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Title: Field Validation of Wake Steering Control with Wind Direction Variability

Abstract

Wake steering is a wind farm control strategy wherein upstream turbines are misaligned with the wind direction to redirect their wakes away from downstream turbines, increasing overall wind plant power. Wake steering is often analyzed assuming steady mean wind directions across the wind farm. However, in practice, the wind direction varies considerably over time because of large-scale weather phenomena. Wind direction variability causes the increase in power production from wake-steering to be less than predicted by steady-state models, but more robust wake-steering strategies can be designed that account for variable wind conditions. This paper compares the achieved yaw offsets and power gains from two different 2-turbine wake-steering experiments at a commercial wind farm with model predictions using the FLOw Redirection and Induction in Steady State (FLORIS) control-oriented model, assuming both fixed and variable wind directions. The impact of wind direction variability is modeled by including wind direction and yaw uncertainty in the FLORIS calculations. The field results match the trends predicted, assuming wind direction variability. Specifically, the yaw offsets achieved in the intended control regions are lower than desired, resulting in less power gain, while a slight loss in power occurs for wind directions outside of the intended control regionmore » because of unintentional yaw misalignment. The agreement between the model and field results suggests that the wind direction variability model can be used to design wake-steering controllers that are more robust to variable wind conditions present in the field.« less

Authors:
ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1]
  1. National Renewable Energy Lab. (NREL), Golden, CO (United States). National Wind Technology Center
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Wind Energy Technologies Office
OSTI Identifier:
1659967
Report Number(s):
NREL/JA-5000-77193
Journal ID: ISSN 1742-6588; MainId:26139;UUID:e4009a7e-e420-4952-a073-8e083f2ceac5;MainAdminID:13703
Grant/Contract Number:  
AC36-08GO28308
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Journal of Physics. Conference Series
Additional Journal Information:
Journal Volume: 1452; Journal ID: ISSN 1742-6588
Publisher:
IOP Publishing
Country of Publication:
United States
Language:
English
Subject:
17 WIND ENERGY; wake steering; wind plant control; wind direction variability; uncertainty

Citation Formats

Simley, Eric, Fleming, Paul, and King, Jennifer. Field Validation of Wake Steering Control with Wind Direction Variability. United States: N. p., 2020. Web. doi:10.1088/1742-6596/1452/1/012012.
Simley, Eric, Fleming, Paul, & King, Jennifer. Field Validation of Wake Steering Control with Wind Direction Variability. United States. https://doi.org/10.1088/1742-6596/1452/1/012012
Simley, Eric, Fleming, Paul, and King, Jennifer. 2020. "Field Validation of Wake Steering Control with Wind Direction Variability". United States. https://doi.org/10.1088/1742-6596/1452/1/012012. https://www.osti.gov/servlets/purl/1659967.
@article{osti_1659967,
title = {Field Validation of Wake Steering Control with Wind Direction Variability},
author = {Simley, Eric and Fleming, Paul and King, Jennifer},
abstractNote = {Wake steering is a wind farm control strategy wherein upstream turbines are misaligned with the wind direction to redirect their wakes away from downstream turbines, increasing overall wind plant power. Wake steering is often analyzed assuming steady mean wind directions across the wind farm. However, in practice, the wind direction varies considerably over time because of large-scale weather phenomena. Wind direction variability causes the increase in power production from wake-steering to be less than predicted by steady-state models, but more robust wake-steering strategies can be designed that account for variable wind conditions. This paper compares the achieved yaw offsets and power gains from two different 2-turbine wake-steering experiments at a commercial wind farm with model predictions using the FLOw Redirection and Induction in Steady State (FLORIS) control-oriented model, assuming both fixed and variable wind directions. The impact of wind direction variability is modeled by including wind direction and yaw uncertainty in the FLORIS calculations. The field results match the trends predicted, assuming wind direction variability. Specifically, the yaw offsets achieved in the intended control regions are lower than desired, resulting in less power gain, while a slight loss in power occurs for wind directions outside of the intended control region because of unintentional yaw misalignment. The agreement between the model and field results suggests that the wind direction variability model can be used to design wake-steering controllers that are more robust to variable wind conditions present in the field.},
doi = {10.1088/1742-6596/1452/1/012012},
url = {https://www.osti.gov/biblio/1659967}, journal = {Journal of Physics. Conference Series},
issn = {1742-6588},
number = ,
volume = 1452,
place = {United States},
year = {2020},
month = {3}
}

Works referenced in this record:

Optimization Under Uncertainty for Wake Steering Strategies
journal, May 2017


Wind tunnel testing of wake control strategies
conference, July 2016


Robust active wake control in consideration of wind direction variability and uncertainty
journal, January 2018


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


Wind farm power optimization through wake steering
journal, July 2019


A simulation study demonstrating the importance of large-scale trailing vortices in wake steering
journal, January 2018


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


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


Wake steering via yaw control in multi-turbine wind farms: Recommendations based on large-eddy simulation
journal, June 2019


Lidar-based wake tracking for closed-loop wind farm control
journal, January 2017