Adrián Silva Caballero

PhD student at Department of Earth Sciences; Wind Energy

Telephone:
+46 18 471 84 37
E-mail:
adrian.silva_caballero@geo.uu.se
Visiting address:
Campus Gotland, Cramérgatan 3
62157 Visby
Postal address:
Uppsala universitet, Campus Gotland
62167 Visby

Short presentation

I am a Renewable Energy Engineer, with a Master’s degree in Renewable Energy in the Marine Environment. I am an Industrial PhD Candidate part of the European Industrial Doctoral Network of Atmospheric Physics and Turbulence for Wind Energy (AptWind)*. Alongside with Enercon, I am working on wind flow dynamics under extreme situations in complex terrains, focused in understanding the underlying aerodynamics and meteorological phenomena for industrial best practices.

Keywords

  • cfd
  • machine learning
  • wind flow dynamics
  • extreme situations
  • complex terrains
  • dimensionality reduction
  • les
  • turbulent flows
  • onshore wind

Research

This research proposes conducting Computational Fluid Dynamics (CFD) simulations, in particular Large Eddy Simulations (LES) to predict and understand turbulent flows over intricate terrains and their interaction with the atmospheric boundary layer.

Emphasis will be placed to develop modelling techniques to capture the most relevant physics to numerically reproduce wind flows aiming at reducing the number of CFD runs, where machine learning, statistical analysis and LES hold the potential for dimensionality reduction, and consequently the heavy computational costs associated with such simulations.

*Funded by the European Union Horizon Europe MSCA Doctoral (HORIZON-MSCA-2022-DN-01-01) Grant Agreement No. 101119550

Adrián Silva Caballero

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