AI data centers are expanding faster than the power infrastructure needed to support them, creating growing challenges around grid availability, reliability and sustainability.
Rehlko’s A Structured Transition Model for AI Data Center Power presents a framework for navigating these competing priorities without locking facilities into a single power strategy.
The whitepaper explores how data center operators can establish reliable power capacity today while preserving the flexibility to integrate grid power, lower-carbon fuels and other decarbonization technologies over time. It examines the role of phased and overlapping energy strategies, with a focus on maintaining reliability while progressively reducing carbon intensity.
The model considers the full lifecycle of data center infrastructure, including reliability, carbon intensity, cooling electricity demand and asset lifetime value, helping operators assess power decisions against both immediate requirements and future market, policy and grid conditions.
Download to explore how a structured, adaptable power strategy can support AI growth while keeping future decarbonization options open.
