Strategic Infrastructure for the AI Age Energy Sovereignty through AI-Aligned Clean Energy Hubs

Title: Strategic Infrastructure for the AI Age: Energy Sovereignty through AI-Aligned Clean Energy Hubs Author: Vrushabhraj TanawadeAffiliation: MountBay Energy LLC, MCRD Lab, Johns Hopkins University, Virginia Tech, Hult International Business School Keywords: Energy Sovereignty; Artificial Intelligence (AI) Infrastructure; Clean Energy Hubs; Renewable Energy Planning; AI Workload Forecasting; Digital Sovereignty; Geopolitical Resilience This work introduces a holistic and transdisciplinary approach that couples AI infrastructure planning and clean energy systems in the pursuit of Energy Sovereignty of AI. As AI-powered energy demand soars worldwide, the manuscript reflects on an urgent question: how can countries exercise sovereign, climate-determined control over which sources power AI? The paper uses geospatial analytics, artificial intelligence (AI)-based energy forecasting and ecological impact mapping and multi-criteria optimization to represent fundable and scalable solutions. Regional case studies in the United States and comparative international perspectives on Germany, India and China back it up. It does thus conceptually and practically contribute to ongoing discussions of energy policy, infrastructure planning, climate resilience, and digital sovereignty.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-02-15
DOI
https://doi.org/10.5281/zenodo.15718977
Primary Topic
Global Energy Security and Policy
Type
article
Field-Weighted Citation Impact
0.00
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article

Strategic Infrastructure for the AI Age Energy Sovereignty through AI-Aligned Clean Energy Hubs

Zenodo (CERN European Organization for Nuclear Research)
Global Energy Security and Policy
article

Strategic Infrastructure for the AI Age Energy Sovereignty through AI-Aligned Clean Energy Hubs

article en

Abstract

Title: Strategic Infrastructure for the AI Age: Energy Sovereignty through AI-Aligned Clean Energy Hubs Author: Vrushabhraj TanawadeAffiliation: MountBay Energy LLC, MCRD Lab, Johns Hopkins University, Virginia Tech, Hult International Business School Keywords: Energy Sovereignty; Artificial Intelligence (AI) Infrastructure; Clean Energy Hubs; Renewable Energy Planning; AI Workload Forecasting; Digital Sovereignty; Geopolitical Resilience This work introduces a holistic and transdisciplinary approach that couples AI infrastructure planning and clean energy systems in the pursuit of Energy Sovereignty of AI. As AI-powered energy demand soars worldwide, the manuscript reflects on an urgent question: how can countries exercise sovereign, climate-determined control over which sources power AI? The paper uses geospatial analytics, artificial intelligence (AI)-based energy forecasting and ecological impact mapping and multi-criteria optimization to represent fundable and scalable solutions. Regional case studies in the United States and comparative international perspectives on Germany, India and China back it up. It does thus conceptually and practically contribute to ongoing discussions of energy policy, infrastructure planning, climate resilience, and digital sovereignty.

Zenodo (CERN European Organization for Nuclear Research)
Johns Hopkins University (US), Medical Care Development (US), Mount Medical Centre (AU), Virginia Tech (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 43%
Global Energy Security and Policy
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