WEBINAR: Beyond traditional models: Advancing turbine interaction with WindFarmer CFD.ML
Learn how to improve your rapid predictions of blockage and wakes by considering site-specific atmospheric conditions with DNV's new innovative model; WindFarmer CFD.ML v2.
As wind farms expand, especially offshore, predicting turbine interactions becomes more complex. Traditional models often fail to account for varying atmospheric conditions — such as atmospheric stability, the boundary layer height, temperature, and turbulence profiles through and above the boundary layer —that all significantly impact turbine wake and blockage effects, and hence wind farm production.
To overcome these challenges, DNV has developed a new innovative tool; WindFarmer CFD.ML v2. This innovative model combines Computational Fluid Dynamics (CFD) with Machine Learning (ML) to create predictions that accurately resolve the impact of atmospheric conditions on turbine interactions at a speed comparable to other rapid models. Trained on a vast amount of high-quality data from high-fidelity simulations, CFD.ML offers a more accurate, efficient, and scalable solution for wind farm developers, operators, and engineers.
Join us for an exclusive webinar where we will introduce you to WindFarmer CFD.ML v2.
This 45-minute session will cover a variety of topics, including:
- Explore the Limitations of Traditional Models: Understand why existing rapid models fall short in predicting turbine interactions and energy yield accurately.
- Discover the Power of CFD.ML: Learn how this state-of-the-art model can help you enhance your wind farm's performance.
- Get an Inside Look at Cutting-Edge Technology: See how DNV’s WindFarmer CFD.ML leverages machine learning techniques and high-fidelity simulation data of from future wind farm designs to provide a future-ready and reliable modeling.
- Real-World Validation: Gain insights from DNV’s collaboration with industry leader RWE, showcasing the real-world performance of CFD.ML against measured wind farm project production data.
Who should attend:
- Wind farm developers: Learn advanced modeling techniques to optimize turbine placement and maximize energy output.
- Wind energy analysts: Discover new tools for accurate predictions of turbine interactions considering atmospheric effects.
- Project managers: Explore cost-effective strategies to enhance wind farm performance and operational efficiency.
- Renewable energy consultants: Stay ahead of industry trends with cutting-edge technology that benefits your clients.
Speakers:
- Tom Levick – WindFarmer Modelling Lead, DNV
- Karol Mitraszewski – WindFarmer Scientific Developer, DNV
- Cristoffer Kos – Business Development Manager, DNV
Dates and times:
30th October, 10 AM CET
30th October, 8PM CET / 3PM EDT / 12PM PDT
If you cannot join at the specified time above, register now and we'll send you the webinar recording when it is ready.