2024 AIChE Annual Meeting
(98e) The Energy and Materials Transition Nexus– Multiscale Modeling and Optimization
Authors
In this work, we propose a multiscale modeling and optimization decision-making framework capable of coordinating the energy and materials nexus. Based on a mixed integer optimization formulation, the framework involves various key aspects, including (i) an integrated resource-task-material-network design and scheduling model to simultaneously account for material and energy requirements for the material and energy transition supply chains, and (ii) tracking of disparate emissions originated from both materials and energy systems components. A case study focusing on a mobility transition scenario in Texas towards electric vehicles (EVs) is used to illustrate the key features and capabilities of the proposed framework, including: (i) carbon value vector utilization to produce polymeric materials, (ii) sustainable production of hydrogen [2], (iii) power generation through intermittent renewables with storage considerations, and (iv) establishing grid infrastructure for charging the EVs. The study, implemented in energiapy [3], reveals intricate interconnections between energy supply, materials production, and vehicle production, emphasizing the importance of an integrated energy-materials-mobility nexus approach.
References
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[2] C. R. Allen, S. G. Baratsas, R. kakodkar, S. Avraamidou, C. D. Demirhan, C. F. Heuberger-Austin, M. Klokken-
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[3] R. Kakodkar, E. Pistikopoulos, Energiapy-an open source python package for multiscale modeling & optimization
of energy systems, in: 2023 AIChE Annual Meeting, AIChE, 2023.