Data centers raise local Arizona temperatures by 4 degrees, study finds

· Source: Dataconomy · Field: Technology & Digital — Cloud Computing & IT Infrastructure, Environmental Impact of Technology · Depth: Fundamental Awareness, quick

Summary

A study by Arizona State University researchers found that data centers in Arizona are increasing local temperatures by as much as four degrees Fahrenheit. These facilities create heat islands, with recorded temperature variations reaching 16 degrees Fahrenheit higher than surrounding areas. Measurements showed air temperatures near data centers were 14 to 25 degrees Fahrenheit higher than those farther away. Downwind thermal plumes are estimated to raise temperatures by an average of 1.3 to 1.6 degrees Fahrenheit, with a peak increase of four degrees Fahrenheit compared to upwind temperatures. The thermal output from these centers, which can equate to the energy needs of approximately 40,000 households, poses increased public health risks and drives higher energy consumption for air conditioning, particularly in heat-prone regions like Phoenix. This research emerges amidst growing resident protests concerning data center heat output.

Key takeaway

For city planners and developers designing new infrastructure, you must integrate data center thermal output into your environmental impact assessments. Ignoring localized heat generation, which can raise temperatures by four degrees Fahrenheit, increases public health risks and energy consumption. Proactively incorporate greenbelts or woodlands to buffer heat effects between facilities and residential zones, mitigating community concerns and long-term environmental strain.

Key insights

Data centers significantly elevate local temperatures, creating public health risks and increasing energy demands in surrounding areas.

Principles

Method

The study measured air temperatures near four data centers, comparing them to farther areas and analyzing downwind thermal plumes to quantify localized heating effects.

In practice

Topics

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Editorial summary, takeaway, and curation by AIssential. Original article published by Dataconomy.