Operational characterisation of neighbourhood heat energy after large-scale building retrofit
Cold Climate HVAC 2018: The 9th International Cold Climate Conference, Kiruna, Sweden, 12-15 March 2018 To achieve housing retrofit targets, traditional house-by-house approaches must scale. Neighbourhood retrofit also facilitates community participation. This paper aims to quantitatively characteri...
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ftunivcolldublin:oai:researchrepository.ucd.ie:10197/9300 2023-05-15T17:04:17+02:00 Operational characterisation of neighbourhood heat energy after large-scale building retrofit Beagon, Paul Boland, Fiona O'Donnell, James 2018-04-06T11:56:54Z http://hdl.handle.net/10197/9300 https://doi.org/10.1007/978-3-030-00662-4_19 en eng Springer Johansson, D., Bagge, H., Walstrom, A. Cold Climate HVAC 2018: Sustainable Buildings in Cold Climates Springer Proceedings in Energy book series 978-3-030-00661-7 http://hdl.handle.net/10197/9300 doi:10.1007/978-3-030-00662-4_19 SFI/15/SPP/E3125 The final publication is available at www.springerlink.com. Building retrofit Building simulation Modellica AixLib library Neighbourhood scale Statistical distribution Conference Publication 2018 ftunivcolldublin https://doi.org/10.1007/978-3-030-00662-4_19 2022-04-08T14:19:15Z Cold Climate HVAC 2018: The 9th International Cold Climate Conference, Kiruna, Sweden, 12-15 March 2018 To achieve housing retrofit targets, traditional house-by-house approaches must scale. Neighbourhood retrofit also facilitates community participation. This paper aims to quantitatively characterise the heat energy demand of similar homes in a post-retrofit neighbourhood. The method employs the Modelica AixLib library, dedicated to building performance simulation. A modern semi-detached house is modelled as thermal network. The passive thermal network is calibrated against an equivalent EnergyPlus model. The developed Modelica model then generates time series heat energy demand to meet occupant comfort. This model separates heating for internal space and domestic hot water. Simulation results are gathered for a range of house occupancy profiles, with varying heating schedules and occupant quantities. The calibration results compare the time series of internal house temperature produced by the EnergyPlus and Modelica simulations. Modelica simulations of two heating schedules generate distinct annual demand curves against occupant quantity. As expected in a modern house, domestic hot water accounts for a relatively high proportion of heat energy. Over a year it ranges between 20% and 45% depending on occupant profile. Overall conclusions are threefold. Firstly, occupant profiles of a modern semidetached house increase annual heat energy demand by 77%, and the coincidence of daily peak demand persists across occupant profiles. Furthermore, percentages of domestic hot water demand start from 20% or 24% and plateau at 39% or 45% depending on space heating schedule. A statistical distribution of energy demand by neighbourhood homes is possible. Its curve plot is not perfectly normal, skewing to larger energy demands. Science Foundation Ireland Conference Object Kiruna University College Dublin: Research Repository UCD Kiruna 217 229 |
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University College Dublin: Research Repository UCD |
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ftunivcolldublin |
language |
English |
topic |
Building retrofit Building simulation Modellica AixLib library Neighbourhood scale Statistical distribution |
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Building retrofit Building simulation Modellica AixLib library Neighbourhood scale Statistical distribution Beagon, Paul Boland, Fiona O'Donnell, James Operational characterisation of neighbourhood heat energy after large-scale building retrofit |
topic_facet |
Building retrofit Building simulation Modellica AixLib library Neighbourhood scale Statistical distribution |
description |
Cold Climate HVAC 2018: The 9th International Cold Climate Conference, Kiruna, Sweden, 12-15 March 2018 To achieve housing retrofit targets, traditional house-by-house approaches must scale. Neighbourhood retrofit also facilitates community participation. This paper aims to quantitatively characterise the heat energy demand of similar homes in a post-retrofit neighbourhood. The method employs the Modelica AixLib library, dedicated to building performance simulation. A modern semi-detached house is modelled as thermal network. The passive thermal network is calibrated against an equivalent EnergyPlus model. The developed Modelica model then generates time series heat energy demand to meet occupant comfort. This model separates heating for internal space and domestic hot water. Simulation results are gathered for a range of house occupancy profiles, with varying heating schedules and occupant quantities. The calibration results compare the time series of internal house temperature produced by the EnergyPlus and Modelica simulations. Modelica simulations of two heating schedules generate distinct annual demand curves against occupant quantity. As expected in a modern house, domestic hot water accounts for a relatively high proportion of heat energy. Over a year it ranges between 20% and 45% depending on occupant profile. Overall conclusions are threefold. Firstly, occupant profiles of a modern semidetached house increase annual heat energy demand by 77%, and the coincidence of daily peak demand persists across occupant profiles. Furthermore, percentages of domestic hot water demand start from 20% or 24% and plateau at 39% or 45% depending on space heating schedule. A statistical distribution of energy demand by neighbourhood homes is possible. Its curve plot is not perfectly normal, skewing to larger energy demands. Science Foundation Ireland |
format |
Conference Object |
author |
Beagon, Paul Boland, Fiona O'Donnell, James |
author_facet |
Beagon, Paul Boland, Fiona O'Donnell, James |
author_sort |
Beagon, Paul |
title |
Operational characterisation of neighbourhood heat energy after large-scale building retrofit |
title_short |
Operational characterisation of neighbourhood heat energy after large-scale building retrofit |
title_full |
Operational characterisation of neighbourhood heat energy after large-scale building retrofit |
title_fullStr |
Operational characterisation of neighbourhood heat energy after large-scale building retrofit |
title_full_unstemmed |
Operational characterisation of neighbourhood heat energy after large-scale building retrofit |
title_sort |
operational characterisation of neighbourhood heat energy after large-scale building retrofit |
publisher |
Springer |
publishDate |
2018 |
url |
http://hdl.handle.net/10197/9300 https://doi.org/10.1007/978-3-030-00662-4_19 |
geographic |
Kiruna |
geographic_facet |
Kiruna |
genre |
Kiruna |
genre_facet |
Kiruna |
op_relation |
Johansson, D., Bagge, H., Walstrom, A. Cold Climate HVAC 2018: Sustainable Buildings in Cold Climates Springer Proceedings in Energy book series 978-3-030-00661-7 http://hdl.handle.net/10197/9300 doi:10.1007/978-3-030-00662-4_19 SFI/15/SPP/E3125 |
op_rights |
The final publication is available at www.springerlink.com. |
op_doi |
https://doi.org/10.1007/978-3-030-00662-4_19 |
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217 |
op_container_end_page |
229 |
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1766058356258111488 |