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Data Centers and the Water-Energy Nexus.

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Title: Data Centers and the Water-Energy Nexus.
Authors: QUIRK, DAVID1, JONES, RAVEN2, VAWTER, KATE3
Source: ASHRAE Journal. Jun2026, Vol. 68 Issue 6, p30-34. 4p.
Subjects: Data centers, Water use, Digital technology, Energy consumption, Sustainability, Location analysis, Ecological impact
Abstract: The rapid expansion of artificial intelligence (AI) infrastructure has intensified attention and public scrutiny on the energy consumption of data centers. However, energy only represents one dimension of the environmental impact of digital infrastructure. Water use is emerging as a critical factor in determining sustainability, site selection and ultimately construction of AI data centers. [ABSTRACT FROM AUTHOR]
Copyright of ASHRAE Journal is the property of ASHRAE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 194242236
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Data Centers and the Water-Energy Nexus.
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  Data: <searchLink fieldCode="AR" term="%22QUIRK%2C+DAVID%22">QUIRK, DAVID</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22JONES%2C+RAVEN%22">JONES, RAVEN</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22VAWTER%2C+KATE%22">VAWTER, KATE</searchLink><relatesTo>3</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22ASHRAE+Journal%22">ASHRAE Journal</searchLink>. Jun2026, Vol. 68 Issue 6, p30-34. 4p.
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  Data: <searchLink fieldCode="DE" term="%22Data+centers%22">Data centers</searchLink><br /><searchLink fieldCode="DE" term="%22Water+use%22">Water use</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+technology%22">Digital technology</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+consumption%22">Energy consumption</searchLink><br /><searchLink fieldCode="DE" term="%22Sustainability%22">Sustainability</searchLink><br /><searchLink fieldCode="DE" term="%22Location+analysis%22">Location analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Ecological+impact%22">Ecological impact</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: The rapid expansion of artificial intelligence (AI) infrastructure has intensified attention and public scrutiny on the energy consumption of data centers. However, energy only represents one dimension of the environmental impact of digital infrastructure. Water use is emerging as a critical factor in determining sustainability, site selection and ultimately construction of AI data centers. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Group: Ab
  Data: <i>Copyright of ASHRAE Journal is the property of ASHRAE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Code: eng
        Text: English
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        PageCount: 4
        StartPage: 30
    Subjects:
      – SubjectFull: Data centers
        Type: general
      – SubjectFull: Water use
        Type: general
      – SubjectFull: Digital technology
        Type: general
      – SubjectFull: Energy consumption
        Type: general
      – SubjectFull: Sustainability
        Type: general
      – SubjectFull: Location analysis
        Type: general
      – SubjectFull: Ecological impact
        Type: general
    Titles:
      – TitleFull: Data Centers and the Water-Energy Nexus.
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            NameFull: QUIRK, DAVID
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            NameFull: JONES, RAVEN
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            NameFull: VAWTER, KATE
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            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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