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Title: A systems engineering analysis of three-point and four-point wind turbine drivetrain configurations

Journal Article · · Wind Energy
DOI:https://doi.org/10.1002/we.2022· OSTI ID:1341391
 [1];  [2];  [1];  [3]
  1. National Renewable Energy Lab. (NREL), Golden, CO (United States)
  2. National Renewable Energy Lab. (NREL), Golden, CO (United States); Colorado School of Mines, Golden, CO (United States)
  3. National Renewable Energy Lab. (NREL), Golden, CO (United States); Univ. of Colorado, Boulder, CO (United States)

This study compares the impact of drivetrain configuration on the mass and capital cost of a series of wind turbines ranging from 1.5 MW to 5.0 MW power ratings for both land-based and offshore applications. The analysis is performed with a new physics-based drivetrain analysis and sizing tool, Drive Systems Engineering (DriveSE), which is part of the Wind-Plant Integrated System Design & Engineering Model. DriveSE uses physics-based relationships to size all major drivetrain components according to given rotor loads simulated based on International Electrotechnical Commission design load cases. The model's sensitivity to input loads that contain a high degree of variability was analyzed. Aeroelastic simulations are used to calculate the rotor forces and moments imposed on the drivetrain for each turbine design. DriveSE is then used to size all of the major drivetrain components for each turbine for both three-point and four-point configurations. The simulation results quantify the trade-offs in mass and component costs for the different configurations. On average, a 16.7% decrease in total nacelle mass can be achieved when using a three-point drivetrain configuration, resulting in a 3.5% reduction in turbine capital cost. This analysis is driven by extreme loads and does not consider fatigue. Thus, the effects of configuration choices on reliability and serviceability are not captured. Furthermore, a first order estimate of the sizing, dimensioning and costing of major drivetrain components are made which can be used in larger system studies which consider trade-offs between subsystems such as the rotor, drivetrain and tower.

Research Organization:
National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind and Water Technologies Office (EE-4W)
Grant/Contract Number:
AC36-08GO28308
OSTI ID:
1341391
Report Number(s):
NREL/JA-5000-66339
Journal Information:
Wind Energy, Vol. 20, Issue 3; ISSN 1095-4244
Publisher:
WileyCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 12 works
Citation information provided by
Web of Science

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Cited By (7)

Comparison of planetary bearing load-sharing characteristics in wind turbine gearboxes journal January 2018
A review of wind turbine main bearings: design, operation, modelling, damage mechanisms and fault detection journal January 2020
Wind turbine main‐bearing loading and wind field characteristics journal July 2019
A hybrid MWOAL approach for fast and efficient maximum power point tracking in wind energy conversion systems journal May 2019
Powering the 21st century by wind energy—Options, facts, figures journal September 2019
Comparison of Planetary Bearing Load-Sharing Characteristics in Wind Turbine Gearboxes posted_content June 2018
A review of wind turbine main-bearings: design, operation, modelling, damage mechanisms and fault detection posted_content May 2019