Projects per year
Abstract
The ability of UK housing equipped with heat pumps to provide responsive electrical demand at scale has been analysed using building simulation and a representative sample of individually-attributed dwelling models. The predictions of the models were verified against national data. The response of the stock (constrained by local thermal comfort and hot water needs) to a signal requesting load variation was tested using annual simulations. Results indicated that an overall median of 43% of heat pumps could respond in some way to a drop load signal, and 70% to a pick-up load signal. Response for longer durations of up to 4 h, as required by some grid services, was significantly less, reducing nearly linearly as signal duration increased. Scaled to the UK housing stock (approx. 27 million dwellings), the results suggested a median response of 2 GW to a drop load signal, and 4.7 GW to a pick-up load signal. These figures mask large diurnal and seasonal differences in the ability to respond to load variation requests, with greater response during periods of heat pump usage in mornings and evenings and during the heating season. Conversely, during periods of limited heating demand, the ability to respond to signals was limited.
Original language | English |
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Article number | 111430 |
Journal | Energy and Buildings |
Volume | 252 |
Early online date | 2 Sept 2021 |
DOIs | |
Publication status | Published - 1 Dec 2021 |
Event | uSIM - Urban Energy Simulation: Scaling-up building simulation for urban and community energy analysis - University of Strathclyde, Glasgow, United Kingdom Duration: 30 Nov 2018 → 30 Nov 2018 Conference number: 1 |
Keywords
- demand flexibility
- heat pumps
- housing
- building simulation
- net zero transition
Fingerprint
Dive into the research topics of 'Assessing the ability of electrified domestic heating in the UK to provide unplanned, short-term responsive demand'. Together they form a unique fingerprint.Projects
- 1 Finished
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FITS-LCD: FITS-LCD: Fabric Integrated Thermal Storage for Low-Carbon Dwellings
Kelly, N., Bell, K., Clarke, J., Strachan, P., Tuohy, P. G. & Hawker, G.
EPSRC (Engineering and Physical Sciences Research Council)
1/04/16 → 31/03/19
Project: Research
Datasets
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Data for: "Assessing the Ability of Electrified Domestic Heating in the UK to Provide Unplanned, Short-Term Responsive Demand"
Kelly, N. (Creator), Cowie, A. (Creator) & Flett, G. H. (Creator), University of Strathclyde, 9 Sept 2021
DOI: 10.15129/8fd0350e-2f2f-44e2-bd39-c59b7274baa0
Dataset
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Modelling of individual domestic occupancy and energy demand behaviours using existing datasets and probabilistic modelling methods
Flett, G. & Kelly, N., 1 Dec 2021, In: Energy and Buildings. 252, 15 p., 111373.Research output: Contribution to journal › Article › peer-review
Open AccessFile8 Citations (Scopus)41 Downloads (Pure) -
Modelling responsive demand from electrified domestic heating and storage under different operating strategies
Allison, J., Cowie, A., Flett, G., Hand, J. W., Hawker, G. & Kelly, N. J., 30 Nov 2018. 10 p.Research output: Contribution to conference › Paper › peer-review
Open AccessFile -
Assessing domestic heat storage requirements for energy flexibility over varying timescales
Allison, J., Bell, K., Clarke, J., Cowie, A., Elsayed, A., Flett, G., Oluleye, G., Hawkes, A., Hawker, G., Kelly, N., Manuela Marinho de Castro, M., Sharpe, T., Shea, A., Strachan, P. & Tuohy, P., 25 May 2018, In: Applied Thermal Engineering. 136, p. 602-616 15 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile18 Citations (Scopus)98 Downloads (Pure)
Impacts
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Building performance simulation with computational modelling software enables practitioners to realise a low carbon built environment.
Joe Clarke (Participant), Nicolas Kelly (Participant) & Paul Strachan (Participant)
Impact: Impact - for External Portal › Environment and sustainability - natural world and built environment, Professional practice, training and standards
File