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!
PO115: Measurement uncertainty for the envelope of operational conditions of the EOLOS floating lidar system
Jose Miguel Garro Fernandez, Data Scientist, EOLOS Floating Lidar Solutions
Abstract
This work aims to thoroughly delineate the envelope of operational conditions (EOC) for the EOLOS Floating LiDAR System (FLS200) fleet, providing a detailed comparison between the Evidence-Based EOC and the EOC observed during public Specific Measurement Campaigns (SMC), such as those conducted by NYSERDA and RVO. The Evidence-Based EOC is established by recording a comprehensive list of Environmental Variables (EV) during buoy validations trials. These variables include atmospheric conditions, oceanographic factors, FLS-specific metrics, and LiDAR-related parameters, all as indicated in the IEC CD 61400-50-4 standard. The analysis of these environmental variables characterizes the performance of the FLS200 under different conditions, with a specific emphasis on its ability to meet the Key Performance Indicators (KPIs) set out in the OWA Carbon Trust Roadmap Stage 3. This evaluation highlights the FLS200's capability to function effectively across diverse environmental and operational scenarios in various regions of the world, demonstrating its robustness and reliability. In addition to performance characterization, this work also explores the uncertainty classification associated with the FLS200 type. The assessment of classification uncertainty is critical, as it directly impacts the bankability of the data collected by the system. This study compares the reduced uncertainty achieved by the FLS200 when using different evaluation frameworks, specifically focusing on the methodologies outlined in the IEC CD 61400-50-4 and IEC 6100-12-1 standards. The comparison considers both the accuracy class and the verification SMC approach, offering insights into the effectiveness of each method in reducing classification uncertainty. By providing a comprehensive analysis of the FLS200's performance across various operational environments and under different measurement campaigns, this work contributes to a deeper understanding of its capabilities and the factors influencing its bankability.
No recording available for this poster.
