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Quantifying the impact of Covid-19 on the energy consumption in the low-income housing in Greater London

Mohajeri, N. ; Javanroodi, K. LU ; Fergouson, L. ; Zhou, J. ; Nik, V. LU orcid ; Gudmundsson, A. LU ; Anvari, E. Arab ; Taylor, J. ; Symonds, P. and Davies, M. (2023) 2023 International Conference on the Built Environment in Transition, CISBAT 2023 2600.
Abstract

Covid-19 has caused great challenges to the energy sector, particularly in residential buildings with low-income households. This study investigates the impact of the confinement measures due to the Covid-19 outbreak on the energy demand of seven residential archetype buildings in Greater London. Three levels of confinement for occupant schedules are proposed and compared with the base case before Covid-19. The archetypes, their boundary conditions, and input parameters are set up according to statistics from English Housing Survey (EHS) sample data for low-income housing. The base case scenario (normal life without confinement measures) is validated against the measured data energy consumption from the National Energy Efficiency... (More)

Covid-19 has caused great challenges to the energy sector, particularly in residential buildings with low-income households. This study investigates the impact of the confinement measures due to the Covid-19 outbreak on the energy demand of seven residential archetype buildings in Greater London. Three levels of confinement for occupant schedules are proposed and compared with the base case before Covid-19. The archetypes, their boundary conditions, and input parameters are set up according to statistics from English Housing Survey (EHS) sample data for low-income housing. The base case scenario (normal life without confinement measures) is validated against the measured data energy consumption from the National Energy Efficiency Data-Framework (NEED) statistics. The results show that electricity consumption is significantly lower than that for heating and hot water for all the archetypes. By comparing the base case scenario with the full Covid-19 lockdown scenario, the results indicate that heating and hot water consumption (kWh) for all the residential archetypes increases, on average, by 10%, and total electricity demand (kWh) increases by 13%. The study highlights the importance of introducing detailed occupancy profiles in multi-zone building energy simulation models during a pandemic that leads to a greater shift towards home working, which may increase the risk of fuel poverty in low-income housing.

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author
; ; ; ; ; ; ; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Covid-19, energy demand, low-income housing, residential building archetype
host publication
Journal of Physics: Conference Series
volume
2600
article number
132002
edition
13
conference name
2023 International Conference on the Built Environment in Transition, CISBAT 2023
conference location
Hybrid, Lausanne, Switzerland
conference dates
2023-09-13 - 2023-09-15
external identifiers
  • scopus:85180149554
DOI
10.1088/1742-6596/2600/13/132002
language
English
LU publication?
yes
id
72724b2e-05fc-4b10-9a27-f99873d4d244
date added to LUP
2024-01-09 15:01:54
date last changed
2024-02-09 11:41:10
@inproceedings{72724b2e-05fc-4b10-9a27-f99873d4d244,
  abstract     = {{<p>Covid-19 has caused great challenges to the energy sector, particularly in residential buildings with low-income households. This study investigates the impact of the confinement measures due to the Covid-19 outbreak on the energy demand of seven residential archetype buildings in Greater London. Three levels of confinement for occupant schedules are proposed and compared with the base case before Covid-19. The archetypes, their boundary conditions, and input parameters are set up according to statistics from English Housing Survey (EHS) sample data for low-income housing. The base case scenario (normal life without confinement measures) is validated against the measured data energy consumption from the National Energy Efficiency Data-Framework (NEED) statistics. The results show that electricity consumption is significantly lower than that for heating and hot water for all the archetypes. By comparing the base case scenario with the full Covid-19 lockdown scenario, the results indicate that heating and hot water consumption (kWh) for all the residential archetypes increases, on average, by 10%, and total electricity demand (kWh) increases by 13%. The study highlights the importance of introducing detailed occupancy profiles in multi-zone building energy simulation models during a pandemic that leads to a greater shift towards home working, which may increase the risk of fuel poverty in low-income housing.</p>}},
  author       = {{Mohajeri, N. and Javanroodi, K. and Fergouson, L. and Zhou, J. and Nik, V. and Gudmundsson, A. and Anvari, E. Arab and Taylor, J. and Symonds, P. and Davies, M.}},
  booktitle    = {{Journal of Physics: Conference Series}},
  keywords     = {{Covid-19; energy demand; low-income housing; residential building archetype}},
  language     = {{eng}},
  title        = {{Quantifying the impact of Covid-19 on the energy consumption in the low-income housing in Greater London}},
  url          = {{http://dx.doi.org/10.1088/1742-6596/2600/13/132002}},
  doi          = {{10.1088/1742-6596/2600/13/132002}},
  volume       = {{2600}},
  year         = {{2023}},
}