Coordinate power supply, storage, backup power and cooling to optimize energy operations within critical reliability requirements.
Designed for artificial intelligence data centers, our integrated energy solution brings electrical distribution, energy storage, backup generation and cooling into a coordinated management framework. It explores how local energy resources can work with data center loads to support resilience, energy efficiency and capacity planning. Microgrid and storage configurations must be tailored to each facility's load characteristics and supply conditions.
Business continuity comes first. The proposed approach analyzes IT demand, cooling requirements, equipment status and energy prices to optimize eligible resources—without compromising power reliability or required backup reserves.
Monitor electrical infrastructure, storage, backup power and cooling assets to inform coordinated operating strategies.
Use IT demand, historical consumption, weather data and growth plans to forecast electrical and cooling needs and inform phased expansion.
Analyze interactions between electrical demand and cooling operation to identify improvements within thermal, reliability and equipment constraints.
Consolidate IT energy, total facility energy, cooling consumption and energy-source data to support PUE analysis and carbon accounting inputs.
Reliability requirements embedded in operating strategies.
Better coordination across power, backup, storage and cooling systems.
Greater visibility into energy and cost optimization opportunities.
More informed alignment between computing growth and energy capacity.
AI data centers, AI computing campuses, large data center facilities, and energy-system upgrades for existing sites.