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Explore Research
Curriculum Vitae
/ COMPUTATIONAL WORK

Simulating Atmospheric Flows

High-fidelity numerical models and data pipelines analyzing the aerodynamic interaction between utility-scale solar arrays and the atmospheric boundary layer to optimize clean energy yield.

High-contrast CFD simulation of wind flowing over a tilted solar panel array, showing turbulent vortex shedding and velocity streamlines in cool blue and orange contours.
High-contrast CFD simulation of wind flowing over a tilted solar panel array, showing turbulent vortex shedding and velocity streamlines in cool blue and orange contours.
Clean data visualization plot showing wind velocity profiles against height, with empirical data points fitted to a logarithmic boundary layer curve.
Clean data visualization plot showing wind velocity profiles against height, with empirical data points fitted to a logarithmic boundary layer curve.
Finite element mesh of a photovoltaic module showing temperature distribution under convective cooling, highlighting thermal gradients.
Finite element mesh of a photovoltaic module showing temperature distribution under convective cooling, highlighting thermal gradients.
SELECTED WORKS

Numerical Models

Three core computational initiatives addressing turbulence modeling, large-scale data ingestion, and thermal-fluid coupling in solar energy systems under real-world atmospheric conditions.

Turbulence Modeling

Data Ingestion Pipeline

Thermal-Fluid Coupling

Numerical solvers investigating how convective heat transfer coefficients vary across solar panels, optimizing thermal performance under diverse atmospheric boundary layer conditions.

Large-Eddy Simulations resolving micro-scale wind patterns, structural wind loads, and wake interactions within multi-row utility-scale solar installations across complex terrains.

An open-source Python framework designed to parse, clean, and analyze high-frequency sonic anemometer data collected from active field research campaigns.

Explore Publications
TECHNICAL STACK

Core Technologies

Computational Toolchain

The research utilizes high-performance computing clusters to run open-source CFD solvers and custom data analysis pipelines, ensuring fully reproducible scientific workflows for peer-reviewed publication.

• OpenFOAM & ANSYS Fluent (CFD) • Python (NumPy, SciPy, Pandas) • High-Performance Computing (SLURM) • Git & Open-Source Version Control