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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!
PO210: Enhanced Lightning Risk Assessment for Wind Turbine Portfolios: A Terrain and Layout-Inclusive Approach
Julien TISSOT, Head of Innovation, SkySpecs
Abstract
Lightning strikes significantly contribute to blade damage and downtime in wind farms, yet many operators lack insight into which turbines are most at risk within their portfolio. This study aims to address this gap by integrating global orographic data and wind farm layout information to calculate the lightning collection area for each turbine, factoring in neighboring turbines and surrounding terrain. Using the IEC 61400-24 ed 2010 methodology, which recommends considering local terrain, we project a cone using nacelle height, rotor radius and turbine elevation until it intersects with the actual ground. This approach, unlike the simplified ed 2019 version, allows for a detailed and accurate calculation of collection areas, especially in complex terrains where the collection area can vary significantly. We utilized SRTM and ASTER datasets for elevation data, along with both state-provided and third-party global lightning strike datasets for risk assessment. Our method ensures no overlap in collection areas among neighboring turbines within a wind farm, providing a distinct risk profile for each turbine. The results reveal that in simple terrains and offshore environments, differences in collection areas are primarily influenced by wind farm layout. In contrast, in complex terrains, local orography is the dominant factor, with some turbines having theoretical collection areas up to ten times larger than their neighbors. By combining these collection areas with lightning strike datasets, we can calculate the risk as defined by IEC 61400-24, enabling operators to rank turbines based on risk levels across their portfolio. This comprehensive risk assessment approach allows for better prioritization of lightning-related inspections and maintenance efforts, enhancing the reliability and safety of wind farms.
No recording available for this poster.