Posters
Come meet the poster presenters to ask them questions and discuss their work
We would like to invite you to come and see the posters at our upcoming conference. The posters will showcase a diverse range of research topics, and will give delegates an opportunity to engage with the authors and learn more about their work. Whether you are a seasoned researcher or simply curious about the latest developments in your field, we believe that the posters will offer something of interest to everyone. So please join us at the conference and take advantage of this opportunity to learn and engage with your peers in industry and the academic community.
On 9 April at 17:15, we’ll also hold the main poster session and distinguish the 7 best posters of this year’s edition with our traditional Poster Awards Ceremony. Join us at the poster area to cheer and meet the laureates, and enjoy some drinks with all poster presenters!
We look forward to seeing you there!
PO128: A data-driven approach to wind-turbine icing
Kjetil Thøgersen, Data Scientist, Statkraft
Abstract
In cold climates, icing on wind turbines presents several challenges. These challenges may be safety related, due to the risk of ice throws from turbines, or monetary, due to icing limiting turbine performance. The latter example leads to direct profit losses due to reduced production and will lead to balancing costs if icing is not properly forecasted day-ahead. The power lost due to ice formation on wind turbines involves several processes, including ice formation, melting and throw off. Due to the complexity in combining all of these processes in a single model for power production loss, we investigate a data-driven approach. Leveraging operational wind turbine data and historical weather forecasts, we train machine learning models to generate day-ahead and intraday predictions for power production loss due to icing for our wind parks in the Nordics. We show that utilizing machine learning models for wind turbine icing loss has the capability to improve day ahead wind power production forecasts, while at the same time providing early warnings improving wind site safety.
No recording available for this poster.
