<?xml version='1.0' encoding='utf-8'?>
<?xml-stylesheet type="text/xsl" href="/v2/static/oai2.xsl"?>
<OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd">
  <responseDate>2026-10-11T08:54:48Z</responseDate>
  <request identifier="oai:figshare.com:article/33986437" metadataPrefix="oai_dc" verb="GetRecord">https://api.figshare.com/v2/oai</request>
  <GetRecord>
    <record>
      <header>
        <identifier>oai:figshare.com:article/33986437</identifier>
        <datestamp>2026-09-24T15:22:30Z</datestamp>
        <setSpec>category_7</setSpec>
        <setSpec>category_21</setSpec>
        <setSpec>category_272</setSpec>
        <setSpec>category_873</setSpec>
        <setSpec>category_734</setSpec>
        <setSpec>category_64</setSpec>
        <setSpec>portal_63</setSpec>
        <setSpec>item_type_3</setSpec>
        <setSpec>month_year_09_2026</setSpec>
      </header>
      <metadata>
        <oai_dc:dc xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"  xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>When Does Moving
Computing West Save Water? A Project-Specific
Cooling and Break-Even Analysis of China’s East–Data–West–Computing
Strategy</dc:title>
          <dc:creator>Shifa Zhong (1685533)</dc:creator>
          <dc:subject>Medicine</dc:subject>
          <dc:subject>Biotechnology</dc:subject>
          <dc:subject>Environmental Sciences not elsewhere classified</dc:subject>
          <dc:subject>Chemical Sciences not elsewhere classified</dc:subject>
          <dc:subject>Biological Sciences not elsewhere classified</dc:subject>
          <dc:subject>Cancer</dc:subject>
          <dc:subject>residual campus demand</dc:subject>
          <dc:subject>hourly weather data</dc:subject>
          <dc:subject>facility energy overhead</dc:subject>
          <dc:subject>2015 – 2024</dc:subject>
          <dc:subject>yielding 48 comparisons</dc:subject>
          <dc:subject>related water use</dc:subject>
          <dc:subject>determine water savings</dc:subject>
          <dc:subject>level eastern alternatives</dc:subject>
          <dc:subject>destination project crosses</dc:subject>
          <dc:subject>water factors</dc:subject>
          <dc:subject>water configurations</dc:subject>
          <dc:subject>48 pairs</dc:subject>
          <dc:subject>eastern alternative</dc:subject>
          <dc:subject>− 63</dc:subject>
          <dc:subject>tower designs</dc:subject>
          <dc:subject>threshold set</dc:subject>
          <dc:subject>specific cooling</dc:subject>
          <dc:subject>separate constraint</dc:subject>
          <dc:subject>rejection model</dc:subject>
          <dc:subject>public evidence</dc:subject>
          <dc:subject>physical heat</dc:subject>
          <dc:subject>otherwise represented</dc:subject>
          <dc:subject>matched wet</dc:subject>
          <dc:subject>four named</dc:subject>
          <dc:subject>explicit climate</dc:subject>
          <dc:subject>even analysis</dc:subject>
          <dc:subject>cooling operation</dc:subject>
          <dc:subject>cooler climates</dc:subject>
          <dc:subject>climate alone</dc:subject>
          <dc:subject>china ’</dc:subject>
          <dc:subject>changes ranging</dc:subject>
          <dc:subject>central assumptions</dc:subject>
          <dc:subject>based scenarios</dc:subject>
          <dc:subject>advantage depends</dc:subject>
          <dc:subject>4 %.</dc:subject>
          <dc:description>China’s East–Data–West–Computing
strategy
places data centers in cooler climates, but climate alone does not
determine water savings. This study combines public cooling evidence,
hourly weather data for 2015–2024, a physical heat-rejection
model, and provincial electricity-water factors in a project-specific
break-even analysis. An audit of 93 mapped records identifies 12 unique
western hub projects and four named or cluster-level eastern alternatives,
yielding 48 comparisons. Cooling operation is reconstructed from public
evidence where possible and otherwise represented by explicit climate-based
scenarios. Under the central assumptions, western combined operational
water intensity is lower in 27 of 48 pairs, with changes ranging from
−63.5% to +110.4%. Against Guangdong, matched wet-tower designs
and facility energy efficiency yield higher mean western consumption
because of electricity-related water use. Low-water configurations
can reverse this penalty, but their advantage depends on the eastern
alternative, facility energy overhead, and electricity supply. Local
water stress adds a separate constraint on residual campus demand.
Westward siting therefore saves operational water only when the destination
project crosses the threshold set by the eastern alternative it replaces.</dc:description>
          <dc:date>2026-09-24T00:00:00Z</dc:date>
          <dc:type>Dataset</dc:type>
          <dc:type>Dataset</dc:type>
          <dc:identifier>10.1021/acs.estlett.6c00740.s002</dc:identifier>
          <dc:relation>https://figshare.com/articles/dataset/When_Does_Moving_Computing_West_Save_Water_A_Project-Specific_Cooling_and_Break-Even_Analysis_of_China_s_East_Data_West_Computing_Strategy/33986437</dc:relation>
          <dc:rights>CC BY-NC 4.0</dc:rights>
        </oai_dc:dc>
      </metadata>
    </record>
  </GetRecord>
</OAI-PMH>
