Analysis of control-oriented wake modeling tools using lidar field results

Abstract. The objective of this paper is to compare field data from a scanning lidar mounted on a turbine to control-oriented wind turbine wake models. The measurements were taken from the turbine nacelle looking downstream at the turbine wake. This field campaign was used to validate control-oriented tools used for wind plant control and optimization. The National Wind Technology Center in Golden, CO, conducted a demonstration of wake steering on a utility-scale turbine. In this campaign, the turbine was operated at various yaw misalignment set points, while a lidar mounted on the nacelle scanned five downstream distances. Primarily, this paper examines measurements taken at 2.35 diameters downstream of the turbine. The lidar measurements were combined with turbine data and measurements of the inflow made by a highly instrumented meteorological mast on-site. This paper presents a quantitative analysis of the lidar data compared to the control-oriented wake models used under different atmospheric conditions and turbine operation. These results show that good agreement is obtained between the lidar data and the models under these different conditions.

[1]  Fernando Porté-Agel,et al.  Wind Turbine Wake Mitigation through Blade Pitch Offset , 2017 .

[2]  Jennifer Annoni,et al.  A tutorial on control-oriented modeling and control of wind farms , 2017, 2017 American Control Conference (ACC).

[3]  S. Pope Turbulent Flows: FUNDAMENTALS , 2000 .

[4]  Carlo L. Bottasso,et al.  Wind tunnel testing of wake control strategies , 2016, 2016 American Control Conference (ACC).

[5]  R. Stull An Introduction to Boundary Layer Meteorology , 1988 .

[6]  Jennifer Annoni,et al.  Gradient-Based Optimization of Wind Farms with Different Turbine Heights , 2017 .

[7]  Fernando Porté-Agel,et al.  Influence of atmospheric stability on wind-turbine wakes: A large-eddy simulation study , 2014 .

[8]  J. W. van Wingerden,et al.  A Control-Oriented Dynamic Model for Wakes in Wind Plants , 2014 .

[9]  Jason R. Marden,et al.  Wind plant power optimization through yaw control using a parametric model for wake effects—a CFD simulation study , 2016 .

[10]  Kathryn E. Johnson,et al.  Wind farm control: Addressing the aerodynamic interaction among wind turbines , 2009, 2009 American Control Conference.

[11]  Jeroen van Dam,et al.  Mechanical Loads Test Report for the U.S. Department of Energy 1.5-Megawatt Wind Turbine , 2015 .

[12]  Jennifer Annoni,et al.  Analysis of axial‐induction‐based wind plant control using an engineering and a high‐order wind plant model , 2016 .

[13]  David Schlipf,et al.  Lidar-based wake tracking for closed-loop wind farm control , 2016 .

[14]  Fernando Porté-Agel,et al.  Turbulent Flow Inside and Above a Wind Farm: A Wind-Tunnel Study , 2011 .

[15]  J. Højstrup,et al.  A Simple Model for Cluster Efficiency , 1987 .

[16]  Kathryn E. Johnson,et al.  Evaluating techniques for redirecting turbine wakes using SOWFA , 2014 .

[17]  Michael Hölling,et al.  Wind tunnel tests on controllable model wind turbines in yaw , 2016 .

[18]  Jan-Willem van Wingerden,et al.  Robust lidar-based closed-loop wake redirection for wind farm control , 2017 .

[19]  J. Jonkman,et al.  Definition of a 5-MW Reference Wind Turbine for Offshore System Development , 2009 .

[20]  L.Y. Pao,et al.  Control of variable-speed wind turbines: standard and adaptive techniques for maximizing energy capture , 2006, IEEE Control Systems.

[21]  Ervin Bossanyi,et al.  Handbook of wind energy , 2001 .

[22]  F. Porté-Agel,et al.  A new analytical model for wind-turbine wakes , 2013 .

[23]  Ismael Mendoza,et al.  Power Performance Test Report for the U.S. Department of Energy 1.5-Megawatt Wind Turbine , 2015 .

[24]  Jason Roadman,et al.  Acoustic Noise Test Report for the U.S. Department of Energy 1.5-Megawatt Wind Turbine , 2015 .

[25]  Fernando Porté-Agel,et al.  A new analytical model for wind farm power prediction , 2015 .

[26]  Jennifer Annoni,et al.  Full-Scale Field Test of Wake Steering , 2017 .

[27]  Martin Kühn,et al.  Estimating the wake deflection downstream of a wind turbine in different atmospheric stabilities: an LES study , 2016 .

[28]  Andrew Ning,et al.  Comparison of two wake models for use in gradient-based wind farm layout optimization , 2015, 2015 IEEE Conference on Technologies for Sustainability (SusTech).

[29]  Andrew Ning,et al.  Wind plant system engineering through optimization of layout and yaw control , 2016 .

[30]  E. Migoya,et al.  Application of a LES technique to characterize the wake deflection of a wind turbine in yaw , 2009 .

[31]  Paul Fleming,et al.  A simulation study demonstrating the importance of large-scale trailing vortices in wake steering , 2018 .

[32]  Johan Meyers,et al.  Wake structure in actuator disk models of wind turbines in yaw under uniform inflow conditions , 2016 .

[33]  Jennifer Annoni,et al.  Field test of wake steering at an offshore wind farm , 2017 .

[34]  F. Porté-Agel,et al.  Analytical Modeling of Wind Farms: A New Approach for Power Prediction , 2016 .

[35]  Paul Fleming,et al.  Field test of wake steering at an offshore wind farm , 2017 .

[36]  N. Jensen A note on wind generator interaction , 1983 .

[37]  F. Porté-Agel,et al.  Experimental and theoretical study of wind turbine wakes in yawed conditions , 2016, Journal of Fluid Mechanics.

[38]  Rebecca J. Barthelmie,et al.  Analytical modelling of wind speed deficit in large offshore wind farms , 2006 .

[39]  Neil Kelley,et al.  Lidar Investigation of Atmosphere Effect on a Wind Turbine Wake , 2013 .

[40]  Ervin Bossanyi,et al.  Wind Energy Handbook , 2001 .