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!
PO203: Bringing prototype sensing to series: innovative load measurements based on shape sensors
Joana Martins, Development Engineer, Fibersail
Abstract
As the wind energy sector advances towards larger and more complex turbines, there is a growing need for innovative Condition Monitoring Systems (CMS) to enhance design, maintenance, and overall turbine performance. Traditional load measurement methods, such as strain gauges and load cells, while widely used, offer only localized data and are often impractical for comprehensive blade analysis. Additionally, prototype testing with numerous sensors is costly and assumes uniformity across blades, which is not always accurate due to variations in weight and stiffness. Fibersail addresses these challenges with its advanced shape sensing solution, integrating fiber-optic technology into its CMS. This system combines a shape sensor (FSSS) installed longitudinally from the root to the tip of the blade with a load sensor (FSLS) positioned at the blade root. The FSSS measures parameters such as blade curvature, twist, and deflection, providing real-time data across the blade's length. The effectiveness of this new paradigm was tested using data from an operational wind turbine, where all three blades were equipped with Fibersail's CMS and two reference load sensors. The analysis of high-frequency data over one week showed that the Fibersail CMS accurately computed load distribution along the blade. Results indicated good correlation with reference load measurements, with RMSE values of 0.0608 for a rotor speed of 0.37 rpm and 0.093 and 0.11 for speeds of 7.5 and 10.3 rpm, respectively. These findings demonstrate the potential of Fibersail's CMS for providing detailed, distributed load measurements and real-time shape data. This approach offers a cost-effective alternative to prototype-level sensing, improving turbine monitoring and management by enabling precise, distributed load assessments across the blade structure.
No recording available for this poster.
