Søren Juhl Andersen

Søren Juhl Andersen is an Associate Professor at the Department of Wind and Energy Systems Flows Wind Turbine Design Division, Technical University of Denmark (DTU). His research focuses on wind turbine wake dynamics, computational fluid dynamics (CFD), and energy systems optimization.

• Education: Not explicitly mentioned in provided texts

Research Interests: Dr. Andersen specializes in wind turbine aerodynamics, turbulence dynamics, and data-driven flow control. His work explores Large Eddy Simulation (LES) for wind farm modeling, Proper Orthogonal Decomposition (POD) for wake characterization, and machine learning applications in wind energy optimization.

Article Trends: Recent publications emphasize wake steering uncertainty, turbulence integral scales, and reduced-order modeling. Key themes include wind farm control strategies, lidar-assisted flow estimation, and cross-code validation of simulation tools.

Projects: He leads initiatives like Train2Wind (2020–2024) and supervises PhD projects on machine learning surrogates, non-equilibrium turbulence dynamics, and wake entrainment studies.

• Conferences: Presented at Wake Conference (2025), TORQUE (2024), and FarmConners (2020)