<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.3 20210610//EN" "JATS-journalpublishing1-3.dtd">
<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" dtd-version="1.3" article-type="research-article" xml:lang="en">
  <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.2018.220</article-id>
      <article-id pub-id-type="publisher-id">2018.220</article-id>
      <title-group><article-title>High temperature air source heat pump coupled with thermal energy storage: an analysis of demand-side management designed for flattening the grid demand</article-title></title-group>
    <contrib-group>
      <contrib contrib-type="author" corresp="yes">
        <name><surname>Le</surname><given-names>Khoa Xuan</given-names></name>
        <xref ref-type="aff" rid="aff1"/>
        <email>le-k@ulster.ac.uk</email>
      </contrib>
      <contrib contrib-type="author">
        <name><surname>Huang</surname><given-names>Ming Jun</given-names></name>
        <xref ref-type="aff" rid="aff1"/>
      </contrib>
      <contrib contrib-type="author">
        <name><surname>Shah</surname><given-names>Nikhilkumar</given-names></name>
        <xref ref-type="aff" rid="aff1"/>
      </contrib>
      <contrib contrib-type="author">
        <name><surname>Mac Artain</surname><given-names>Paul</given-names></name>
        <xref ref-type="aff" rid="aff2"/>
      </contrib>
      <contrib contrib-type="author">
        <name><surname>Byrne</surname><given-names>Raymond</given-names></name>
        <xref ref-type="aff" rid="aff2"/>
      </contrib>
      <contrib contrib-type="author">
        <name><surname>Hewitt</surname><given-names>Neil J.</given-names></name>
        <xref ref-type="aff" rid="aff1"/>
      </contrib>
      <aff id="aff1">Centre for Sustainable Technologies, Ulster University, Northern Ireland, United Kingdom</aff>
      <aff id="aff2">School of Engineering, Dundalk Institute of Technology, Dundalk, Ireland</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>4</issue>
      <isbn publication-format="electronic">978-0-85358-327-1</isbn>
      <fpage>279</fpage>
      <lpage>287</lpage>
      <self-uri xlink:href="https://caravelpress.com/proceedings/set/papers/2018.220"/>
      <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>High temperature air source heat pumps (HT-ASHPs) have a good potential for retrofitting the domestic built environment in the UK because they can directly replace existing fossil-fuelled boilers without the requirement of modification of the heat distribution systems, which makes them cost-competitive regarding retrofit aspect and allows the UK to attain the carbon cut target. However, a widespread of these heat pumps would pose a challenge to the grid demand. In this study, a demand-side management (DSM) strategy was developed to address this issue. Thermal energy storage (TES) was integrated with HT-ASHPs to perform the developed DSM, which aimed at levelling off the grid demand by means of switching on the heat pump to charge the TES where there was low demand (midnight to 7am) and switching off the heat pump during peak hours (4pm to 7pm). The reference case was a mid-terraced dwelling equipped with traditional wet radiators, which is a typical house in Northern Ireland. TRNSYS simulations were used to run the developed DSM. Different TES sizes and set point temperatures were examined to seek the optimum values. The study also analysed with different electricity tariffs including flat rate, Economy 7 (the electricity is cheaper in night time than daytime) and Powershift (the electricity is divided into three bands: low, normal and peak). Results showed that both the tank size and setpoint temperature strongly affected the heat pump performances. The TES size of 1m³ and set point of 75˚C were the ideal parameters because it could shift wholly the 3-hour peak demand. The effects of the developed DSM on the grid and how the tariffs affected the system have also been discussed in this paper.</p></abstract>
      <kwd-group kwd-group-type="author">
        <kwd>high temperature air source heat pump</kwd>
        <kwd>thermal energy storage</kwd>
        <kwd>demand side management</kwd>
        <kwd>electricity tariffs</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>
  <body>
  </body>
  <back>
  </back>
</article>
