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Investigating the Potential Impact of Future Climate Change on UK Supermarket Building Performance

Author

Listed:
  • Agha Hasan

    (Department of Civil Engineering and Built Environment, School of Computing and Engineering, University of West London, London W5 5RF, UK)

  • Ali Bahadori-Jahromi

    (Department of Civil Engineering and Built Environment, School of Computing and Engineering, University of West London, London W5 5RF, UK)

  • Anastasia Mylona

    (Research Department, The Chartered Institution of Building Services Engineers (CIBSE), London SW12 9BS, UK)

  • Marco Ferri

    (Lidl Great Britain Ltd., 19 Worple Road, London SW19 4JS, UK)

  • Hooman Tahayori

    (Department of Computer Science & Engineering and IT, School of Electrical and Computer Engineering, Shiraz University, Shiraz, Iran)

Abstract

The large-scale shifts in weather patterns and an unprecedented change in climate have given rise to the interest in how climate change will affect the carbon emissions of supermarkets. This study investigates the implications of future climatic conditions on the operation of supermarkets in the UK. The investigation was conducted by performing a series of energy modelling simulations on a LIDL supermarket model in London, based on the UK Climate Projections (UKCP09) future weather years provided by the Chartered Institution of Building Services Engineers (CIBSE). Computational fluid dynamic (CFD) simulations were used to perform the experiment, and the baseline model was validated against the actual data. This investigation ascertains and quantifies the annual energy consumption, carbon emissions, and cooling and heating demand of the supermarket under different climatic projections, which further validate the scientific theory of annual temperature rise as a result of long-term climatic variation. The maximum percentage increase for the annual energy consumption for current and future weather data sets observed was 7.01 and 6.45 for the 2050s medium emissions scenario, (90th) percentile and high emissions scenario, (90th) percentile, respectively, and 11.05, 14.07, and 17.68 for the 2080s low emissions scenario, (90th) percentile, medium (90th) percentile and high emissions scenario (90th) percentile, respectively. A similar inclining trend in the case of annual CO 2 emissions was observed where the peak increase percentage was 6.80 and 6.24 for the 2050s medium emissions scenario, (90th) percentile and high (90th) percentile, respectively and 10.84, 13.84, and 17.45 for the 2080s low emissions scenario, (90th) percentile, medium emissions scenario (90th) percentile and high emissions scenario (90th) percentile, respectively. The study also analyses the future heating and cooling demands of the three warmest months and three coldest months of the year, respectively, to determine future variance in their relative values.

Suggested Citation

  • Agha Hasan & Ali Bahadori-Jahromi & Anastasia Mylona & Marco Ferri & Hooman Tahayori, 2020. "Investigating the Potential Impact of Future Climate Change on UK Supermarket Building Performance," Sustainability, MDPI, vol. 13(1), pages 1-24, December.
    • Handle: RePEc:gam:jsusta:v:13:y:2020:i:1:p:33-:d:466628
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    References listed on IDEAS

    as
    1. Kalogirou, Soteris A., 2003. "Generation of typical meteorological year (TMY-2) for Nicosia, Cyprus," Renewable Energy, Elsevier, vol. 28(15), pages 2317-2334.
    2. Ali Bahadori-Jahromi & Abdulazeez Rotimi & Anastasia Mylona & Paulina Godfrey & Darren Cook, 2017. "Impact of Window Films on the Overall Energy Consumption of Existing UK Hotel Buildings," Sustainability, MDPI, vol. 9(5), pages 1-23, May.
    3. Li, Danny H.W. & Yang, Liu & Lam, Joseph C., 2012. "Impact of climate change on energy use in the built environment in different climate zones – A review," Energy, Elsevier, vol. 42(1), pages 103-112.
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