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  <front>
    <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.2018.067</article-id>
      <article-id pub-id-type="publisher-id">2018.067</article-id>
      <title-group><article-title>Generation of typical weather data (TWD) for urban heat island (UHI)</article-title></title-group>
    <contrib-group>
      <contrib contrib-type="author">
        <name><surname>Lee</surname><given-names>Kwanho</given-names></name>
        <xref ref-type="aff" rid="aff1"/>
        <email>ghlee@uc.ac.kr</email>
      </contrib>
      <contrib contrib-type="author">
        <name><surname>Levermore</surname><given-names>Geoffrey J.</given-names></name>
        <xref ref-type="aff" rid="aff2"/>
        <email>geoff.levermore@manchester.ac.uk</email>
      </contrib>
      <aff id="aff1">School of Building &amp; Environment Design, Ulsan College, Bongsuro 101, Donggu, South Korea</aff>
      <aff id="aff2">School of Mechanical, Aerospace and Civil Engineering, Manchester University</aff>
    </contrib-group>
      <pub-date publication-format="electronic" date-type="pub"><day>28</day><month>02</month><year>2019</year></pub-date>
      <volume>17</volume>
      <issue>2</issue>
      <isbn publication-format="electronic">978-0-85358-327-1</isbn>
      <fpage>45</fpage>
      <lpage>51</lpage>
      <self-uri xlink:href="https://caravelpress.com/proceedings/set/papers/2018.067"/>
      <history>
        <date date-type="received"><string-date>28 February 2019</string-date></date>
      </history>
      <permissions>
        <copyright-statement>© 2018 Copyright WSSET</copyright-statement>
        <copyright-year>2019</copyright-year>
      </permissions>
      <abstract><p>Typical weather data (TWD) consists of 8760 values of various selected meteorological parameters and are derived initially from long-term data. At present, the weather data currently used by designers are invariably derived from meteorological measurements taken at semi-rural sites often at airfields, away from the urban centre. This paper looks at the method of the TWD and urban heat island intensity (UHII) by analyzation and estimation. This study can provide the TWD for urban heat island (UHI) estimate to the heating and cooling load using the UHII models and the TWD in Ulsan, South Korea and Manchester, UK. Comparing the loads between the core area and the Met-office, Manchester showed an increase of 9.2% in Ulsan showed an increase of 11.2%. Energy consumption following the urban heat island in Ulsan was more serious than in Manchester. The core area of Ulsan requests significant measures to reduce the cooling load in summer. The relationship between the wind speed of the meteorological station and the core should be investigated and analyzed for the UHI of the core area.</p></abstract>
      <kwd-group kwd-group-type="author">
        <kwd>Typical weather data(TWD)</kwd>
        <kwd>Urban heat island (UHII)</kwd>
        <kwd>Urban heat island intensity (UHII)</kwd>
        <kwd>Dry air temperature</kwd>
        <kwd>wind speed</kwd>
      </kwd-group>
      <conference>
        <conf-date>21 to 23 August 2018</conf-date>
        <conf-name>17th International Conference on Sustainable Energy Technologies</conf-name>
        <conf-acronym>SET2018</conf-acronym>
        <conf-num>17</conf-num>
        <conf-loc>Wuhan, China</conf-loc>
      </conference>
    </article-meta>
  </front>
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