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    <journal-meta>
      <journal-title-group><journal-title>SET Proceedings</journal-title></journal-title-group>
      <issn pub-type="epub">2978-4387</issn>
      <publisher><publisher-name>Caravel Press</publisher-name></publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.65582/set.2015.109</article-id>
      <article-id pub-id-type="publisher-id">2015.109</article-id>
      <title-group><article-title>Solar thermal collector component for high-resolution stochastic bottom-up domestic energy demand models</article-title></title-group>
    <contrib-group>
      <contrib contrib-type="author">
        <name><surname>Henshall</surname><given-names>Paul</given-names></name>
        <xref ref-type="aff" rid="aff1"/>
      </contrib>
      <contrib contrib-type="author">
        <name><surname>Mckenna</surname><given-names>Eoghan</given-names></name>
        <xref ref-type="aff" rid="aff1"/>
        <email>e.j.mckenna@lboro.ac.uk</email>
      </contrib>
      <contrib contrib-type="author">
        <name><surname>Thomson</surname><given-names>Murray</given-names></name>
        <xref ref-type="aff" rid="aff1"/>
      </contrib>
      <contrib contrib-type="author">
        <name><surname>Eames</surname><given-names>Philip</given-names></name>
        <xref ref-type="aff" rid="aff1"/>
      </contrib>
      <aff id="aff1">Centre for Renewable Energy Systems Technology (CREST), School of Electronic, Electrical and Systems Engineering, Loughborough University, LE11 3TU, UK</aff>
    </contrib-group>
      <pub-date publication-format="electronic" date-type="pub"><day>06</day><month>07</month><year>2016</year></pub-date>
      <volume>14</volume>
      <issue>2</issue>
      <isbn publication-format="electronic">978-0-85358-314-1</isbn>
      <fpage>214</fpage>
      <lpage>222</lpage>
      <self-uri xlink:href="https://caravelpress.com/proceedings/set/papers/2015.109"/>
      <history>
        <date date-type="received"><string-date>6 July 2016</string-date></date>
      </history>
      <permissions>
        <copyright-statement>© 2015 Copyright WSSET</copyright-statement>
        <copyright-year>2016</copyright-year>
      </permissions>
      <abstract><p>High-resolution stochastic ‘bottom-up’ domestic energy demand models can be used to assess the impact of low-carbon technologies, and can underpin energy analyses of aggregations of dwellings. The domestic electricity demand model developed by Loughborough University has these features and accounts for lighting, appliance usage, and photovoltaic micro-generation. Work is underway at Loughborough to extend the existing model into an integrated thermal-electrical domestic demand model that can provide a suitable basis for modelling the impact of low-carbon heating technologies. This paper describes the development of one of the new components of the integrated model: a solar thermal collector model that provides domestic hot water to the dwelling. The paper describes the overall architecture of the solar thermal model and how it integrates with the broader thermal model, and includes a description of the control logic and thermal-electrical equivalent network used to model the solar collector heat output.</p></abstract>
      <kwd-group kwd-group-type="author">
        <kwd>Solar thermal collector</kwd>
        <kwd>domestic</kwd>
        <kwd>energy demand</kwd>
        <kwd>dynamic</kwd>
      </kwd-group>
      <conference>
        <conf-date>25 to 27 August 2015</conf-date>
        <conf-name>14th International Conference on Sustainable Energy Technologies</conf-name>
        <conf-acronym>SET2015</conf-acronym>
        <conf-num>14</conf-num>
        <conf-loc>Nottingham, United Kingdom</conf-loc>
      </conference>
    </article-meta>
  </front>
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