Paul van der Laan

Paul van der Laan is a Senior Researcher at the Department of Wind and Energy Systems, Technical University of Denmark (DTU). His work focuses on wind energy systems, particularly computational fluid dynamics (CFD) modeling of wind turbine wakes, atmospheric boundary layers, and wind farm flow optimization. He actively contributes to research projects and publications in wind energy, with a focus on Reynolds-averaged Navier-Stokes (RANS) simulations and turbulence modeling.

• Research Interests: Wind energy systems, CFD modeling, atmospheric boundary layers, wind turbine wake analysis, turbulence modeling, and wind farm parametrization.
• Projects: Involved in initiatives like Train2Wind (Training School in Entrainment of Wind Power) and EERA-DTOC (Design Tools for Offshore Wind Farm Clusters).
• Supervision: Supervises PhD students in wind energy-related research, including M. C. Baungaard and others.
• Collaborations: Works with European Union institutions, DTU colleagues, and international researchers on wind farm CFD validation.

Recent publications emphasize RANS-based wake modeling, turbulence intensity adjustments, and wind farm cluster simulations. His methodologies enhance predictive accuracy for wind turbine interactions and energy production efficiency. Paul’s contributions align with UN Sustainable Development Goals for renewable energy development.

He is currently active in conference presentations and scientific supervision, with a focus on improving wind farm simulation tools like PyWake. No explicit scientific awards are mentioned in the provided text.