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Title: Assessment of Wind Turbine Component Loads Under Yaw-Offset Conditions

Abstract

Renewed interest in yaw control for wind turbine and power plants for wake redirection and load mitigation demands a clear understanding of the effects of running with skewed inflow. In this paper, we investigate the physics of yawed operations, building up the complexity from a simplified analytical treatment to more complex aeroelastic simulations. Results in terms of damage equivalent loads (DELs) and extreme loads under operating, misaligned conditions are compared to data collected from an instrumented, utility-scale wind turbine. The analysis shows that multiple factors are responsible for the DELs of the various components, and that airfoil aerodynamics, elastic characteristics of the rotor, and turbulence intensities are the primary drivers. Both fatigue and extreme loads are observed to have relatively complex trends with yaw offsets, which can change depending on the wind-speed regime. As a result, good agreement is found between predicted and measured trends for both fatigue and ultimate loads.

Authors:
 [1]; ORCiD logo [1];  [1]; ORCiD logo [1];  [1];  [1];  [1]
  1. 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), Wind Energy Technologies Office (EE-4WE)
OSTI Identifier:
1399855
Report Number(s):
NREL/JA-5000-68866
Journal ID: ISSN 2366-7621
Grant/Contract Number:
AC36-08GO28308
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Wind Energy Science Discussions
Additional Journal Information:
Journal Volume: 3; Conference: Presented at Wind Energy Science Conference, Lyngby (Denmark), 26-30 Jun 2017; Journal ID: ISSN 2366-7621
Publisher:
European Academy of Wind Energy - Copernicus
Country of Publication:
United States
Language:
English
Subject:
17 WIND ENERGY; 42 ENGINEERING; wake steering; loads analysis; yaw offset; wind turbines; wind power; wind plants; renewable energy; load mitigation

Citation Formats

Damiani, Rick R., Dana, Scott, Annoni, Jennifer, Fleming, Paul A., Roadman, Jason M., van Dam, Jeroen J., and Dykes, Katherine L. Assessment of Wind Turbine Component Loads Under Yaw-Offset Conditions. United States: N. p., 2018. Web. doi:10.5194/wes-2017-38.
Damiani, Rick R., Dana, Scott, Annoni, Jennifer, Fleming, Paul A., Roadman, Jason M., van Dam, Jeroen J., & Dykes, Katherine L. Assessment of Wind Turbine Component Loads Under Yaw-Offset Conditions. United States. doi:10.5194/wes-2017-38.
Damiani, Rick R., Dana, Scott, Annoni, Jennifer, Fleming, Paul A., Roadman, Jason M., van Dam, Jeroen J., and Dykes, Katherine L. Fri . "Assessment of Wind Turbine Component Loads Under Yaw-Offset Conditions". United States. doi:10.5194/wes-2017-38. https://www.osti.gov/servlets/purl/1399855.
@article{osti_1399855,
title = {Assessment of Wind Turbine Component Loads Under Yaw-Offset Conditions},
author = {Damiani, Rick R. and Dana, Scott and Annoni, Jennifer and Fleming, Paul A. and Roadman, Jason M. and van Dam, Jeroen J. and Dykes, Katherine L.},
abstractNote = {Renewed interest in yaw control for wind turbine and power plants for wake redirection and load mitigation demands a clear understanding of the effects of running with skewed inflow. In this paper, we investigate the physics of yawed operations, building up the complexity from a simplified analytical treatment to more complex aeroelastic simulations. Results in terms of damage equivalent loads (DELs) and extreme loads under operating, misaligned conditions are compared to data collected from an instrumented, utility-scale wind turbine. The analysis shows that multiple factors are responsible for the DELs of the various components, and that airfoil aerodynamics, elastic characteristics of the rotor, and turbulence intensities are the primary drivers. Both fatigue and extreme loads are observed to have relatively complex trends with yaw offsets, which can change depending on the wind-speed regime. As a result, good agreement is found between predicted and measured trends for both fatigue and ultimate loads.},
doi = {10.5194/wes-2017-38},
journal = {Wind Energy Science Discussions},
number = ,
volume = 3,
place = {United States},
year = {Fri Apr 13 00:00:00 EDT 2018},
month = {Fri Apr 13 00:00:00 EDT 2018}
}

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