Research
Background
There are two ways we can reduce emissions from the energy sector: by replacing fossil fuels with clean fuels like hydrogen, and by capturing the emissions from fossil fuel combustion. For these applications, gas storage is an important issue. Hydrogen used as fuel needs to be stored in a compact manner, and carbon dioxide capture requires the separation and purification of carbon dioxide from mixtures with low CO2 concentration (<15%) .
The Research Problem
Current gas storage solutions suffer from certain issues which hinders the deployment of clean energy technologies. For example, hydrogen storage requires high pressures of up to 70 MPa, while conventional carbon dioxide capture plants still use liquid amines which incur large energy costs.
My Work
I synthesize and optimize porous carbon materials which are cheap, scalable, and are capable of storing large amounts of gases while avoiding the pitfalls of other storage solutions. They can store gases at a lower pressure and can desorb gases without needing a lot of energy. Recently, I have also used machine learning and applied statistical techniques to understand and control the properties of these materials.