Learn how UPS and BTM BESS architectures differ, how they work together, and how each supports resilience, flexibility, and AI power smoothing.
As large data centers exceed 50 MW and become more tightly coupled to grid constraints, energy storage is becoming a more important design consideration. Two technologies are often discussed together: double-conversion online uninterruptible power supply (UPS) systems and behind-the-meter battery energy storage systems (BESS).
Both use batteries and power conversion, but they serve different roles. A UPS protects critical loads with conditioned, no-break power, while a conventional behind-the-meter (BTM) BESS supports site-level energy management, flexibility, and longer-duration reserve energy.
This white paper explains the architectural differences between standard UPS and BESS implementations, where their roles overlap, and how they work together to support resilience, grid responsiveness, and AI power smoothing.
Inside, data center operators can understand:
- The key architectural difference: How series vs. parallel connection shapes power flow, response, and protection capability.
- Where each technology fits: UPS for critical-load protection and power conditioning; BESS for site-level energy management, peak shaving, and grid services.
- How AI workloads change the equation: Why synchronized graphics processing unit (GPU) cluster power swings require coordinated mitigation across multiple power-system levels.
- Practical next steps: Guidance for interconnection planning, simulation, and integrated architecture design.
Why this matters now
Grid constraints, interconnection requirements, and AI-driven load variability are changing how large data center power systems are planned. Operators that understand where UPS and BESS responsibilities differ and how the two can work together will be better positioned to improve resilience, manage energy more flexibly, and support increasingly dynamic AI workloads.
Download the white paper now to get the clarity to make smarter power architecture decisions for the AI era.