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Implications of AI and Data Center Service Demand on Energy, Water, and Economic Systems

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DataCite Commons2025-10-23 更新2026-04-25 收录
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https://www.osti.gov/servlets/purl/2998851
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资源简介:
This talk focuses on the challenges posed by the rapid growth of data centers (DCs), which rely heavily on electricity, water, land, and mineral resources, and have significant interactions with economic growth. The U.S. leads in DC deployment, but understanding how resource demands and constraints impact DC expansion requires strategic multisector analysis. To address this, the talk introduces a new conceptual framework and modeling capability within GCAM-USA, allowing integrated analysis of DC service demand, electricity, and direct and indirect water needs under varied scenarios. Insights include state-level water and electricity trends for DCs, uncertainty bounds, and the broader implications for resources and economics.
提供机构:
Pacific Northwest National Lab (United States)
创建时间:
2025-10-23
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