🌬️March’s Wind Wisdom challenge
What is a key consideration when using drones to measure wind speed in wind energy applications? 🤔
Take your best guess below 📷Check back on Thursday to see if you got it right ⚙️
| Propeller flow distortion | |
| Drones' position flexibility | |
| Vertical wind speed accuracy |
A groundbreaking study has characterised the wake of a wind turbine using three synchronised Doppler wind lidars, measuring wake behaviour under real atmospheric conditions.
This innovative approach provides detailed insights into velocity deficit and momentum flux distribution, improving our understanding of turbine–flow interactions. Such knowledge is essential for optimising wind farm layouts and increasing renewable energy production.
🌍 In March 2026, the wind energy community will come together at a series of key conferences across the globe, from Africa to Europe and beyond. With major events focusing on the future of energy and technology, this is a great opportunity to collaborate, innovate, and contribute to the clean energy transition. From Africa Energy Indaba (3-5 March) to Wind Offshore (24-26 March), there's something for everyone! ⚡
🌬️ The results are in for February’s Wind Wisdom Challenge!
⚡ Did your knowledge generate the right current of thought? 💭💨
🎬 Watch the video to see if your answer had the power to blow us away! ⚙️Did you get it right? Let us know in the comments!
🌬️February’s Wind Wisdom challenge
What is a key feature of the superstatistical wind field model in predicting wind turbine performance? 🤔
Take your best guess below ⬇️ and put your wind wisdom to the test! ⚙️
Check back on Thursday to see if you got it right and find out why this matters for wind-energy performance! 🔍
According to Eurostat, wind energy generated 30.7% of renewable electricity in the EU in Q3 2025, supplying about 15% of total EU electricity and reinforcing its role in Europe’s clean power system 🌍.
To support this growing share, projects like FLOW are improving wind farm modelling and forecasting, helping maximise energy output, strengthen grid stability 🔌 and lower costs as wind power expands.
💡 Want to learn more about the future of wind energy? Follow us and visit our website!
Today we celebrate the International Day of Women and Girls in Science
👩🔬Women hold only 32% of full-time jobs in the renewables sector (IRENA). There’s still work to do!
At FLOW, we are committed to empowering women in STEM at every level.
Thank you to all women in STEM 💜
📖 Paper of the Month – February 🌬️
Start the year on the right foot with our first reading recommendation of 2026.
🔬 The paper examines how wind-farm flow models of different complexity can be rigorously verified and validated using a unified framework. By combining uncertainty analysis with high-fidelity reference data, it shows that model accuracy depends more on atmospheric conditions than on model complexity alone - a key insight for both research and industry.
At the start of the year, we set our vision and ambitions for 2026.
Now February gives us space to look back and draw motivation from what we achieved together in 2025.
From scientific progress to strong collaboration across the FLOW consortium, last year was full of milestones that continue to shape our journey forward.
Here’s a small snapshot of what we are proud of and what drives us as we move into the rest of the year. 💙🌬️
🌬️ 𝐃𝐢𝐝 𝐲𝐨𝐮 𝐤𝐧𝐨𝐰? 🧐
Even in the highly turbulent atmospheric boundary layer, the mean wake of a utility-scale wind turbine rapidly self-organises into an approximately Gaussian velocity deficit, already at about two rotor diameters downstream.
This shows that, despite strong instantaneous turbulence and rotor-induced rotation, wind turbine wakes exhibit a remarkably robust statistical structure under real atmospheric conditions — a key assumption behind modern wake models.
