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.

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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
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article

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

Bahman Zohuri
1 citations
Journal of Energy and Power Engineering
Nuclear and radioactivity studies
1.30
article

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

Bahman Zohuri
article en
1 citations

Abstract

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.

Journal of Energy and Power EngineeringVol. 19(3)
United States Department of Transportation (US), Golden Gate University (US)
Industry, innovation and infrastructure, Responsible consumption and production
Openalex Percentile: Top 19%
Nuclear and radioactivity studies
1.30
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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 — Bahman Zohuri · Journal of Energy and Power Engineering (2025) | TGRS Research Map | TGRS