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Title: Improving Wind Turbine Drivetrain Reliability Using a Combined Experimental, Computational, and Analytical Approach

Abstract

Nontorque loads induced by the wind turbine rotor overhang weight and aerodynamic forces can greatly affect drivetrain loads and responses. If not addressed properly, these loads can result in a decrease in gearbox component life. This work uses analytical modeling, computational modeling, and experimental data to evaluate a unique drivetrain design that minimizes the effects of nontorque loads on gearbox reliability: the Pure Torque(R) drivetrain developed by Alstom. The drivetrain has a hub-support configuration that transmits nontorque loads directly into the tower rather than through the gearbox as in other design approaches. An analytical model of Alstom's Pure Torque drivetrain provides insight into the relationships among turbine component weights, aerodynamic forces, and the resulting drivetrain loads. Main shaft bending loads are orders of magnitude lower than the rated torque and are hardly affected by wind conditions and turbine operations.

Authors:
; ; ; ;
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
CRADA
OSTI Identifier:
1176729
DOE Contract Number:
AC36-08GO28308
Resource Type:
Conference
Resource Relation:
Conference: Presented at the ASME 2014 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC/CIE 2014), 17-20 August 2014, Buffalo, New York
Country of Publication:
United States
Language:
English
Subject:
17 WIND ENERGY; 97 MATHEMATICS AND COMPUTING; RELIABILITY; WIND TURBINES; Wind Energy

Citation Formats

Guo, Y., van Dam, J., Bergua, R., Jove, J., and Campbell, J. Improving Wind Turbine Drivetrain Reliability Using a Combined Experimental, Computational, and Analytical Approach. United States: N. p., 2015. Web. doi:10.1115/DETC2014-35169.
Guo, Y., van Dam, J., Bergua, R., Jove, J., & Campbell, J. Improving Wind Turbine Drivetrain Reliability Using a Combined Experimental, Computational, and Analytical Approach. United States. doi:10.1115/DETC2014-35169.
Guo, Y., van Dam, J., Bergua, R., Jove, J., and Campbell, J. Sun . "Improving Wind Turbine Drivetrain Reliability Using a Combined Experimental, Computational, and Analytical Approach". United States. doi:10.1115/DETC2014-35169. https://www.osti.gov/servlets/purl/1176729.
@article{osti_1176729,
title = {Improving Wind Turbine Drivetrain Reliability Using a Combined Experimental, Computational, and Analytical Approach},
author = {Guo, Y. and van Dam, J. and Bergua, R. and Jove, J. and Campbell, J.},
abstractNote = {Nontorque loads induced by the wind turbine rotor overhang weight and aerodynamic forces can greatly affect drivetrain loads and responses. If not addressed properly, these loads can result in a decrease in gearbox component life. This work uses analytical modeling, computational modeling, and experimental data to evaluate a unique drivetrain design that minimizes the effects of nontorque loads on gearbox reliability: the Pure Torque(R) drivetrain developed by Alstom. The drivetrain has a hub-support configuration that transmits nontorque loads directly into the tower rather than through the gearbox as in other design approaches. An analytical model of Alstom's Pure Torque drivetrain provides insight into the relationships among turbine component weights, aerodynamic forces, and the resulting drivetrain loads. Main shaft bending loads are orders of magnitude lower than the rated torque and are hardly affected by wind conditions and turbine operations.},
doi = {10.1115/DETC2014-35169},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Sun Mar 01 00:00:00 EST 2015},
month = {Sun Mar 01 00:00:00 EST 2015}
}

Conference:
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