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  <eprint id='https://researchdata.bath.ac.uk/id/eprint/1450'>
    <eprintid>1450</eprintid>
    <rev_number>35</rev_number>
    <documents>
      <document id='https://researchdata.bath.ac.uk/id/document/18387'>
        <docid>18387</docid>
        <rev_number>5</rev_number>
        <files>
          <file id='https://researchdata.bath.ac.uk/id/file/72372'>
            <fileid>72372</fileid>
            <datasetid>document</datasetid>
            <objectid>18387</objectid>
            <filename>dataset_airflow_models.xlsx</filename>
            <mime_type>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</mime_type>
            <hash>68c7b0205910848d024ac02a1f5670b5</hash>
            <hash_type>MD5</hash_type>
            <filesize>7871151</filesize>
            <mtime>2024-09-12 21:03:49</mtime>
            <url>https://researchdata.bath.ac.uk/1450/1/dataset_airflow_models.xlsx</url>
          </file>
        </files>
        <eprintid>1450</eprintid>
        <pos>1</pos>
        <placement>1</placement>
        <mime_type>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</mime_type>
        <format>other</format>
        <formatdesc>This is an Excel containing data from building simulations. The Excel cotains five sheets, one for each simulation case study.</formatdesc>
        <language>en</language>
        <security>public</security>
        <license>cc_by</license>
        <main>dataset_airflow_models.xlsx</main>
        <content>data</content>
      </document>
    </documents>
    <eprint_status>archive</eprint_status>
    <userid>11570</userid>
    <dir>disk0/00/00/14/50</dir>
    <datestamp>2025-04-10 10:25:32</datestamp>
    <lastmod>2025-04-28 08:56:38</lastmod>
    <status_changed>2025-04-10 10:25:32</status_changed>
    <type>data_collection</type>
    <metadata_visibility>show</metadata_visibility>
    <creators>
      <item>
        <name>
          <family>Conzatti</family>
          <given>Anna</given>
        </name>
        <id>ac2789@bath.ac.uk</id>
        <orcid>0000-0003-2549-0424</orcid>
        <affiliation>University of Bath; Cardiff Metropolitan University</affiliation>
        <contact>TRUE</contact>
      </item>
      <item>
        <name>
          <family>Fosas</family>
          <given>Daniel</given>
        </name>
        <id>d.fosas@ed.ac.uk</id>
        <orcid>0000-0001-8407-3431</orcid>
        <affiliation>The University of Edinburgh</affiliation>
        <contact>FALSE</contact>
      </item>
      <item>
        <name>
          <family>Chater</family>
          <given>Ben</given>
        </name>
        <id>bmc33@bath.ac.uk</id>
        <affiliation>University of Bath</affiliation>
        <contact>FALSE</contact>
      </item>
    </creators>
    <contributors>
      <item>
        <type>Supervisor</type>
        <name>
          <family>Coley</family>
          <given>David</given>
        </name>
        <id>dac33@bath.ac.uk</id>
        <orcid>0000-0001-5744-1809</orcid>
        <affiliation>University of Bath</affiliation>
      </item>
    </contributors>
    <title>Dataset for the journal paper &quot;Are simple models for natural ventilation suitable for shelter design?&quot;</title>
    <subjects>
      <item>CP0010</item>
      <item>CP0040</item>
      <item>DK0020</item>
      <item>DK0050</item>
      <item>FV0010</item>
    </subjects>
    <divisions>
      <item>dept_civ_eng</item>
    </divisions>
    <keywords>building simulation, natural ventilation, shelter design, indoor air quality</keywords>
    <note>The data are organised in five sheets (S01-S05), one for each ventilation type: single-side ventilation wind-driven (S01), cross-ventilation wind-driven (S02), single-side ventilation buoyancy-driven (S03), single-side two windows buoyancy-driven (S04)and cross-ventilation buoyancy-driven (S05).</note>
    <abstract>This dataset contains the annual simulation results for a single-room shelter under five natural ventilation scenarios (S01-S05), and located in Hitsats (Ethiopia). The simulations have been run using both EnergyPlus AirflowNetwork (AFN) and Contam. The dataset contains the results of outdoor temperature, wind speed and direction, relative humidity, indoor temperature, wind speed at the shelter, indoor concentration of carbon dioxide (CO2), natural ventilation and infiltration.</abstract>
    <date>2025-04-08</date>
    <publisher>University of Bath</publisher>
    <full_text_status>public</full_text_status>
    <corp_contributors>
      <item>
        <type>RightsHolder</type>
        <corpname>University of Bath</corpname>
      </item>
    </corp_contributors>
    <funding>
      <item>
        <project_name>McIntyre Scholarship in Healthy Housing</project_name>
      </item>
    </funding>
    <research_centres>
      <item>cent_renew</item>
    </research_centres>
    <collection_method>The dataset has been created through airflow building simulation using EnergyPlus AirflowNetwork (AFN) and Contam. The case study is represented by a single-room shelter located in Hitsats (Ethiopia). Five ventilation layouts: single-side ventilation wind-driven, cross-ventilation wind-driven,  single-side ventilation buoyancy-driven, single-side two windows buoyancy-driven, and cross-ventilation buoyancy-driven.</collection_method>
    <techinfo>The simulations have been run using EnergyPlus v.22.2 and Contam 3.4.0.1.</techinfo>
    <geographic_cover>Hitsats, Ethiopia</geographic_cover>
    <language>en</language>
    <version>1</version>
    <doi>10.15125/BATH-01450</doi>
    <related_resources>
      <item>
        <link>https://doi.org/10.5334/bc.497</link>
        <type>pub</type>
      </item>
    </related_resources>
    <access_types>
      <item>open</item>
    </access_types>
    <resourcetype>
      <general>Dataset</general>
    </resourcetype>
  </eprint>
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