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Generative AI impact assessment through a life cycle analysis of multiple data center typologies

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Listed:
  • d'Orgeval, Alexandre
  • Sheehan, Stuart
  • Avenas, Quentin
  • Assoumou, Edi
  • Sessa, Valentina

Abstract

Data centers are energy-intensive infrastructures that generate, manage, and store information for our interconnected society. Models based on Artificial Intelligence (AI), such as ChatGPT, are increasingly accessible, leading to significant energy consumption and associated carbon emissions.

Suggested Citation

  • d'Orgeval, Alexandre & Sheehan, Stuart & Avenas, Quentin & Assoumou, Edi & Sessa, Valentina, 2026. "Generative AI impact assessment through a life cycle analysis of multiple data center typologies," Applied Energy, Elsevier, vol. 406(C).
  • Handle: RePEc:eee:appene:v:406:y:2026:i:c:s0306261925020185
    DOI: 10.1016/j.apenergy.2025.127288
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    References listed on IDEAS

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    1. Siamak Kheybari & Mansoor Davoodi Monfared & Hadis Farazmand & Jafar Rezaei, 2020. "Sustainable Location Selection of Data Centers: Developing a Multi-Criteria Set-Covering Decision-Making Methodology," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 19(03), pages 741-773, May.
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