Wind power forecasting: IEA Wind Task 36 & future research issues

Gregor Giebel (1) , Joël Cline (1) , Helmut Frank (2) , Will Shaw (3) , Pierre Pinson (1) , Bri-Mathias Hodge (4) , Georges Kariniotakis (5) , Jens Madsen (6) , Corinna Möhrlen (7)

1 Risø DTU - Risø National Laboratory for Sustainable Energy
2 DWD - Deutscher Wetterdienst [Offenbach]
3 PNNL - Pacific Northwest National Laboratory
4 NREL
5 PERSEE - Centre Procédés, Énergies Renouvelables, Systèmes Énergétiques
6 VATTENFALL, Research and Development
7 WEPROG Aps

This paper presents the new International Energy Agency Wind Task 36 on Forecasting, and invites to collaborate within the group. Wind power forecasts have been used operatively for over 20 years. Despite this fact, there are still several possibilities to improve the forecasts, both from the weather prediction side and from the usage of the forecasts. The new International Energy Agency (IEA) Task on Forecasting for Wind Energy tries to organise international collaboration, among national meteorological centres with an interest and/or large projects on wind forecast improvements (NOAA, DWD, MetOffice, met.no, DMI,...), operational forecaster and forecast users. The Task is divided in three work packages: Firstly, a collaboration on the improvement of the scientific basis for the wind predictions themselves. This includes numerical weather prediction model physics, but also widely distributed information on accessible datasets. Secondly, we will be aiming at an international pre-standard (an IEA Recommended Practice) on benchmarking and comparing wind power forecasts, including probabilistic forecasts. This WP will also organise benchmarks, in cooperation with the IEA Task WakeBench. Thirdly, we will be engaging end users aiming at dissemination of the best practice in the usage of wind power predictions. As first results, an overview of current issues for research in short-term forecasting of wind power is presented.

Mots clés: Wind power; forecasting

Gregor Giebel, Joël Cline, Helmut Frank, Will Shaw, Pierre Pinson, et al.. Wind power forecasting: IEA Wind Task 36 & future research issues. Journal of Physics: Conference Series, 2016, The Science of Making Torque from Wind (TORQUE 2016), 753, pp.Article 032042. ⟨10.1088/1742-6596/753/3/032042⟩. ⟨hal-01409112⟩