Impacts of Construction Timelines on Generation Availability

Michael Lavillotti
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Abstract

The rapid growth of digital infrastructure, driven by increasing demands for artificial intelligence (AI) and machine learning (ML) capabilities, has fueled an unprecedented need for data centers. Data centers are expected to consume up to 12 percent of total US electricity by 2028 with their expected electricity usage climbing between 325 and 580 terawatt hours (TWh) in the next four years, representing a growth rate between 13 percent and 27 percent. These facilities form the backbone of modern computing and cloud services, consuming large amounts of energy, often necessitating the construction of power plants and electric grid infrastructure to meet their needs. As data centers scale to capacities of 100 megawatts (MW) or more, their construction timelines and complexities increasingly resemble those of power plants designed to supply similar energy levels.

施工时间表对发电可用性的影响
在人工智能(AI)和机器学习(ML)功能需求不断增长的推动下,数字基础设施的快速增长推动了对数据中心的前所未有的需求。到2028年,数据中心的用电量预计将占美国总用电量的12%,在未来四年,数据中心的用电量预计将在325至580太瓦时(TWh)之间攀升,增长率在13%至27%之间。这些设施构成了现代计算和云服务的支柱,消耗大量能源,通常需要建设发电厂和电网基础设施来满足其需求。随着数据中心的容量扩展到100兆瓦(MW)或更多,它们的建设时间表和复杂性越来越类似于旨在提供类似能量水平的发电厂。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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