A Hetero-functional Graph Structural Analysis of the American Multi-modal Energy System
Dakota J. Thompson, Amro M. Farid

TL;DR
This paper develops a structural analysis of the American multi-modal energy system using hetero-functional graph models, revealing how geography and policies influence infrastructure interdependencies across states.
Contribution
It introduces a novel hetero-functional graph analysis framework for the integrated American energy system, providing detailed structural models and comparative statistics across states.
Findings
State policies influence energy infrastructure structure
Geography impacts interdependence patterns
Structural models reflect regional energy priorities
Abstract
As one of the most pressing challenges of the 21st century, global climate change demands a host of changes across four critical energy infrastructures: the electric grid, the natural gas system, the oil system, and the coal system. Unfortunately, these four systems are often studied individually, and rarely together as integrated systems. Instead, holistic multi-energy system models can serve to improve the understanding of these interdependent systems and guide policies that shape the systems as they evolve into the future. The NSF project entitled "American Multi-Modal Energy System Synthetic \& Simulated Data (AMES-3D)" seeks to fill this void with an open-source, physically-informed, structural and behavioral machine-learning model of the AMES. To that end, this paper uses a GIS-data-driven, model-based system engineering approach to develop structural models of the American…
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Taxonomy
TopicsScientific Research and Discoveries
