In Hot Water: Challenges with Measuring Data Center Water Usage

With the development of emerging technologies, data centers have emerged as critical yet resource-intensive facilities. While much scholarship has focused on their growing energy demands, far less attention has been given to their water consumption—despite its escalating scale and concentration in water-stressed regions. This article examines the challenges of measuring data center water usage by focusing on Water Usage Effectiveness (WUE), the industry’s primary water efficiency metric. We trace the development of WUE, evaluate its widespread use in industry reporting, and identify three major limitations: its dependence on IT energy consumption as a denominator, its seasonal variability, and its failure to account for water type and geographic context. We argue that while WUE provides value for internal benchmarking, its application as a regulatory instrument risks underestimating true water impacts and misdirecting policy. We conclude that policymakers should adopt a set of holistic water usage metrics to effectively analyze and reduce the impact of data center water demands.

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Publication Details

Journal
Stanford OJS Journals
Published
2025-08-31
DOI
https://doi.org/10.60690/bqpqk141
Primary Topic
Green IT and Sustainability
Type
article
Field-Weighted Citation Impact
0.00
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article

In Hot Water: Challenges with Measuring Data Center Water Usage

Michael Brand, Sabrina To
Stanford OJS Journals
Green IT and Sustainability
article

In Hot Water: Challenges with Measuring Data Center Water Usage

Michael Brand, Sabrina To
article en

Abstract

With the development of emerging technologies, data centers have emerged as critical yet resource-intensive facilities. While much scholarship has focused on their growing energy demands, far less attention has been given to their water consumption—despite its escalating scale and concentration in water-stressed regions. This article examines the challenges of measuring data center water usage by focusing on Water Usage Effectiveness (WUE), the industry’s primary water efficiency metric. We trace the development of WUE, evaluate its widespread use in industry reporting, and identify three major limitations: its dependence on IT energy consumption as a denominator, its seasonal variability, and its failure to account for water type and geographic context. We argue that while WUE provides value for internal benchmarking, its application as a regulatory instrument risks underestimating true water impacts and misdirecting policy. We conclude that policymakers should adopt a set of holistic water usage metrics to effectively analyze and reduce the impact of data center water demands.

Stanford OJS Journals
Berkeley College (US), University of California, Berkeley (US)
Openalex Percentile: Top 34%
Green IT and Sustainability
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