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Title: Lifetime fatigue response due to wake steering on a pair of utility-scale wind turbines

Journal Article · · Journal of Physics. Conference Series

Quantifying the impacts on turbine loads during wind farm control is an important consideration in assessing power production benefits. Wake steering controls aim to improve total wind farm performance by coordinating the control actions of individual turbines, wherein an upstream turbine is intentionally yawed at an offset angle from the measured wind direction. Consequently, this redirects its wake for improved power production and potentially reduces fatigue loads of the downstream turbines. This paper studies the lifetime fatigue loads associated with wake steering by using utility-scale wind turbine experimental data to conduct an analysis on a pair of wind turbines. This study was part of a large field experiment in which a group of five GE 1.5-MW SLE CWE turbines were selected as targets for conducting wake steering research. A standard loads instrumentation package and data acquisition system were installed on two turbines within the cluster to measure turbine fundamental loads. The time-series databases were used to calculate loads statistics as well as short-term and lifetime damage equivalent loads. Fatigue calculations followed the guidance in Annex H of the International Electrotechnical Commission standard 61400-1, Edition 4. Lifetime fatigue calculation results are presented in this analysis; three methods of assessing lifetime fatigue were used to determine percent difference for blade root moments, main shaft moments, main shaft torque, and tower top torque. For all three fatigue treatments, some components’ lifetime fatigue increases for the controlled turbine; however, the downwind turbine experienced a reduction in lifetime fatigue and combined effect for the turbine pair results in a reduction of fatigue when wake steering controls are applied.

Research Organization:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Wind Energy Technologies Office
Grant/Contract Number:
AC36-08GO28308
OSTI ID:
1975209
Report Number(s):
NREL/JA-5000-81847; MainId:82620; UUID:6210c658-8582-4ca0-a65b-895d16936e8e; MainAdminID:64270
Journal Information:
Journal of Physics. Conference Series, Vol. 2265, Issue 2; Conference: Science of Making Torque from Wind (TORQUE), Delft (Netherlands), 1-3 June 2022; ISSN 1742-6588
Publisher:
IOP PublishingCopyright Statement
Country of Publication:
United States
Language:
English

References (6)

Wind plant power optimization through yaw control using a parametric model for wake effects-a CFD simulation study: Wind plant optimization by yaw control using a parametric wake model journal December 2014
Wind Farm Loads under Wake Redirection Control journal August 2020
Assessment of wind turbine component loads under yaw-offset conditions journal January 2018
Simple rainflow counting algorithms journal January 1982
Continued results from a field campaign of wake steering applied at a commercial wind farm – Part 2 journal January 2020
Initial results from a field campaign of wake steering applied at a commercial wind farm – Part 1 journal January 2019