Welcome to CEELab!

Our CEELab is dedicated to advancing renewable & alternative energy technologies and accelerating the cleaner & more sustainable energy transition through computational simulations and modeling of multiscale, multiphase, and multiphysics turbulent reacting thermo-fluid systems. We focus on developing and optimizing energy conversion systems that emphasize sustainability and efficiency and decarbonize power generation and aviation, mitigating the net environmental, social, and economic impacts of chemical engineering technologies and processes.  

Through cutting-edge computational modeling research,  high-fidelity numerical simulations and artificial intelligence (AI) for predictive modeling of energy conversion processes, we aim to revolutionize ultra-low emission, fuel-efficient technologies of energy conversion systems such as gas-turbine engines, plasma-assisted combustion, rotating detonation engines (RDE), advanced internal combustion engines (IC engines), shock tubes, and rapid compression machines (RCM). Our research also focuses on nano-based materials for energy storage systems, including hydrogen production via electrolysis, advanced batteries, and high-performance supercapacitors. We leverage high-performance computing (HPC), including massive parallelism, hybrid computing, big data analytics, and machine learning applications, to solve complex energy and combustion challenges.

Our goal is to push the boundaries of clean and renewable energy technologies, contributing to a more sustainable energy future.