Biography
Odin Foldvik Eikeland is a visiting Ph.D. student at the ASE lab at MIT. He is from Norway where he pursues his Ph.D. in renewable energy and machine learning at UiT-the Arctic University of Norway. His research topics are renewable energy and energy storage, time-series predictions, power grid fault detection using machine learning, and power system optimization.
At MIT his work is connected to the Thermal Energy Grid Storage (TEGS) technology that is being developed at the ASE lab. He uses power system optimization tools to analyze how emerging storage technologies such as TEGS can play a role in electric grids to enable full decarbonization of future power systems.
Odin Foldvik Eikeland received his M.S./civil engineering degree in Energy, Climate, and Environment from UiT in 2019, where his research was focused on solar energy applications. In addition to academic research, he works as a part-time senior consultant in a utility company focusing on developing new concepts to integrate more renewable energy technologies into the Norwegian electricity market.