Conference programme

Back to the programme printer.gif Print




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
Corinne Dubois METEOLIEN, France
Co-authors:
Corinne DUBOIS (1) F Etienne FAUCOU (1) Sophie MARTINONI-LAPIERRE (2) Beatrice POUPONNEAU (2) Vivien POURRET (2) Olivier MESTRE (2)
(1) METEOLIEN, TOULOUSE, France (2) Meteo-France, TOULOUSE, France

Share this poster on:

Printer friendly version: printer.gif Print

Presenter's biography

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

Mrs. Corinne Dubois is electrical engineer with a “nuclear and renewable energies” specialization (Polytechnic Institute of Grenoble- 1988).
She presents more than 25 years of international experience in which 13 years in wind energy projects. She worked 17 years for Cegelec-Alstom Group and acquired significant experience in project management, and on R&D management.
She is professor at INSA MSc Engineering since 2007 and has published a vulgarisation book on wind power plants (Eyrolles - 2009)
C.E.O. of Meteolien since 2005, she also coordinates the R&D department and happens to be EU assessor for EU energy programs.


Poster

Poster Download poster (11.89 MB)

Abstract

Combining National Meteorological meso-scale data modelling and CFD for wind power plant production assessments

Introduction

In order to assist wind energy developers and local authorities, the French Environment and Energy Management Agency, ADEME, has sponsored an updated assessment of the wind resource in France.
Meteolien, a technical SME specialized in wind resource and wind energy production assessment, has joined with Météo-France, the French national meteorological service and Magellium, a GIS company, to address this challenge.

The improvement of meso-scale modelling in resolution and also in the representation of physical phenomena such as convection provides a valuable tool to generate long term wind data series at a kilometric resolution. Data assimilation all along the simulation increases its reliability.
Combining both approaches of meso-scale modelling and CFD modelling may now allow to provide reliable production assessments for wind power plants, provided some conditions are met.


Approach

The process is as follows:
The French numerical weather prediction model, AROME, is used to generate wind time series every hour with a horizontal resolution of 2.5 km.
Data are treated in a second step through an additional modelling process with a computational fluid dynamics (CFD) mode, in order to downscale the results by integrating detailed terrain frames.
Discrepancies between modelled results and reality are obtained by comparison with wind measurements at different height, but also with wind power plants production.


Main body of abstract

In the framework of the French Atlas, the AROME longterm simulation has been performed over 10 years, from 2000 to 2009 and concatenated with the last 5 years of the stored operational runs.
AROME or the CFD models, which are both limited-area models, are used as the last link of a dynamic downscaling chain.
AROME is forced through a larger limited-area model called ALADIN that is itself forced through ERA-Interim reanalysis.
The assessment of uncertainty relies on a bayesian statistics approach.
The CFD model takes then the meso-scale data sets as inputs for downscaling, integrating detailed terrain numerical models and wind turbines characteristics in the same way as traditional longterm production assessments.
In order to qualify and validate the previously described methodology, tests are performed:
The 1st run deals with the comparison between:
• The results obtained by the AROME-10 years and CFD downscaling approach including micrositing and production assessment, and,
• The results of a traditional 12 months measuring campaign correlated with 10 years Meteorological station correlation including micrositing and production assessment.
A 2nd run, if possible, will deal with the comparison between:
• The same results obtained by the AROME-10 years and CFD downscaling approach including micrositing and production assessment, and,
• The real production of an existing wind power plant, extended to 10 years by correlation.

Conclusion

This approach aims to prove that the methodology AROME/CFD can be used with known and manageable uncertainties for wind power production assessments and micrositing.


Learning objectives
The main lesson expected from this approach will be to identify the required cases and conditions of utilisation, so that the results can be deemed equivalent to the ones obtained today through traditional wind assessment methods.
It will also give the limits and conditions of use of the AROME/CFD approach, in order to remain within reasonable uncertainties.
The AROME base is also the source of the AROME model used to provide day-to-day short-term weather forecasts.
As a consequence, this approach will lead to a very accurate short-term assessment capability for any wind power plant over the territory.