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AIRE's presentation at WESC 2025

mendez, beatriz; Hannesdóttir, Ásta; Barlas, Athanasios; Dellwik, Ebba; Kassem, Hassan; Dimitriadou, Krystallia

Abstract

Presentations used at the WESC 2025 event at two minisymposia organized by AIRE: MS#01.9 Wind energy optimization for challenging sites and climatic conditions with speical foucs on blade erosion MS#01.11 Understanding the physics and aerodynamics of atmospheric flow for predicting wind power production and evaluating loads

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Erosion risk mapping in Northern Spain comparing two versions of satellite IMERG rainfall data Krystallia Dimitriadou¹, Ásta Hannesdóttir¹ and Charlotte Bay Hasager¹ Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union. Neither the European Union nor the granting authority can be held responsible for them. 1DTU Wind and Energy Systems, Technical University of Denmark, Roskilde, Denmark 2 Leading Edge Erosion (LEE) in wind turbine blades Wind turbine blade with damage on the leading edge Courtesy of Jakob Ilsted Bech •Degrades blade surface, disrupting airflow • Reduces lift, increases drag → lowers power output •High repair/replacement costs •Poor management can undermine wind farm profitability We aim to Discuss the differences on detected rainfall from two satellite products Answer if one of the two is more suitable for erosion risk mapping 3 Integrated Multi-satellitE Retrievals for GPM (IMERG) The GPM constellation –Source: NASA GPM IMERG precipitation L3 Half Hourly 0.1  x 0.1  –Source: NASA IMERG Final products V60B and V70B Coverage: 60◦N to 60◦S latitude Grid spacing: 0.1◦(~11 km) Temporal resolution: 30 min 4 Study area and datasets 5 Study area and datasets 6 Study area and datasets •28 meteorological stations in Navarra, Spain, placed at elevations ranging from 125 m to 1353 m •Time series of rainfall from gauge measurements, IMERG6, and IMERG7 from 2015 –2020 7 IMERG6 & 7-in situ data validation in different temporal scales 8 IMERG6 & 7-in situ data validation in different temporal scales 9 In situ, IMERG6 & 7 rainfall intensities in Navarra (2015-2020) Rain intensities (according to Agencia Estatal de Meteorología -AEMET, adjusted for mm/30 min) 0.1≤ I ≤1: light 0.1< I ≤7.5: moderate 7.5< I ≤15: intense 15< I ≤30: very intense I>30: torrential 1. Navarra stations experienced nearly 70% of light rainfall during the 5 years. 1. IMERG 6 and 7 underestimate light rainfall intensity in all station elevations. 2., 3. IMERG 6 and in situ show similar percentages of moderate and intense rainfall intensity in all station elevations. 4. IMERG 7 and in situ are closer to agreement in very intense rainfall intensities, while IMERG 6 appears to detect very little. 5. IMERG 6 and 7 no detection of torrential rainfall intensity in the hilly and mountainous stations, though IMERG 6 can in stations in the plains. The 28 stations in Navarra are grouped according to their elevation heights in plain, hilly and mountainous categories. 1 2 3 4 5 Thank you! Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union. Neither the European Union nor the granting authority can be held responsible for them. 16 Reach out! ☺ [email protected] Acknowledgements We thank our colleague Jamie Engelhardt Simon for his substantial input and support on the blade lifetime model. Engelhardt Simon