The American Multi-Modal Energy System: Model Development with Structural and Behavioral Analysis using Hetero-functional Graph Theory

Enthusiasm for Green Energy Varies

Department of Civil, Environmental and Ocean Engineering

Location: ABS 301 (w/ virtual option)

Speaker: Dakota J. Thompson, PhD, Dartmouth College


With global climate change demanding a host of changes across at least four critical energy infrastructures: the electric grid, the natural gas system, the oil system, and the coal system, it is imperative to study models of these infrastructures to guide future policies and infrastructure developments. This work integrates the aforementioned energy infrastructures within the United States of America into a singular system-of-systems called the American Multi-modal Energy System (AMES). A structural and behavioral model of the AMES is developed using Hetero-functional Graph Theory (HFGT) in the following steps. First, the analytical insights that HFGs can provide relative to formal graphs are investigated through structural analysis of the American Electric Power System. Second, a reference architecture of AMES is developed providing a standardized foundation to develop future models. Third, the AMES reference architecture is instantiated to investigate its structural properties. Finally, a physically informed Weighted Least Squares Error Hetero-functional Graph State Estimation (WLSEHFGSE) analysis of AMES' socio-economic behavior is implemented to investigate it’s behavior with asset level granularity. These steps provide a reproducible and reusable structural and behavioral model of AMES for guiding future policies and infrastructural developments to the critical energy infrastructures.

Zoom Link:


Head shot of Dakota J. Thompson, smiling

Dr. Dakota J. Thompson completed his Doctorate of Philosophy in Engineering Science at Thayer School of Engineering at Dartmouth College in the summer of 2023. Prior to completing his Ph.D., Thompson completed his Bachelor of the Arts degree at Colby College majoring in Physics and minoring in computer science. His graduate research focused in Systems Engineering utilizing Model-based Systems Engineering and Hetero-functional Graph Theory to model energy systems. As a part of the “American Multi-modal Energy System Synthetic and Simulated Data (AMES-3D)” project, he has produced literature on the structural statistics, structural resilience, and behavioral analysis of the AMES using Hetero-functional Graph Theory.

To view the full list of seminar speakers for the Fall 2023 semester, visit the CEOE Seminars page.