Power Compute Effectiveness (PCE): Definition and Framework for Data Center Electrical Capacity Allocation

The rapid growth of high-density computing workloads, particularly artificial intelligence infrastructure, has increased pressure on electrical grid capacity supporting data centers. In many regions, the primary constraint on new computing deployment is no longer floor space or server density but the amount of electrical capacity provisioned to the facility by the local utility grid. Traditional metrics such as Power Usage Effectiveness (PUE) evaluate operational energy efficiency but do not address how provisioned electrical capacity is structurally allocated within a facility. Power Compute Effectiveness (PCE) is introduced as a structural infrastructure metric that quantifies the proportion of provisioned facility electrical capacity that can be sustainably allocated to IT compute load under a declared redundancy configuration. PCE evaluates infrastructure capacity allocation using provisioned electrical design values rather than operational energy consumption. This framework enables transparent evaluation of infrastructure improvements that increase deployable compute capacity without increasing utility interconnection capacity.This document provides the foundational definition of the Power Compute Effectiveness (PCE) metric for data center electrical capacity allocation.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-12
DOI
https://doi.org/10.5281/zenodo.18986110
Primary Topic
Cloud Computing and Resource Management
Type
article
Field-Weighted Citation Impact
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article

Power Compute Effectiveness (PCE): Definition and Framework for Data Center Electrical Capacity Allocation

Yunshui Chen, P. E. Quigley, Jacob Roberts
Zenodo (CERN European Organization for Nuclear Research)
Cloud Computing and Resource Management
article

Power Compute Effectiveness (PCE): Definition and Framework for Data Center Electrical Capacity Allocation

Yunshui Chen, P. E. Quigley, Jacob Roberts
article en

Abstract

The rapid growth of high-density computing workloads, particularly artificial intelligence infrastructure, has increased pressure on electrical grid capacity supporting data centers. In many regions, the primary constraint on new computing deployment is no longer floor space or server density but the amount of electrical capacity provisioned to the facility by the local utility grid. Traditional metrics such as Power Usage Effectiveness (PUE) evaluate operational energy efficiency but do not address how provisioned electrical capacity is structurally allocated within a facility. Power Compute Effectiveness (PCE) is introduced as a structural infrastructure metric that quantifies the proportion of provisioned facility electrical capacity that can be sustainably allocated to IT compute load under a declared redundancy configuration. PCE evaluates infrastructure capacity allocation using provisioned electrical design values rather than operational energy consumption. This framework enables transparent evaluation of infrastructure improvements that increase deployable compute capacity without increasing utility interconnection capacity.This document provides the foundational definition of the Power Compute Effectiveness (PCE) metric for data center electrical capacity allocation.

Zenodo (CERN European Organization for Nuclear Research)
Airbus (India) (IN)
Industry, innovation and infrastructure
Openalex Percentile: Top 44%
Cloud Computing and Resource Management
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