Modelling responsive demand from electrified domestic heating and storage under different operating strategies

Research output: Contribution to conferencePaper

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.

Conference

ConferenceuSIM - Urban Energy Simulation
Abbreviated titleuSIM
CountryUnited Kingdom
CityGlasgow
Period30/11/1830/11/18

Fingerprint

Heating
Pumps
Thermal comfort
Hot Temperature
Masks
Water
Loads (forces)

Keywords

  • heat
  • storage
  • domestic
  • energy
  • demand flexibility
  • electricity
  • heat pumps

Cite this

@conference{f028253089ee478cbd38df76dae8f147,
title = "Modelling responsive demand from electrified domestic heating and storage under different operating strategies",
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.",
keywords = "heat, storage, domestic, energy, demand flexibility, electricity, heat pumps",
author = "J. Allison and A. Cowie and G. Flett and Hand, {J W} and G Hawker and Kelly, {N J}",
year = "2018",
month = "11",
day = "30",
language = "English",
note = "uSIM - Urban Energy Simulation : Scaling-up building simulation for urban and community energy analysis, uSIM ; Conference date: 30-11-2018 Through 30-11-2018",

}

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.

2018. Paper presented at uSIM - Urban Energy Simulation, Glasgow, United Kingdom.

Research output: Contribution to conferencePaper

TY - CONF

T1 - Modelling responsive demand from electrified domestic heating and storage under different operating strategies

AU - Allison, J.

AU - Cowie, A.

AU - Flett, G.

AU - Hand, J W

AU - Hawker, G

AU - Kelly, N J

PY - 2018/11/30

Y1 - 2018/11/30

N2 - 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.

AB - 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.

KW - heat

KW - storage

KW - domestic

KW - energy

KW - demand flexibility

KW - electricity

KW - heat pumps

M3 - Paper

ER -