intelligent CFD offers services in Computational Fluid Dynamics (CFD) for Wind Engineering and Heat Transfer applications required by architects, civil engineers and project developers of wind farms and solar power plants. To solve such environmental flow problems accurately, I use a high-fidelity CFD-method known as Large-Eddy Simulation (LES) in combination with Synthetic Eddy Methods (SEM) to model turbulence in the Atmospheric Boundary Layer (ABL) and models to account for Radiative Heat Transfer (RHT). Moreover, I use novel AI methods such as Physics-Informed Neural Networks (PINNs) to speed up parameter studies and design optimization.
Services
My services specialize in the following wind engineering applications:
Wind comfort in urban areas
Wind loads on buildings
Wind site assessment
Heating Ventilation and Air Conditioning (HVAC)
Expertise
I have expertise in LES for environmental flows, Synthetic Eddy Methods (SEM) to model turbulence in the ABL, wind data analysis, heat transfer simulations and structural dynamics. Furthermore, I have advanced knowledge in statistics, machine learning and cloud computing.
Physics-Informed Neural Networks (PINNs)
Large-Eddy Simulation (LES)
Synthetic Eddy Methods (SEM)
Wind data analysis
Natural convection
Radiative Heat Transfer (RHT)
About me
I’m Juan Felipe Vásquez Arango, the founder of Intelligent CFD. I studied mechanical engineering at the Berlin University of Technology (TUB) and completed my PhD in Computational Wind Engineering (CWE) at RWTH Aachen University. I teach CFD and Thermodynamics at the Berlin University of Applied Sciences (BHT) and have over 12 years of professional experience at various companies and research institutions. Among others, I worked as a scientist at the German Aerospace Center (DLR) for nine years. Prior to that, I spent three years in the automotive industry working on several research projects involving flow simulation.
Contact
Dr.-Ing. Juan Felipe Vásquez Arango
Email: felipe.vasquez@intelligent-cfd.com
Phone: +49 157 32237987