Next-Gen Synergies Integrating AI-Driven Smart Grids, Fusion and Fission Nuclear Systems, and Green Energy for Zero-Carbon Sustainable Transportation:Advanced Technologies for Energy-Saving Sustainable Transportation Engineering
This article presents a comprehensive framework for advancing sustainable transportation through the integration of nextgeneration energy technologies.It explores the convergence of Vernova green energy, nuclear fission from ARCs (advanced reactor concepts) and SMRs (small modular reactors), and future-focused nuclear fusion methods-MCF (magnetic confinement fusion) and ICF (inertial confinement fusion).Central to this integration is the use of AI (artificial intelligence) to enhance smart grid efficiency, enable real-time optimization, and ensure resilient energy delivery.The synergy between these zero-carbon energy sources and AIdriven infrastructure promises a transformative impact on electric mobility, hydrogen-powered systems, and autonomous transport.By detailing the architecture of an AI-augmented, carbon-neutral transport ecosystem, this paper contributes to the roadmap for future global mobility.
Authors
- Bahman Zohuri (ORCID: https://orcid.org/0000-0002-3605-6650)
Institutions
- United States Department of Transportation (US)
- Golden Gate University (US)
Publication Details
- Journal
- Journal of Energy and Power Engineering
- Published
- 2025-06-28
- DOI
- https://doi.org/10.17265/1934-8975/2025.03.005
- Citations
- 1
- Primary Topic
- Nuclear and radioactivity studies
- Type
- article
- Field-Weighted Citation Impact
- 1.30