Katie Biegel

PhD Candidate, Graduate Researcher at Argonne National Laboratory

kebiegel@wisc.edu

Building 208
9700 S. Cass Ave
Lemont, IL 60439

I’m using and developing new features for the Argonne Low-Carbon Energy Framework (A-LEAF) software tool. A-LEAF is an optimization-based tool which finds global least-cost solutions to unit commitment, economic dispatch, and capacity expansion.
Developing agent-based modeling capabilities for A-LEAF, in order to realistically simulate the capital investment choices of agents operating with limited local information and acting to maximize local benefits, using real-options valuation and portfolio optimization. Capabilities will help to characterize the economic and technical performance parameters required for advanced reactors to be viable commercial products.
Assessing economic impact of increased electric vehicle deployments and varied charging patterns on the economic viability of nuclear power
Modeling economic impact of minute- and hour-scale load-following capabilities for nuclear reactors in an ERCOT-like electricity market system

University of Wisconsin - Madison, PhD candidate in Nuclear Engineering & Engineering Physics (2017-current)
Manager, PowerAdvocate Client Services (energy consulting group) (2015-2017)
Massachusetts Institute of Technology, BS in Nuclear Science and Engineering (2015)