Citation: Crawley, J.; Manouseli, D.;
Mallaburn, P.; Elwell, C. An
Empirical Energy Demand Flexibility
Metric for Residential Properties.
Energies 2022, 15, 5304. https://
doi.org/10.3390/en15145304
Academic Editor: Fabrizio Ascione
Received: 22 June 2022
Accepted: 18 July 2022
Published: 21 July 2022
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energies
Article
An Empirical Energy Demand Flexibility Metric for
Residential Properties
Jenny Crawley, Despina Manouseli *, Peter Mallaburn and Cliff Elwell
UCL Energy Institute, University College London, London WC1H 0NN, UK;
jenny.crawley@ucl.ac.uk (J.C.); peter.mallaburn@ucl.ac.uk (P.M.); clifford.elwell@ucl.ac.uk (C.E.)
* Correspondence: d.manouseli@ucl.ac.uk
Abstract: Shifting from heating using fossil fuel combustion to electrified heating, dominated by
heat pumps, is central to many countries’ decarbonisation strategy. The consequent increase in
electricity demand, combined with that from electric vehicles, and the shift from non-renewable to
renewable generation requires increased demand flexibility to support system operation. Demand
side response through interrupting heating during peak demands has been widely proposed and
simulation modelling has been used to determine the technical potential. This paper proposes an
empirical approach to quantifying a building’s potential to operate flexibly, presenting a metric based
on measured temperature drop in a dwelling under standard conditions after heating is switched
off, using smart meter and internal temperature data. A result was derived for 96% of 193 homes
within a test dataset, mean temperature drop of 1.5
◦
C in 3 h at 15
◦
C inside-outside temperature
differential. An empirical flexibility metric may support decision making and decarbonisation. For
households it may support the transition to heat pumps, enabling time of use costs and tariffs to be
better understood and system to be specified by installers. Electricity system stakeholders, such as
aggregators and DNOs may use it to identify the potential for demand response, managing local
networks, infrastructure and aggregation.
Keywords: flexibility metric; domestic buildings; temperature decay; electrified heating; smart meter
data; demand side response; heat pumps; energy performance certificate
1. Introduction
Reaching net zero CO
2
emissions requires rapid decarbonisation of the built envi-
ronment [1]. Globally, over half of buildings are heated using direct combustion of fossil
fuels [2], but decarbonisation of heating is widely expected to require switching to heat
pumps powered by renewable or other low carbon electricity [3]. The electrification of
heat will create new challenges for local and national electricity systems, such as local grid
congestion [4] and large seasonal variation in electricity demand [5] alongside increased
electricity demands from the electrification of the transport sector [6]. These challenges
have led to much work on how demand-side flexibility may be used to decrease and
diversify the peak electricity demand [7].
The UK has a stock of 28 million dwellings, with approximately 24 million gas boilers
and 2 million oil boilers [8] to replace with low carbon alternatives. The energy perfor-
mance of UK homes, with their respective energy conversion technologies, is indicated
through Energy Performance Certificate (EPC) ratings, which are also used to provide
recommendations to householders and landlords on cost-effective energy related upgrades.
EPC ratings in the UK are derived from closely related methods to those used in many
territories: physical survey of properties, followed by modelling which estimates the annual
energy costs from a standard usage pattern [9]. As the energy system decarbonises and the
requirements placed upon it change through the electrification of heat and transport, the
information provided by EPCs may need to change to better reflect the costs to consumers
Energies 2022, 15, 5304. https://doi.org/10.3390/en15145304 https://www.mdpi.com/journal/energies