Two engineers explain how data center design, construction and operation can help the facilities support their communities.
Articles on Data center efficiency
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Artificial intelligence systems have big environmental costs but are also finding ways to save energy and water, cut emissions and make businesses more efficient.
How many data centers will be built – and how much electricity they’ll need – is uncertain. Being prepared costs money, but so does being unprepared.
To reduce emissions put into the atmosphere, Google is using carbon capture and sequestration. But not all CCS projects are the same.
AI’s burgeoning energy appetite is driving efforts to make more efficient computer chips. But chips are only part of the data center equation.
AI is everywhere these days, which means more data centers eating up more electricity. There’s no easy fix, but some combination of efficiency, flexibility and new technologies could ease the burden.
Top contributors
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Professor of Engineering, Washington University in St. Louis
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Director of Energy Studies, University of Florida
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Professor of Electrical and Computer Engineering, Boston University
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Professor of Management, University of North Carolina – Greensboro
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Assistant Professor of Computer Engineering, Georgia Institute of Technology
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Professor of Civil, Environmental and Architectural Engineering, University of Colorado Boulder
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Professor of Electrical, Computer, and Energy Engineering, University of Colorado Boulder