Modelling responsive demand from electrified domestic heating and storage under different operating strategies
Allison, J. and Cowie, A. and Flett, G. and Hand, J W and Hawker, G and Kelly, N J (2018) Modelling responsive demand from electrified domestic heating and storage under different operating strategies. In: uSIM - Urban Energy Simulation, 2018-11-30 - 2018-11-30, University of Strathclyde.
Preview |
Text.
Filename: Allison_etal_uSIM_2018_Modelling_responsive_demand_from_electrified_domestic_heating.pdf
Accepted Author Manuscript Download (694kB)| Preview |
Abstract
The ability of UK housing with heat-pump-based heating systems to respond to requests for immediate changes to load was assessed using a bottom-up stock modelling approach. Detailed building simulation models of the most common types of UK housing were developed and their ability to respond to signals to drop or pick up load tested under two different operating strategies: on-demand heating and off-peak heating with supporting thermal storage. Both the thermal storage and heat pump capacity were sized prior to undertaking the responsive load simulations. The performance of each building was simulated over a calendar year, with the response to load variation signals constrained by thermal comfort requirements and hot water needs, which took priority. Without thermal storage and following a typical on-demand heating pattern, approximately 20% of heating systems could respond to a drop load or pick up load signal. Switching to an off-peak heating pattern with sized thermal storage resulted, firstly, in the entire operation of the heat pump could be shifted to off peak periods. Secondly, the overall ability to respond to a drop load request was almost unchanged, but typically over 80% of systems could respond to a pick up load signal. The aggregate response figures mask significant seasonal and intraday variations in response, with the ability to respond being limited during periods of low heating and hot water demand. The addition of thermal storage reduced this variability.
ORCID iDs
Allison, J. ORCID: https://orcid.org/0000-0003-3133-0558, Cowie, A. ORCID: https://orcid.org/0000-0002-1852-7113, Flett, G. ORCID: https://orcid.org/0000-0002-8255-5223, Hand, J W, Hawker, G ORCID: https://orcid.org/0000-0003-2876-4371 and Kelly, N J ORCID: https://orcid.org/0000-0001-6517-5942;-
-
Item type: Conference or Workshop Item(Paper) ID code: 67248 Dates: DateEvent30 November 2018Published30 March 2018AcceptedSubjects: Technology > Mechanical engineering and machinery Department: Faculty of Engineering > Mechanical and Aerospace Engineering
Faculty of Engineering > Electronic and Electrical Engineering
Strategic Research Themes > EnergyDepositing user: Pure Administrator Date deposited: 11 Mar 2019 16:39 Last modified: 03 Sep 2024 00:35 URI: https://strathprints.strath.ac.uk/id/eprint/67248