A probabilistic model for characterising heat pump electrical demand versus temperature

Anderson, Amy and Stephen, Bruce and Telford, Rory and McArthur, Stephen; (2020) A probabilistic model for characterising heat pump electrical demand versus temperature. In: 2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe). IEEE, NLD, pp. 1030-1034. ISBN 9781728171005 (https://doi.org/10.1109/ISGT-Europe47291.2020.9248...)

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Abstract

The introduction of electric heat pumps as an alternative to gas based systems for space heating offers a potential pathway for reducing the carbon emissions produced to meet domestic heating demand in the UK. The adoption of heat pumps has the potential to significantly re-shape typical domestic load profiles, however uptake within the UK is currently limited and the effects of wide-scale adoption on distribution networks is not well understood. Heat pump demand is highly sensitive to temperature, lessening load profile diversity, but is also influenced by behavioral routine and is therefore not entirely deterministic. This study develops a probabilistic demand model from real customer heat pump data for translating electrical heat pump demand/air temperature relations to account for regional variation. A LV network heat pump penetration study is performed to demonstrate how residential network impact can be assessed using the model.

ORCID iDs

Anderson, Amy, Stephen, Bruce ORCID logoORCID: https://orcid.org/0000-0001-7502-8129, Telford, Rory ORCID logoORCID: https://orcid.org/0000-0001-6450-4302 and McArthur, Stephen ORCID logoORCID: https://orcid.org/0000-0003-1312-8874;
  • Item type:Book Section
    ID code:74849
    Dates:
    Date
    Event
    10 November 2020
    Published
    22 April 2020
    Accepted
    Notes:© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
    Subjects:Technology > Electrical engineering. Electronics Nuclear engineering
    Department:Faculty of Engineering > Electronic and Electrical Engineering
    Depositing user: Pure Administrator
    Date deposited:09 Dec 2020 16:16
    Last modified:02 Dec 2024 01:07
    URI:https://strathprints.strath.ac.uk/id/eprint/74849
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