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Guide: Improving data center cooling efficiency through accurate measurement

Brief

Vaisala’s sponsored guide, highlighted by Data Center Dynamics on January 29, 2026, frames measurement accuracy as a practical efficiency constraint in data center cooling. The central claim is that imprecise temperature and humidity sensing can distort control loops enough to drive overcooling, especially in high-density facilities, where cooling may consume up to 40% of site energy and a 1°C error can materially raise cost and emissions.

Cleaned source text

title: Guide: Improving data center cooling efficiency through accurate measurement

author: DCD Data Center Cooling

content_type: newsletter

publication: datacenterdynamics.com

published: 2026-01-29T03:15:59-06:00

source_url: gmail://19c0909cc84568ac

word_count: 314

Cut data center cooling costs and carbon emissions with high-accuracy measurements Read here

Up to 40% of a data center’s total energy consumption is driven by cooling, yet many facilities are still relying on temperature and humidity data that is not accurate enough to support efficient control strategies. In high density environments, a deviation of just 1°C can trigger overcooling, inflate operating costs, and lock in avoidable carbon emissions.

This whitepaper from Vaisala, Reducing data center cooling energy consumption with accurate measurements, explores how measurement accuracy directly impacts cooling performance, energy spend, and sustainability outcomes.

By reading the guide, you will learn how to:

Identify where small measurement errors create large energy losses

Quantify the real cost of temperature and humidity inaccuracies

Improve cooling efficiency without compromising uptime or resilience

Reduce emissions by enabling tighter, more confident cooling control

Read Here

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