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Title: Loads assessment of a fixed-bottom offshore wind farm with wake steering

Abstract

Wake steering via deliberate yaw offset is an emerging wind farm control technique that has the potential to mitigate wake losses and further increase wind farm energy yield. The loads impact of this technique has been studied, but there is limited insight into wind-farm-wide impacts of wake steering. Understanding such impacts is crucial to determining the feasibility of using wake steering in commercial wind farms. To that end, this work investigates the impacts of wake steering on the loads of all turbine components across all turbines in a wind farm operating under a broad set of inflow conditions, including inflow velocity, shear exponent, turbulence class, and inflow angle. This was done by performing FAST.Farm simulations of a 12-turbine wind farm array, excerpted from a larger hypothetical wind farm. The International Energy Agency Wind 15-MW reference wind turbine was modeled atop a monopile substructure, an open-source model that closely approximates the properties of similar commercial options. Wake steering was included via yaw offsets that were computed using an offline optimization with the National Renewable Energy Laboratory tool FLORIS. For each inflow case, the 12-turbine array was simulated with and without wake steering. Results were compared in terms of time-averaged means, standardmore » deviations, ultimate loads, and damage-equivalent loads. The findings show that because wake steering is generally applied at rated wind speeds and below, it is unlikely to drive ultimate loads. For fatigue loads, wake steering does increase the overall fatigue accumulation for some load channels, such as blade-root and shaft bending. This is to be expected when overall power yield increases but may cause the damage accumulation to be more uniform throughout the array. The significance of the added fatigue loading is dependent on how frequent wake steering is utilized in the overall set of inflow conditions across the wind rose.« less

Authors:
ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1];  [2];  [2]
  1. National Renewable Energy Lab. (NREL), Golden, CO (United States)
  2. Shell Global Solutions International B.V., The Hague (Netherlands)
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE); Shell Global Solutions International B.V.
OSTI Identifier:
1881297
Report Number(s):
NREL/JA-5000-81621
Journal ID: ISSN 1095-4244; MainId:82394;UUID:bc8ce9c7-c4a2-4289-b0df-aeec0b575baf;MainAdminID:64299
Grant/Contract Number:  
AC36-08GO28308
Resource Type:
Accepted Manuscript
Journal Name:
Wind Energy
Additional Journal Information:
Journal Volume: 25; Journal Issue: 9; Journal ID: ISSN 1095-4244
Publisher:
Wiley
Country of Publication:
United States
Language:
English
Subject:
17 WIND ENERGY; FAST.Farm; turbine structural loads; turbine wakes; wake steering; wind farm

Citation Formats

Shaler, Kelsey, Jonkman, Jason, Barter, Garrett E., Kreeft, Jasper J., and Muller, Jelle P. Loads assessment of a fixed-bottom offshore wind farm with wake steering. United States: N. p., 2022. Web. doi:10.1002/we.2756.
Shaler, Kelsey, Jonkman, Jason, Barter, Garrett E., Kreeft, Jasper J., & Muller, Jelle P. Loads assessment of a fixed-bottom offshore wind farm with wake steering. United States. https://doi.org/10.1002/we.2756
Shaler, Kelsey, Jonkman, Jason, Barter, Garrett E., Kreeft, Jasper J., and Muller, Jelle P. Wed . "Loads assessment of a fixed-bottom offshore wind farm with wake steering". United States. https://doi.org/10.1002/we.2756. https://www.osti.gov/servlets/purl/1881297.
@article{osti_1881297,
title = {Loads assessment of a fixed-bottom offshore wind farm with wake steering},
author = {Shaler, Kelsey and Jonkman, Jason and Barter, Garrett E. and Kreeft, Jasper J. and Muller, Jelle P.},
abstractNote = {Wake steering via deliberate yaw offset is an emerging wind farm control technique that has the potential to mitigate wake losses and further increase wind farm energy yield. The loads impact of this technique has been studied, but there is limited insight into wind-farm-wide impacts of wake steering. Understanding such impacts is crucial to determining the feasibility of using wake steering in commercial wind farms. To that end, this work investigates the impacts of wake steering on the loads of all turbine components across all turbines in a wind farm operating under a broad set of inflow conditions, including inflow velocity, shear exponent, turbulence class, and inflow angle. This was done by performing FAST.Farm simulations of a 12-turbine wind farm array, excerpted from a larger hypothetical wind farm. The International Energy Agency Wind 15-MW reference wind turbine was modeled atop a monopile substructure, an open-source model that closely approximates the properties of similar commercial options. Wake steering was included via yaw offsets that were computed using an offline optimization with the National Renewable Energy Laboratory tool FLORIS. For each inflow case, the 12-turbine array was simulated with and without wake steering. Results were compared in terms of time-averaged means, standard deviations, ultimate loads, and damage-equivalent loads. The findings show that because wake steering is generally applied at rated wind speeds and below, it is unlikely to drive ultimate loads. For fatigue loads, wake steering does increase the overall fatigue accumulation for some load channels, such as blade-root and shaft bending. This is to be expected when overall power yield increases but may cause the damage accumulation to be more uniform throughout the array. The significance of the added fatigue loading is dependent on how frequent wake steering is utilized in the overall set of inflow conditions across the wind rose.},
doi = {10.1002/we.2756},
journal = {Wind Energy},
number = 9,
volume = 25,
place = {United States},
year = {Wed Jul 20 00:00:00 EDT 2022},
month = {Wed Jul 20 00:00:00 EDT 2022}
}

