Back to the programme printer.gif Print

Delegates are invited to meet and discuss with the poster presenters in this topic directly after the session 'Remote sensing: From toys to tools?' taking place on Wednesday, 12 March 2014 at 14:15-15:45. The meet-the-authors will take place in the poster area.

Jordi Armet Unzeta Alstom renovables España S.L, Spain
Jordi Armet Unzeta (1) F P Victor Ramirez Rivas (1) Ignasi Simon Torrens (1) Alex Meilan Moñiz (1)
(1) Alstom renovables España S.L, Barcelona, Spain

Printer friendly version: printer.gif Print

Presenter's biography

Biographies are supplied directly by presenters at EWEA 2014 and are published here unedited

Mr. Armet has performed his professional career in the wind industry over a period of 8 years. At this moment he works as a senior measurement engineer in the Innovation department of Alstom Renovables España.
He studied Physics and Meteorology at University of Barcelona. After that, he worked in the wind industry in different domains such as weather forecast, wind resource, electrical market and wind turbine performance. Since 2 years he is working in Alstom carrying out the coordination and analysis of certification campaigns for wind turbine prototypes. His research is focused on CFD simulations and wind sensor measurements.


Procedure for nacelle-mounted lidar validation. conclusions on 1HZ sampling rate analysis


Nacelle mounted LIDAR is a potential alternative for wind measurements with a big interest in offshore wind farms as a substitute of traditional meteorological mast because their easy setting up and low installation cost.
The report is focused on the validation campaign of a commercial LIDAR in different terrain conditions and their applicability in future certification campaigns as well as for control purposes.


This article describes the full procedure for a validation campaigns carried out with two beams pulsed nacelle LIDAR for different terrain/climate conditions (flat and complex) by comparison with the current wind reference (cup anemometers/wind vane). In both campaigns, a well instrumented met mast installed under IEC requirements for power performance purposes, has allowed obtain a single data base with LIDAR-Wind turbine-met mast signals.

Main body of abstract

Firstly, in Le Vieux Moulin wind farm (EDPR), it has been deeply analysed the performance of LIDAR in flat terrain installing it on top of an ALSTOM ECO110 (3MW) wind turbine synchronizing data from Wind turbine-Met mast-LIDAR via CAN-bus. This has allowed obtaining a well synchronized 1Hz database making possible to analyse the correlation of the wind speed and wind direction with the ones measured with the traditional met mast at high sampling rate. Additionally, 10 minutes statistics has also been used for the analysis.
After the first phase of validation, the device has been moved to be tested in a complex terrain (Lucillo wind farm owned by EDPR) on the nacelle roof of an ALSTOM ECO80 (1670KW). In this case server synchronization has been carried out allowing analyse the LIDAR performance using 10-minutes statistics. The impact of the clean air of the site (mountainous area) in the data availability has been also studied.


Both, wind speed and wind direction have been the main parameters studied to validate the LIDAR. Taking cup anemometer and wind vane as the current reference, it has been performed different correlations applying different filters as a function of 10-min LIDAR data availability. This has allowed fixe the availability limit to get acceptable accuracy for future measurement campaigns. Finally, it has been discussed how will be increased the length of the future certification campaigns in case of apply the filters on availability with the limits found.

Learning objectives
This campaign has allowed to test the LIDAR CAN-Bus interface and observe how it is capable to be synchronized with other systems for future certification and control applications.
The data processed has highlighted the relationship between the amount of available data (in every 10 min time series) and the accuracy of LIDAR. This relationship points out the need for future IEC standards to include requirements about data availability to could assure the required accuracy level.