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 the academic community. We look forward to seeing you there!
PO264: In Pursuit of Data Accuracy: Addressing North Offset in Wind Turbines SCADA data
Julien Tissot, Head of Innovation, i4SEE TECH GmbH
Abstract
Data quality should remain a critical concern in the accurate analysis of wind turbine performance, especially when using SCADA data. Despite the current landscape of "data-driven decision-making," there is often a prevailing assumption that even unfiltered data can yield valuable insights when processed through seemingly magical "black-box" models. This study introduces a simple and pragmatic methodology designed to detect North offset biases in large wind turbine fleets. Developed to function across a broad range of turbine types, the algorithm utilizes data from neighboring turbines within the same wind farm and across one's portfolio. Currently operational for a significant portion of the i4SEE fleet, this algorithm provides monthly updates to account for potential temporal shifts due to human intervention, software changes, or other variables. By correcting these offsets, we lay the foundation for more reliable, future data analyses, thereby addressing the long-standing "garbage in, garbage out" issue. Delegates reviewing this work will gain insights into the identification and correction of North offset biases, enabling more precise data analyses for their own fleets, as well as a broader understanding of the typical importance of this bias in a standard wind turbine fleet.
No recording available for this poster.
