• Wind resource assessment for wind turbine control: Exploiting pre-construction studies to design WTG control strategy; discuss relevant time and length scales in the inflow conditions; wakes measurements and mitigation at the WTG scale; use of LiDARs for measurement of advanced characteristics of wind flow.
  • Active flow control on wind turbine blades: Active flow control for aerodynamic performance improvement and/or load mitigation through mechanical , fluidic or plasma actuators located on wind turbine blades; open- and closed-loop control
  • Lidar-assisted control of Wind Turbin: Advanced control of wind turbine operation (blade pitch or rotor yaw angles, power, rotation speed, etc) assisted by a measurement of the incoming flow
  •  Wind farm control: Power curtailment and rotor misalignment control strategies in order to improve the overall power production of a wind farm
  • New concepts for smart rotor: Bio-mimetics, disruptive concepts, …


  • Tuhfe Göçmen, DTU, Denmark
  • Gerard Schepers, ECN, Netherlands
  • David Schlipf, University of Stuttgart, Germany
  • Peter Stuart, RES Ltd, UK


  • Abstract submission deadline: May 15, 2018
  • Notification of acceptance: June 15, 2018


The registration is free, but mandatory. Please register online on the SMARTEOLE colloquium website.

Please submit a 3-page abstract following the supplied template (No extended abstract will be requested. A book of abstracts will be provided online). You should be registered first, to see the “submissions” tab.

Web site:


The 42-month SMARTEOLE project was launched on January 1st, 2015, following the French National Research Agency (ANR) call for projects on the theme “The energy efficiency of processes and systems”. This project is aimed at improving the energy production efficiency and lifespan of wind turbines via the development of innovative control solutions. One of the major challenges for the development of the wind power sector is reducing the cost of the energy produced. SMARTEOLE will lead to the development of control techniques designed to improve the operating conditions of wind turbines. The challenge is to integrate innovative sensor systems in control design (particularly LiDAR), that are capable of accurately detecting incoming wind field characteristics. Innovative control technologies have been developed: active lift control at blade scale, LiDAR assisted yaw and pitch control at turbine scale, and wind turbine wake management at farm scale. They have formed the focus of a range of research, from fundamental research conducted at lab scale up to full-scale demonstration in real conditions.

SMARTEOLE project is funded by Agence Nationale de la Recherche (ANR-14-CE05-0034).


  • Engie Green, Lille
  • IFP-EN, Rueil Malmaison
  • LAAS Lab – CNRS, Toulouse
  • Leosphere, Orsay
  • LHEEA Lab, Ecole Centrale de Nantes – CNRS (coordinator 2018)
  • PRISME Lab, Université d’Orléans (coordinator 2015-2017)