Charlotte Bay Hasager

Charlotte Bay Hasager serves as Professor in the Department of Wind and Energy Systems at the Technical University of Denmark (DTU), specializing in offshore wind energy meteorology with expertise in remote sensing, boundary-layer processes, and environmental load impacts on wind turbines. Her research directly supports UN Sustainable Development Goals through renewable energy innovation and climate action initiatives.

Her primary research domains include:

• Offshore wind resource assessment using satellite and radar technologies
• Boundary-layer meteorology and surface flux dynamics
• Leading edge erosion mechanisms from rain-wind interactions
• AI-driven operational strategies for wind farm durability
• Synthetic Aperture Radar (SAR) applications for wind field mapping

Recent publications (2024-2025) demonstrate converging trends in erosion risk modeling, reinforcement learning for turbine operation, and advanced remote sensing techniques. These works span renewable energy engineering, meteorological science, and artificial intelligence applications, with strong emphasis on practical solutions for offshore wind farm challenges under extreme weather conditions.

Professor Hasager actively secures major research funding through projects including:

• AIRE Horizon Europe project (2023-2026): Atmospheric flow integration for wind farm design
• Thunderbolt project (2023-2025): Wind power optimization initiatives
• ESA WAII project (2023-2025): Explainable AI for SAR wind assessment
• CCA LEE project (2022): Leading Edge Erosion cross-cutting research
• INOWER project (2022-2023): International offshore wind energy networks

She maintains significant scientific leadership through conference organization (6th International Symposium on Leading Edge Erosion, 2025), workshop participation (Sandia Blade Workshop, 2024), and media contributions on wind energy topics including North Sea wind farm impacts and satellite Earth observation.