Works referenced in this record:

Application of a LES technique to characterize the wake deflection of a wind turbine in yaw
journal, December 2009

  • Jiménez, Ángel; Crespo, Antonio; Migoya, Emilio
  • Wind Energy, Vol. 13, Issue 6
  • DOI: 10.1002/we.380

Evaluating techniques for redirecting turbine wakes using SOWFA
journal, October 2014


Wind farm power maximization based on a cooperative static game approach
conference, April 2013

  • Park, Jinkyoo; Kwon, Soonduck; Law, Kincho H.
  • SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, SPIE Proceedings
  • DOI: 10.1117/12.2009618

Experimental investigation of wake effects on wind turbine performance
journal, August 2011


Measurements on a wind turbine wake: 3D effects and bluff body vortex shedding
journal, May 2006

  • Medici, D.; Alfredsson, P. H.
  • Wind Energy, Vol. 9, Issue 3
  • DOI: 10.1002/we.156

Field test of wake steering at an offshore wind farm
journal, January 2017

  • Fleming, Paul; Annoni, Jennifer; Shah, Jigar J.
  • Wind Energy Science, Vol. 2, Issue 1
  • DOI: 10.5194/wes-2-229-2017

Initial results from a field campaign of wake steering applied at a commercial wind farm – Part 1
journal, January 2019

  • Fleming, Paul; King, Jennifer; Dykes, Katherine
  • Wind Energy Science, Vol. 4, Issue 2
  • DOI: 10.5194/wes-4-273-2019

Continued results from a field campaign of wake steering applied at a commercial wind farm – Part 2
journal, January 2020

  • Fleming, Paul; King, Jennifer; Simley, Eric
  • Wind Energy Science, Vol. 5, Issue 3
  • DOI: 10.5194/wes-5-945-2020

Review of wake management techniques for wind turbines
journal, August 2021


Fatigue loads for wind turbines operating in wakes
journal, March 1999

  • Thomsen, Kenneth; Sørensen, Poul
  • Journal of Wind Engineering and Industrial Aerodynamics, Vol. 80, Issue 1-2
  • DOI: 10.1016/S0167-6105(98)00194-9

Study on wake-induced fatigue on wind turbine blade based on elastic actuator line model and two-dimensional finite element model
journal, December 2018


Assessment of wind turbine component loads under yaw-offset conditions
journal, January 2018

  • Damiani, Rick; Dana, Scott; Annoni, Jennifer
  • Wind Energy Science, Vol. 3, Issue 1
  • DOI: 10.5194/wes-3-173-2018

The fatigue loading effects of yaw control for wind plants
conference, July 2016


Wind turbine blade load characterization under yaw offset at the SWiFT facility
journal, June 2018


Validation of FAST.Farm Against Full-Scale Turbine SCADA Data for a Small Wind Farm
journal, September 2020


Effect of the turbine scale on yaw control
journal, August 2018

  • Ciri, Umberto; Rotea, Mario A.; Leonardi, Stefano
  • Wind Energy, Vol. 21, Issue 12
  • DOI: 10.1002/we.2262

Wind tunnel study on power output and yaw moments for two yaw-controlled model wind turbines
journal, January 2018


Optimal yaw strategy for optimized power and load in various wake situations
journal, October 2018


Wind Farm Loads under Wake Redirection Control
journal, August 2020

  • Kanev, Stoyan; Bot, Edwin; Giles, Jack
  • Energies, Vol. 13, Issue 16
  • DOI: 10.3390/en13164088

Wake meandering: a pragmatic approach
journal, July 2008

  • Larsen, Gunner C.; Madsen, Helge Aa.; Thomsen, Kenneth
  • Wind Energy, Vol. 11, Issue 4, p. 377-395
  • DOI: 10.1002/we.267

FAST.Farm load validation for single wake situations at alpha ventus
journal, January 2021

  • Kretschmer, Matthias; Jonkman, Jason; Pettas, Vasilis
  • Wind Energy Science, Vol. 6, Issue 5
  • DOI: 10.5194/wes-6-1247-2021

Validation of FAST.Farm Against Large-Eddy Simulations
journal, June 2018


Effects of Inflow Spatiotemporal Discretization on Wake Meandering and Turbine Structural Response using FAST.Farm
journal, July 2019