Regression Model Development for Parametric Analysis of Graphene Based Hydrogen Storage

In Canada, the transportation sector accounts for 25% of all emissions. Hydrogen fueled vehicles is one option that has a great potential to reduce Canadian and global CO2 fuel emissions. This research project investigates production parameters that influence hydrogen storage capacity in storage materials in order to optimize the production process and increase the hydrogen gas storage capacity of current materials. Hydrogen fuel and its associated solid state fuel production will help ensure a made in Canada clean energy transition for decarbonization in the transportation sector, combatting climate change and ensuring a green future for the planet.

Faculty Supervisor:

Onita Basu

Student:

Partner:

Hydrogen in Motion

Discipline:

Engineering

Sector:

Manufacturing; Professional, scientific and technical services

University:

Carleton University

Program: