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兰德公司:2026不同数据中心站点潜在人工智能用能容量评估报告(中译版)(152页).pdf

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1、ISMAEL ARCINIEGAS RUEDA,AUSTIN SMIDT,ROBIN WANG,HYE MIN PARK,DAVID GILL,HENRI VAN SOESTEvaluating Potential Artificial Intelligence Energy Capacity at Different Data Center SitesResearch ReportFor more information on this publication,visit www.rand.org/t/RRA3845-3.About RANDRAND is a research organi

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1. **研究背景**:AI数据中心需求激增导致美国电网面临挑战,需评估2030年前AI数据中心的能源容量及选址潜力。 2. **评估框架**:基于能源供应、能源系统、支持性输入、环境及治理五大维度,对22个潜在站点(含17个DOE站点、2个私营站点及3个退役电厂)进行分级(A-E)。 3. **核心发现**: - **高潜力站点**:Stargate项目、Pantex工厂、堪萨斯城国家安全园区、Rockport电厂(潜在容量达4.2吉瓦,为单站点最高值)。 - **关键瓶颈**:电网扩建滞后(如输配电基础设施许可周期长),依赖现有设施更可行。 4. **建议**:政府应针对性投资改善基础设施(如升级电网、加速审批),并加强社区参与以减少阻力。
AI能源瓶颈何在? 数据中心选址关键? 2030电力够用吗?
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