Increase in Demand for Electricity Due to Rapid Increase in Data Centers to Support AI and Role of V2G in Supporting this Growth

Purpose: The rapid proliferation of artificial intelligence (AI) technologies has led to unprecedented growth in data center infrastructure, significantly increasing global electricity demand. This study examines how Vehicle-to-Grid (V2G) technology can mitigate the energy challenges associated with AI-driven data center expansion. Methodology: This paper employs a literature review of technological advancements, policy frameworks, and case studies to explore the interplay between AI-driven data center growth, electricity consumption, and the potential of V2G technology. Strategic insights are drawn to evaluate V2G’s role in energy management and grid stabilization. Findings: V2G technology provides a promising solution for peak demand management, renewable energy integration, and grid stabilization by leveraging electric vehicles as mobile energy storage units. Key findings highlight V2G's capacity to support sustainable energy practices in data centers, with examples from real-world implementations. Unique Contribution to Theory, Policy, and Practice: This paper contributes to the understanding of V2G’s transformative potential in addressing energy challenges posed by AI-driven data center expansion. It emphasizes the need for collaborative efforts in technological development, policy-making, and adoption strategies to build a resilient, sustainable infrastructure for the future.

Authors

Publication Details

Journal
International Journal of Computing and Engineering
Published
2024-12-31
DOI
https://doi.org/10.47941/ijce.2431
Citations
1
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
0.35
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article

Increase in Demand for Electricity Due to Rapid Increase in Data Centers to Support AI and Role of V2G in Supporting this Growth

Pawan Kumar
1 citations
International Journal of Computing and Engineering
IoT and Edge/Fog Computing
0.35
article

Increase in Demand for Electricity Due to Rapid Increase in Data Centers to Support AI and Role of V2G in Supporting this Growth

Pawan Kumar
article en
1 citations

Abstract

Purpose: The rapid proliferation of artificial intelligence (AI) technologies has led to unprecedented growth in data center infrastructure, significantly increasing global electricity demand. This study examines how Vehicle-to-Grid (V2G) technology can mitigate the energy challenges associated with AI-driven data center expansion. Methodology: This paper employs a literature review of technological advancements, policy frameworks, and case studies to explore the interplay between AI-driven data center growth, electricity consumption, and the potential of V2G technology. Strategic insights are drawn to evaluate V2G’s role in energy management and grid stabilization. Findings: V2G technology provides a promising solution for peak demand management, renewable energy integration, and grid stabilization by leveraging electric vehicles as mobile energy storage units. Key findings highlight V2G's capacity to support sustainable energy practices in data centers, with examples from real-world implementations. Unique Contribution to Theory, Policy, and Practice: This paper contributes to the understanding of V2G’s transformative potential in addressing energy challenges posed by AI-driven data center expansion. It emphasizes the need for collaborative efforts in technological development, policy-making, and adoption strategies to build a resilient, sustainable infrastructure for the future.

International Journal of Computing and EngineeringVol. 6(7)
Industry, innovation and infrastructure
Openalex Percentile: Top 35%
IoT and Edge/Fog Computing
0.35
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