Data Center PUE Calculation with Shared Resource Modeling

The patent segments the data center into multiple rooms and identifies shared resources (cooling, power distribution) that serve multiple rooms. By dividing the facility into discrete spatial units and tracking resource allocation at the room level, the system achieves precise PUE calculations for each room while accounting for shared infrastructure consumption.

The patent introduces a computational model as an intermediary layer between physical infrastructure and measurement. This model represents shared resources and their consumption across rooms, enabling accurate attribution of energy usage without requiring direct physical measurement at every point.

The system implements feedback by continuously monitoring shared resource consumption and using this information to optimize power usage. The computational model provides visibility into how shared resources are consumed across rooms, enabling data center operators to make informed decisions that reduce energy waste.

The computational model serves multiple functions: it tracks power consumption, cooling usage, and other shared resources across multiple rooms simultaneously. This multi-functional approach enables comprehensive energy optimization without proportionally increasing system complexity.

The computational model acts as an intermediary that aggregates and processes measurement data from multiple sources. Rather than requiring direct measurement of every shared resource consumption point, the model synthesizes information from available measurements to derive accurate efficiency metrics for each room.

The patent creates a virtual copy of the physical data center infrastructure through the computational model. This digital representation mirrors the physical shared resources and their consumption patterns, enabling precise measurement and analysis without the complexity of direct physical measurement at every point.