TY - GEN
T1 - American Multi-modal Energy System
T2 - 1st International Workshop on Open Source Modelling and Simulation of Energy Systems, OSMSES 2022
AU - Thompson, Dakota J.
AU - Farid, Amro M.
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - 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 power grid, the natural gas system, the oil system, and the coal system. Unfortunately, these systems are rarely studied together. Instead, holistic multi-energy system models can serve to improve the understanding of these interdependent 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 structural and behavioral model of the AMES. To that end, this paper uses a GIS-data-driven, model-based systems engineering-guided approach to develop open-source software the produces open structural models of the American Multi-modal Energy Systems. More specifically, it reports and contrasts the hetero-functional incidence tensor, the formal graph adjacency matrix and hetero-functional graph adjacency matrix statistics for the multi-energy infrastructure systems of the states of California and New York. The paper finds that the geography and the sustainable energy policies of these states are deeply reflected in the structure of their multi-energy infrastructure systems.
AB - 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 power grid, the natural gas system, the oil system, and the coal system. Unfortunately, these systems are rarely studied together. Instead, holistic multi-energy system models can serve to improve the understanding of these interdependent 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 structural and behavioral model of the AMES. To that end, this paper uses a GIS-data-driven, model-based systems engineering-guided approach to develop open-source software the produces open structural models of the American Multi-modal Energy Systems. More specifically, it reports and contrasts the hetero-functional incidence tensor, the formal graph adjacency matrix and hetero-functional graph adjacency matrix statistics for the multi-energy infrastructure systems of the states of California and New York. The paper finds that the geography and the sustainable energy policies of these states are deeply reflected in the structure of their multi-energy infrastructure systems.
KW - American Multi-modal Energy System
KW - Hetero-Functional Graph Theory
KW - Model Based Systems Engineering
KW - Sustainability
KW - sustainable energy transition
UR - http://www.scopus.com/inward/record.url?scp=85130471676&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85130471676&partnerID=8YFLogxK
U2 - 10.1109/OSMSES54027.2022.9769107
DO - 10.1109/OSMSES54027.2022.9769107
M3 - Conference contribution
AN - SCOPUS:85130471676
T3 - 1st International Workshop on Open Source Modelling and Simulation of Energy Systems, OSMSES 2022 - Proceedings
BT - 1st International Workshop on Open Source Modelling and Simulation of Energy Systems, OSMSES 2022 - Proceedings
Y2 - 4 April 2022 through 5 April 2022
ER -