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Title: S3 Launches EmPower AI Framework to Address Data Center Energy Infrastructure Challenges

S3 announced the launch of its EmPower AI framework, a comprehensive approach designed to unlock energy reserves from existing commercial buildings to support growing artificial intelligence infrastructure demands. The initiative addresses the increasing energy requirements of AI data centers through advanced building optimization strategies. As artificial intelligence data centers continue to expand across the United States, organizations face the challenge of securing adequate and reliable energy supplies without impacting capacity-constrained electrical grids. The EmPower AI framework presents a systematic approach to harvesting underutilized energy from existing building infrastructure.The framework is detailed in the newly released book "EmPower AI," which outlines methodologies for addressing energy infrastructure challenges facing both public and private sector organizations. With AI systems requiring substantial electricity resources, the framework demonstrates how stable, sustainable power supplies can be developed through building optimization. Independent surveys indicate that commercial buildings over 50,000 square feet consume approximately 1.365 million megawatts of energy nationwide. Industry research suggests that most buildings operate at 10% to 30% below their designed efficiency levels, indicating significant potential for energy recovery.Analysis demonstrates that if 10% of energy usage could be reduced through efficiency improvements in large commercial buildings over 50,000 square feet, it could potentially generate 136,533 megawatts - sufficient to support approximately 1,300 hundred-megawatt AI data centers. This calculation focuses solely on larger commercial buildings and does not include the more than 90% of commercial buildings nationwide tha...

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