WESC 2025 - New methods for turbulence measurements and models in offshore wind (NEMO)

The knowledge of the mean wind resource at a site is decisive for a wind project to be economically feasible over the lifetime of the project. Whilst the mean wind characteristics (e.g., wind speed and direction distributions) are relatively simple to measure, a lack of confidence in the characterization of wind fluctuations, i.e., turbulence, has subsequently resulted in high levels of conservativeness being employed by wind turbine designers.

In short, the assessment of turbulence characteristics as well as its extremes is highly important for an optimal planning and design of wind energy projects. In particular, for the application in offshore wind, essential knowledge gaps exist which are to be approached and closed through the project “NEMO”. 

The Fraunhofer Institute for Wind Energy Systems (IWES) and France Energies Marines (FEM) collaborate to develop experimental and numerical methods addressing this major challenge for the offshore wind industry. Developers and operators of offshore wind farms as well as wind turbine manufacturers will benefit from the results of the collaboration through the provision of methods for an improved site assessment which will improve the survivability, reliability and performance of wind farms.

A mini-symposium during WESC 2025 conference was co-organized by Julia Gottschall and Maxime Thiébaut, to introduce the project and its objectives, present preliminary results and further contributions from outside of the consortium. The following presentations were held during Mini-Symposium #01.7.1 and #01.7.2:

 - Mini-Symposium #01.7.1:

• Maxime Thiébaut on "Reconstruction methods for turbulence measurements using ground-based wind pulsed lidar profilers: comparison and future improvements" (P1_ThiMax_20250626.pdf) 
• Warren Watson on "Enhancing Floating Lidar Turbulence Intensity Accuracy: A HybrMotion Compensation and Machine Learning Approach" (20250626_WESC_FLS_TI_ML_MC_watwar.pdf)
• Giacomo Rapisardi on "Height Extrapolation of Floating Lidar Turbulence Intensity Using Machine Learning: A Comparative Study Against Multiple References" (wesc25_slides_rapisardi.pdf)
• Susumu Shimada on "Impact of Scanning Schedules on Turbulence Intensity Measurements Using Dual Scanning LiDAR Systems" (P4_shisus_20250617.pdf)

 - Mini-Symposium #01.7.2:

• Martin Dörenkämper on "A comprehensive evaluation of turbulence intensity from a mesoscale model for offshore wind sites" (20250626_WESC2025_NEMO_WP4.pdf)
• Tanguy Lunel on "Characterisation of atmospheric boundary layer turbulence in the Gulf of Lion: insights from atmospheric models and a wind lidar profiler" (25-06-25_mesoscale_tke_modelling_v1.pdf)
• Sonali Maurya on "Application of Universal Multifractal framework on data collected from an off-shore wind farm" (8572_Sonali_Maurya_WESC_2025_06_26_final.pdf)
• Zhi Liang on "The field evaluation on measurement accuracy of Turbulence Intensity (TI) of Nacelle Mounted Wind Lidar" (WESC2025_WCN_TI_VFF.pdf)