Project Team
Students
Ammar Hattab
Mechanical Engineering
Penn State Behrend
Faculty Mentors
Fernando Soto
Penn State Greater Alleghany
College of Engineering
Project
Project Video
Project Abstract
The growing demand for sustainable and clean energy sources highlights hydrogen’s potential as a significant energy carrier. This study investigates the integration of magnesium hydride (MgH2) with boron doped graphene to enhance hydrogen storage efficiency. The primary focus is on optimizing hydrogen desorption kinetics through computational modeling and machine learning techniques. Quantum-mechanical calculations using Quantum Espresso and artificial neural networks in MATLAB are employed to analyze the interactions and identify critical variables influencing hydrogen storage. This includes Density Functional Theory (DFT) calculations and allows us to conduct this research at the atomic level. Through the use of software such as OVITO, BURAI, PuTTY, and VESTA, these atomic level interactions can be visualized to gain a deeper understanding of how they affect each other. The research aims to revolutionize hydrogen storage and delivery systems, particularly for mobile applications, by providing deeper insights into the hydrogen storage mechanisms in MgH2 that’s been affected by boron doped graphene. This study’s findings could significantly contribute to the development of more efficient hybrid energy systems (HES) and support the global transition toward a low-carbon future.
Evaluate this Project
Use this form link to provide feedback to the presenters, and add your project evaluation for award(s) consideration.