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Assessment of thermal comfort in existing pre-1945 residential building stock

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  • Singh, Manoj Kumar
  • Attia, Shady
  • Mahapatra, Sadhan
  • Teller, Jacques

Abstract

The building sector is the third-largest consumer of primary energy in Belgium. This is partly because of the high percentage of old buildings (buildings constructed before 1945) in its building stock. Existing international standards on thermal comfort focus primarily on new construction and commercial buildings but tend to overlook old buildings. This study involves a thermal comfort assessment of fully functional (in use) residential buildings constructed before 1945 in Liège (Belgium). The research methodology is based on continuous long term monitoring of the indoor environment (November 2011 to May 2012) and followed by comfort surveys for selected houses in the city. The analysis of the collected data shows that family composition, envelope performance and the occupants' interaction with the indoor environment greatly affected occupant preferences and functioning of the indoor thermal environment. This study reveals that the occupants' interaction with the indoor thermal environment to restore comfortable thermal conditions varies throughout the day, by adjusting the temperature in different rooms of the house at different times of the day. This study argues that modern comfort standards have failed to estimate the comfort level in these old buildings and, if applied, they would lead to under estimation of their thermal comfort.

Suggested Citation

  • Singh, Manoj Kumar & Attia, Shady & Mahapatra, Sadhan & Teller, Jacques, 2016. "Assessment of thermal comfort in existing pre-1945 residential building stock," Energy, Elsevier, vol. 98(C), pages 122-134.
    • Handle: RePEc:eee:energy:v:98:y:2016:i:c:p:122-134
    DOI: 10.1016/j.energy.2016.01.030
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    References listed on IDEAS

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    1. Wright, Andrew, 2008. "What is the relationship between built form and energy use in dwellings?," Energy Policy, Elsevier, vol. 36(12), pages 4544-4547, December.
    2. Vadodaria, K. & Loveday, D.L. & Haines, V., 2014. "Measured winter and spring-time indoor temperatures in UK homes over the period 1969–2010: A review and synthesis," Energy Policy, Elsevier, vol. 64(C), pages 252-262.
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    4. Singh, Manoj Kumar & Mahapatra, Sadhan & Teller, Jacques, 2013. "An analysis on energy efficiency initiatives in the building stock of Liege, Belgium," Energy Policy, Elsevier, vol. 62(C), pages 729-741.
    5. Roberts, Simon, 2008. "Altering existing buildings in the UK," Energy Policy, Elsevier, vol. 36(12), pages 4482-4486, December.
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    Citations

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    Cited by:

    1. Jonghoon Ahn, 2020. "Performance Analyses of Temperature Controls by a Network-Based Learning Controller for an Indoor Space in a Cold Area," Sustainability, MDPI, vol. 12(20), pages 1-17, October.
    2. Attia, Shady & Canonge, Théophile & Popineau, Mathieu & Cuchet, Mathilde, 2022. "Developing a benchmark model for renovated, nearly zero-energy, terraced dwellings," Applied Energy, Elsevier, vol. 306(PB).
    3. Shady Attia & Camille Gobin, 2020. "Climate Change Effects on Belgian Households: A Case Study of a Nearly Zero Energy Building," Energies, MDPI, vol. 13(20), pages 1-11, October.
    4. Jonghoon Ahn, 2020. "Improvement of the Performance Balance between Thermal Comfort and Energy Use for a Building Space in the Mid-Spring Season," Sustainability, MDPI, vol. 12(22), pages 1-14, November.
    5. Shady Attia, 2020. "Spatial and Behavioral Thermal Adaptation in Net Zero Energy Buildings: An Exploratory Investigation," Sustainability, MDPI, vol. 12(19), pages 1-15, September.
    6. Braulio-Gonzalo, Marta & Bovea, María D. & Jorge-Ortiz, Andrea & Juan, Pablo, 2021. "Which is the best-fit response variable for modelling the energy consumption of households? An analysis based on survey data," Energy, Elsevier, vol. 231(C).
    7. Luka Pajek & Mitja Košir, 2021. "Exploring Climate-Change Impacts on Energy Efficiency and Overheating Vulnerability of Bioclimatic Residential Buildings under Central European Climate," Sustainability, MDPI, vol. 13(12), pages 1-17, June.
    8. Sung Hoon Yoon & Jonghoon Ahn, 2020. "Comparative Analysis of Energy Use and Human Comfort by an Intelligent Control Model at the Change of Season," Energies, MDPI, vol. 13(22), pages 1-15, November.
    9. