Faculty of Engineering


Improving the performance of wind farms

The aim of this project is to better understand and control the behaviour of wind turbines in a wind farm in response to changeable wind flow conditions.

This project uses existing sensors on wind turbines in the entire wind farm to predict future loads, to allow turbine controllers to achieve early response to gusts and extreme wind events.

 

b-energy-windfarm

 

In conventional wind farm operations each turbine in a farm has sensors to detect wind flow, and a reactive controller which alters the turbine response appropriately. This means that existing controllers act only after loads have already been measured by its sensors, and after peak loads and fatigue damage may have already occurred.

 

Key focus areas/issues


The overall goal of this pilot study is to investigate a novel structural load control method for wind farms using transient airflow predictions. Specific objectives are:

  • Develop a flexible numerical model for transient flow through an array of wind turbines.
  • Develop a dynamic wind estimator capable of extracting local wind parameters from existing turbine sensors.
  • Develop a wind field predictor model for online estimation of short term future wind.
  • Assess the load control performance of the proposed method in simulation.
cl-windfarm-turbine-animated

 

 

 

Left: A large eddy simulation model of two 5MW wind turbines, to study the effect of wake on the loading of the downstream turbine.

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Key people


Contact


Karl Stol - Control related enquiries
Email: k.stol@auckland.ac.nz
Phone: +64 9 373 7599 extn 89671

John Cater - Flow modelling enquiries
Email: j.cater@auckland.ac.nz
Phone: +64 9 373 7599 extn 87050

Charles Unsworth - Wind prediction enquiries
Email: c.unsworth@auckland.ac.nz
Phone: +64 9 373 7599 extn 82461

 

Related publications


Storey, R., Norris, SE., Stol, K., & Cater, J. E. (2012). Large Eddy Simulation of Dynamically Controlled Wind Turbines in an Offshore Environment. Wind Energy. doi:10.1002/we.1525

Spencer, M. D., Stol, K. A., Unsworth, C. P., Cater, J. E., & Norris, S. E. (2012). Model Predictive Control of a Wind Turbine using Short Term Wind Field Predictions. Wind Energy. doi:10.1002/we.1501

Storey, R, Norris, SE, Cater, JE, Stol, K, “Large Eddy Simulation of Dynamically Controlled Wind Turbines using Actuator Discs,” 50th AIAA Aerospace Sciences Meeting including the 30th ASME Wind Energy Symposium, Nashville, TN, USA, 9-12 Jan 2012.

Norris, SE, Storey, R, Cater, JE, Stol, K, “Modelling Gusts Moving Through Wind Farms,” 50th AIAA Aerospace Sciences Meeting including the 30th ASME Wind Energy Symposium, Nashville, TN, USA, 9-12 Jan 2012.

Spencer, M, Stol, K, Cater, JE, 2012, “Predictive Yaw Control of a 5MW Wind Turbine Model,” 50th AIAA Aerospace Sciences Meeting including the 30th ASME Wind Energy Symposium, Nashville, TN, USA, 9-12 Jan 2012.

Storey, R, Norris, SE, Stol, K, Cater JE, 2011, ”Large Eddy Simulation of Dynamically Controlled Wind Turbines,” Poster at EWEA OFFSHORE 2011, Amsterdam, Netherlands, 29 Nov 2011 - 01 Dec 2011.

Norris, S.E., Cater, J.E., Unsworth, C.P.. & Stol, K.A., 2010, “Wind Turbine Wake Modelling using Large Eddy Simulation” 17th Australasian Fluid Mechanics Conference, 5-9th December 2010, Auckland

 

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