynamics frameworks for both advancing knowledge on eroded blade aerodynamics, and quantifying energy losses due to erosion. The considered test case is an offshore 5 MW turbine featuring leading edge pit and gouge damage in the outboard part of its blades. The power and loads of the nominal and damaged turbines are determined by means of a blade element momentum theory code using airfoil force data obtained with 3D Navier-Stokes computational fluid dynamics. An annual energy loss between about 1 and 2.5 percent of the nominal annual energy yield is encountered for the considered leading edge damages. The benefits of adaptive power control strategies for mitigating erosion-induced energy losses are also highlighted.

AB - Wind turbine leading edge erosion is a complex installation site-dependent process that spoils the aerodynamic performance of wind turbine rotors. This gradual damage process often starts with the formation of pits and gouges leading ultimately to skin delamination. This study demonstrates the application of open source parametric CAD functionalities for the generation of blade geometries with leading edge erosion damage consisting of pits and gouges. This capability is key to the development of high-fidelity computational aerodynamics frameworks for both advancing knowledge on eroded blade aerodynamics, and quantifying energy losses due to erosion. The considered test case is an offshore 5 MW turbine featuring leading edge pit and gouge damage in the outboard part of its blades. The power and loads of the nominal and damaged turbines are determined by means of a blade element momentum theory code using airfoil force data obtained with 3D Navier-Stokes computational fluid dynamics. An annual energy loss between about 1 and 2.5 percent of the nominal annual energy yield is encountered for the considered leading edge damages. The benefits of adaptive power control strategies for mitigating erosion-induced energy losses are also highlighted.

KW - wind turbine blade leading edge erosion

KW - wind turbine and wind farm energy losses

KW - machine learning

KW - computational fluid dynamics

KW - wind turbine blade aerodynamics

U2 - 10.1088/1742-6596/1618/5/052015

DO - 10.1088/1742-6596/1618/5/052015

M3 - Journal article

VL - 1618

JO - Journal of Physics: Conference Series

JF - Journal of Physics: Conference Series

SN - 1742-6588

M1 - 052015

T2 - TORQUE

Y2 - 28 September 2020 through 2 October 2020

ER -