Estimating the influence of housing energy efficiency and overheating adaptations on heat-related mortality in the West Midlands, UK

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Abstract

Mortality rates rise during hot weather in England, and projected future increases in heatwave frequency and intensity require the development of heat protection measures such as the adaptation of housing to reduce indoor overheating. We apply a combined building physics and health model to dwellings in theWest Midlands, UK, using an English Housing Survey (EHS)-derived stock model. Regional temperature exposures, heat-related mortality risk, and space heating energy consumption were estimated for 2030s, 2050s, and 2080s medium emissions climates prior to and following heat mitigating, energy-efficiency, and occupant behaviour adaptations. Risk variation across adaptations, dwellings, and occupant types were assessed. Indoor temperatures were greatest in converted flats, while heat mortality rates were highest in bungalows due to the occupant age profiles. Full energy efficiency retrofit reduced regional domestic space heating energy use by 26% but increased summertime heat mortality 3-4%, while reduced façade absorptance decreased heat mortality 12-15% but increased energy consumption by 4%. External shutters provided the largest reduction in heat mortality (37-43%), while closed windows caused a large increase in risk (29-64%). Ensuring adequate post-retrofit ventilation, targeted installation of shutters, and ensuring operable windows in dwellings with heat-vulnerable occupants may save energy and significantly reduce heat-related mortality.

Figures

  • Table 1. The adaptations and underlying assumptions modelled. The reduction in fabric U-value is based on the UK Government’s Standard Assessment Procedure (SAP) for Energy Rating of Dwellings, with the lowest possible U-value for the fabric component selected based on the fabric type and dwelling age [35]. The change in permeability is estimated based on the work by a Hong et al. [36] or b UK SAP, following the methods described by Hamilton et al. [37].
  • Table 1. Cont.
  • Figure 1. Density plots of the average indoor temperature when , , exceeds 23 °C during the 2030 summer. The red vertical line shows the median for the stock. There is a lack of data for groundfloor high-rise flats, and so these are not shown. English Housing Survey (EHS).
  • Figure 2. Density plots of the average indoor temperature when Tmax,out,d exceeds 23 ◦C during the 2030 summer following energy efficiency, heat, and behavioural adaptations. The red vertical line shows the median for the current (unadapted) stock (26.3 ◦C).
  • Table 2. Dwelling type by percent of residents within each age group, West Midlands.
  • Figure 3. (A) The mortality per million occupants per day of each dwelling type at increasing outdoor temperatures; (B) The mortality per million population per day in the West Midlands at increasing outdoor temperatures, stacked by dwelling variant.
  • Figure 4. The heat-related mortality risk per million population for summer 2030, by cumulative population percent and age classification.
  • Table 3. The estimated heat-related mortality per million population in the West Midlands prior to and following adaptation.

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Taylor, J., Symonds, P., Wilkinson, P., Heaviside, C., Macintyre, H., Davies, M., … Hutchinson, E. (2018). Estimating the influence of housing energy efficiency and overheating adaptations on heat-related mortality in the West Midlands, UK. Atmosphere, 9(5). https://doi.org/10.3390/atmos9050190

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