Dr. Bri-Mathias Hodge is an Associate Professor in the Department of Electrical, Computer and Energy Engineering and an Associate Director and Fellow of the Renewable and Sustainable Energy Institute (RASEI) at the University of Colorado Boulder. He is also a Chief Scientist and a Distinguished Member of the Research Staff in the Power Systems Design & Planning Group at the National Renewable Energy Laboratory (NREL). His research focuses on the modeling and simulation of power and energy systems, with an emphasis on the operational and planning challenges posed by the integration of renewable energy sources, such as wind and solar power. He is an author on over 100 journal articles in this area and has received five best paper awards at the IEEE Power & Energy Society General Meeting. At NREL he has received Outstanding Mentor Awards on five occasions, the NREL President’s Award in 2016, the NREL Outstanding Performance Award and Director's Publication Impact Award in 2019, and the NREL Chairman's Award in 2020. Dr. Hodge also received a Fulbright Fellowship in 2016 for a sabbatical at VTT in Finland.
Bri's Recent RASEI Activities
Closing the Loop: Unexamined Performance Trade-Offs of Integrating Direct Air Capture with (Bi)carbonate Electrolysis
ACS ENERGY LETTERS, 2024, 9, 2472-2483 Read more
Power system operational impacts of electric vehicle dynamic wireless charging
APPLIED ENERGY, 2024, 364, 123002 Read more
Introduction to the Special Section on Control and Management of Electric Power Systems With High Shares of Inverter-Based Resources
IEEE SYSTEMS JOURNAL, 2023, 17, 4, 5066-5069 Read more
Analyses of the Opportunities and Barriers associated with Electrochemical-Driven Decarbonization
RASEI Fellows Bri-Mathias Hodge and Wilson Smith has been part of a series of collaborative studies that have explored the use of electrochemical carbon reduction. Read more
Evaluating the techno-economic potential of defossilized air-to-syngas pathways
ENERGY & ENVIRONMENTAL SCIENCE, 2023, 16, 6127-6146 Read more
Parameterized Linear Power Flow for High Fidelity Voltage Solutions in Distribution Systems
IEEE TRANSACTIONS ON POWER SYSTEMS, 2023, 4391-4403 Read more
Machine learning for modern power distribution systems: Progress and perspectives
JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY, 2023, 15, 3, 032301 Read more
Barriers and opportunities for the deployment of CO2 electrolysis in net-zero emissions energy systems
JOULE, 2023, 7, 6, 1111-1133 Read more