Whitepaper: Microgrids for AI Data Centers

As AI-driven power demands outpace grid capacity, data center operators face a critical infrastructure decision. This whitepaper by Clarke Energy's Justin Lenoff sets out the options, and the trade-offs.

• AI workloads are breaking traditional power models — unlike conventional IT loads, HPC and AI workloads introduce extreme power volatility that legacy data center infrastructure wasn't designed to handle
• Grid capacity is running out — operators are increasingly turning to on-site natural gas generation as a medium- to long-term bridge solution while grid connections remain scarce
• A new operating model is emerging — data centers are becoming both generators and consumers of energy, fundamentally reshaping how mission-critical power systems must be designed
• Reliability targets remain non-negotiable — the central challenge is sustaining 99.99% to 99.999% uptime while self-generating power for AI-driven loads
• Two storage technologies go head-to-head — this paper compares lithium ion battery storage against graphene supercapacitor storage, alongside grid-forming inverter strategies, to identify the optimal approach for volatile AI loads