Conference programme

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Delegates are invited to meet and discuss with the poster presenters during the poster presentation sessions between 10:30-11:30 and 16:00-17:00 on Thursday, 19 November 2015.

Lead Session Chair:
Stephan Barth, ForWind - Center for Wind Energy Research, Germany
Guillaume Terris La Compagnie du Vent, France
Guillaume Teris (0) F Philippe Alexandre (0) Matthieu Boquet (1)
(1) La Compagnie du Vent ENGIE group (ex : GDF-SUEZ group) , Montpellier, France (2) Leosphere, Orsay, France

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Presenter's biography

Biographies are supplied directly by presenters at EWEA 2015 and are published here unedited


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The evaluation of the wind farm production once in operation is a critical aspect of its performance monitoring. It is important to measure and understand the reasons for an eventual gap between the production estimate before construction and the actual production obtained in order to take the correct decisions and increase the global cost-effectiveness of the wind farm.


In order to better characterize the current production of one of its wind farm, the French developer and operator La Compagnie du Vent (Group GDF Suez) has started the PICOWIND project, where a series of instruments has been deployed. Among them, a ground-based lidar is used to supplement incomplete met masts data and a nacelle-based lidar will measure a wind turbine power curve. Thus both the wind resource and the turbines performance will be assessed in a more complete way.

Main body of abstract

The PICOWIND project started in 2013 and aims to deeply evaluate and improve the power production of a 22MW wind farm in operation. La Picoterie Wind farm (11 turbines Gamesa ; G80 2 MW ; 78m at hub height) is located in Charly-sur-Marne (France). It was first observed that the met mast was not adequately positioned and often in the wake of a wind turbine, therefore not capturing well the wind resource available at the site. It was then decided to install a ground-based Lidar, WINDCUBE v1 type, to resolve this issue and get a more complete knowledge of the real wind conditions. Secondly, the performance of wind turbines is assessed through the deployment of a nacelle-based Lidar, Wind Iris type, which permits accurate power curve measurements.
The Lidar and turbine data are analyzed to estimate the gap between the real production and the production estimated in the pre-construction phase. Reasons have been found and led to take adequate actions to improve the production.


Measuring and understanding the performance of wind farms in operation is a critical aspect to take correct decisions that will lead to a significant production increase. These analyses may require the use of additional measurement instruments, like lidars, which benefits are demonstrated in this particular PICOWIND project.

Learning objectives
The audience will learn how a wind farm underperformance can be analyzed and corrected. A concrete case study based on an operating wind farm where additional Lidars have been deployed will be presented, it is the PICOWIND project, and will give the audience real world experiences.