Sousa, G. orcid.org/0000-0001-7433-874X and Robinson, D. orcid.org/0000-0001-7680-9795 (2020) Enhanced EnHub : dynamic simulation of housing stock energy systems. Journal of Building Performance Simulation, 13 (5). pp. 516-531. ISSN 1940-1493
Abstract
In the UK, heating systems are the most prominent contributor to residential energy demand, with about 80% of the share. Their representation has thus been at the core of all UK-focussed Housing Stock Energy Models (HSEMs). However, these HSEMs estimate heating demand based on monthly or annual energy balances, with correspondingly approximate representations of heating systems and practices (incl. energy conversion, distribution and spatiotemporal control). This paper describes an extension to the dynamic HSEM: EnHub, to rigorously simulate space heating and hot-water components (i.e. heaters, boilers, pumps, radiators, end-point registers, thermostats, taps). Baseline simulations estimate the English housing stock's energy use as 35.9 mtoe. Alternative scenarios in which heating systems are substituted across the board to district heating or ground-source heat pumps predict a reduction in demand to 30 and 18 mtoe respectively; the latter potentially being zero-carbon if the power sector is successfully decarbonised.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 International Building Performance Simulation Association (IBPSA). This is an author-produced version of a paper subsequently published in Journal of Building Performance Simulation. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | housing stock; dynamic energy simulation; modularity; domestic heating |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > School of Architecture (Sheffield) |
Funding Information: | Funder Grant number Economic and Social Research Council ES/S001670/1 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 06 Aug 2020 11:09 |
Last Modified: | 31 Jul 2021 00:38 |
Status: | Published |
Publisher: | Taylor & Francis |
Refereed: | Yes |
Identification Number: | 10.1080/19401493.2020.1788641 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:164164 |