Wind turbine response in waked inflow: A modelling benchmark against full-scale measurements
Abstract
Predicting the power and loads of wind turbines in waked inflow conditions still presents a major modelling challenge. It requires the accurate modelling of the atmospheric flow conditions, wakes of upstream turbines and the response of the turbine of interest. Rigorous validations of model frameworks against measurements of utility-scale wind turbines in such scenarios remain limited to date. In this study, six models of different fidelity are compared against measurements from the DanAero experiment. The two benchmark cases feature a full-wake and partial-wake scenario, respectively. The simulations are compared against local pressure forces and inflow velocities measured on several blade sections of the downstream turbine, as well as met mast measurements and standard SCADA data. Regardless of the model fidelity, reasonable agreements are found in terms of the wake characteristics and turbine response. For instance, the azimuth variation of the mean aerodynamic forces acting on the blade was captured with a mean relative error of 15-20%. Additionally, while various model-specific deficiencies could be identified, the study highlights the need for further full-scale measurement campaigns with even more extensive instrumentation. Furthermore, it is concluded that validations should not be limited to integrated and/or time-averaged quantities that conceal characteristic spatial or temporalmore »
- Authors:
-
[1];
[2];
[3];
[2];
[3];
- Uppsala Univ., Visby (Sweden). Wind Energy Section
- Technical Univ. of Denmark, Roskilde (Denmark). DTU Wind Energy
- National Renewable Energy Lab. (NREL), Golden, CO (United States)
- Publication Date:
- Research Org.:
- National Renewable Energy Lab. (NREL), Golden, CO (United States)
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Wind Energy Technologies Office
- OSTI Identifier:
- 1869687
- Report Number(s):
- NREL/JA-5000-81924
Journal ID: ISSN 0960-1481; MainId:82697;UUID:429a3794-9143-4202-be5a-6d44f485aced;MainAdminID:63981
- Grant/Contract Number:
- AC36-08GO28308
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Renewable Energy
- Additional Journal Information:
- Journal Volume: 191; Journal ID: ISSN 0960-1481
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 17 WIND ENERGY; DanAero experiment; validation; wake modeling; wind turbine loads
Citation Formats
Asmuth, Henrik, Navarro Diaz, Gonzalo P., Madsen, Helge Aagaard, Branlard, Emmanuel, Meyer Forsting, Alexander R., Nilsson, Karl, Jonkman, Jason, and Ivanell, Stefan. Wind turbine response in waked inflow: A modelling benchmark against full-scale measurements. United States: N. p., 2022.
Web. doi:10.1016/j.renene.2022.04.047.
Asmuth, Henrik, Navarro Diaz, Gonzalo P., Madsen, Helge Aagaard, Branlard, Emmanuel, Meyer Forsting, Alexander R., Nilsson, Karl, Jonkman, Jason, & Ivanell, Stefan. Wind turbine response in waked inflow: A modelling benchmark against full-scale measurements. United States. https://doi.org/10.1016/j.renene.2022.04.047
Asmuth, Henrik, Navarro Diaz, Gonzalo P., Madsen, Helge Aagaard, Branlard, Emmanuel, Meyer Forsting, Alexander R., Nilsson, Karl, Jonkman, Jason, and Ivanell, Stefan. Tue .
"Wind turbine response in waked inflow: A modelling benchmark against full-scale measurements". United States. https://doi.org/10.1016/j.renene.2022.04.047. https://www.osti.gov/servlets/purl/1869687.
@article{osti_1869687,
title = {Wind turbine response in waked inflow: A modelling benchmark against full-scale measurements},
author = {Asmuth, Henrik and Navarro Diaz, Gonzalo P. and Madsen, Helge Aagaard and Branlard, Emmanuel and Meyer Forsting, Alexander R. and Nilsson, Karl and Jonkman, Jason and Ivanell, Stefan},
abstractNote = {Predicting the power and loads of wind turbines in waked inflow conditions still presents a major modelling challenge. It requires the accurate modelling of the atmospheric flow conditions, wakes of upstream turbines and the response of the turbine of interest. Rigorous validations of model frameworks against measurements of utility-scale wind turbines in such scenarios remain limited to date. In this study, six models of different fidelity are compared against measurements from the DanAero experiment. The two benchmark cases feature a full-wake and partial-wake scenario, respectively. The simulations are compared against local pressure forces and inflow velocities measured on several blade sections of the downstream turbine, as well as met mast measurements and standard SCADA data. Regardless of the model fidelity, reasonable agreements are found in terms of the wake characteristics and turbine response. For instance, the azimuth variation of the mean aerodynamic forces acting on the blade was captured with a mean relative error of 15-20%. Additionally, while various model-specific deficiencies could be identified, the study highlights the need for further full-scale measurement campaigns with even more extensive instrumentation. Furthermore, it is concluded that validations should not be limited to integrated and/or time-averaged quantities that conceal characteristic spatial or temporal variations.},
doi = {10.1016/j.renene.2022.04.047},
journal = {Renewable Energy},
number = ,
volume = 191,
place = {United States},
year = {Tue Apr 12 00:00:00 EDT 2022},
month = {Tue Apr 12 00:00:00 EDT 2022}
}
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