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NREL’s Wind Turbine Drivetrain Condition Monitoring and Wind Plant Operation and Maintenance Research During the 2010s: A US Land-Based Perspective

Journal Article · · Acoustics Australia

The wind industry has seen tremendous growth during the past two decades, with the global cumulative installation capacity reaching more than 650 gigawatts by the end of 2019. Despite performance and reliability improvements of utility-scale wind turbines over the years, the industry still experiences premature component failures, leading to increased operation and maintenance (O&M) costs. Among various turbine components, gearboxes—and, more broadly, drivetrains—have shown to be costly to maintain throughout the design life of a wind turbine. The problem of premature component failure is industry wide. As early as 2007, the US Department of Energy (DOE) started to address this challenge through the National Renewable Energy Laboratory’s (NREL’s) reliability initiative that first focused on gearboxes and more recently expanded to entire drivetrains. The wind turbine drivetrain condition monitoring and wind plant O&M research that is the subject of this paper is part of the NREL initiative and includes a few research and development (R&D) activities conducted during the 2010s. These activities included technology evaluation during the first few years; novel monitoring technique investigation (specifically, compact filter analysis) during the middle years; and data and physics domain modeling for fault detection and prediction in recent years. A high-level summary of these activities is provided in this paper along with some key observations from each activity. Most of the work discussed has been published and can be referred to for more information. They reflect the expected evolution of wind turbine condition monitoring and O&M in the US market—primarily, a land-based perspective. In addition, we have identified several R&D opportunities that can be picked up by the research community to help industry advance in related areas, making wind power more cost competitive in the future.

Research Organization:
National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind Energy Technologies Office (EE-4W)
Grant/Contract Number:
AC36-08GO28308
OSTI ID:
1774831
Report Number(s):
NREL/JA--5000-78628; MainId:32545; UUID:375a11ee-12cd-46b8-980c-603d10e66939; MainAdminID:21100
Journal Information:
Acoustics Australia, Journal Name: Acoustics Australia Journal Issue: 2 Vol. 49; ISSN 0814-6039
Publisher:
Springer NatureCopyright Statement
Country of Publication:
United States
Language:
English

References (10)

Wind turbine condition monitoring: detailed in the Editorial journal March 2014
A methodology for reliability assessment and prognosis of bearing axial cracking in wind turbine gearboxes journal July 2020
Monitoring of Wind Turbine Gearbox Condition through Oil and Wear Debris Analysis: A Full-Scale Testing Perspective journal January 2016
Diagnostic Models for Wind Turbine Gearbox Components Using SCADA Time Series Data conference June 2018
Scalable Wind Turbine Generator Bearing Fault Prediction Using Machine Learning: A Case Study conference June 2020
Condition Monitoring of Wind Power System With Nonparametric Regression Analysis journal June 2014
Use of SCADA Data for Failure Detection in Wind Turbines conference March 2012
Gearbox Reliability Collaborative Project Report: Findings from Phase 1 and Phase 2 Testing report June 2011
Wind Turbine Gearbox Condition Monitoring Round Robin Study - Vibration Analysis report July 2012
Prognosis of Wind Turbine Gearbox Bearing Failures using SCADA and Modeled Data journal November 2020

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