Project Info
Study on Hydrogen Storage in Subsurface Systems
Serveh Kamrava
kamraav@mines.edu
Project Goals and Description:
Storing hydrogen (H2) on a large scale presents an opportunity to transition towards a more environmentally friendly society. Utilizing established depleted reservoirs for storage offers numerous advantages. Nonetheless, there remain unresolved research inquiries concerning the movement and potential loss of H2 that require investigation. This project employs molecular dynamics (MD) simulations to analyze the interfacial tension between H2 and various coexisting fluids (with varying ratios of cushion gas) under different pressure and temperature conditions. Through MD simulations, we aim to enhance our comprehension of how microscopic interactions impact macroscopic behaviors, ultimately promoting efficient and secure underground storage of H2 on a large scale. Machine learning algorithms will also be applied for large-scale data set study.
More Information:
Grand Challenge: Develop carbon sequestration methods.
https://doi.org/10.1016/j.advwatres.2022.104221
https://doi.org/10.1021/acs.jced.2c00707
https://doi.org/10.1016/j.fuel.2021.122039
Primary Contacts:
Serveh Kamrava, kamrava@mines.edu
Student Preparation
Qualifications
Willing to learn Molecular Dynamics simulation
Python Programming
Machine Learning
TIME COMMITMENT (HRS/WK)
4
SKILLS/TECHNIQUES GAINED
Molecular Dynamics simulation
Python Programming
Machine Learning
Safe Methods for carbon and hydrogen storage in subsurface systems
MENTORING PLAN
weekly meetings where students will present their research findings and share their simulation and code results.
The results will be discussed and a plan of research for next coming week will be made.
Preferred Student Status
Junior
Senior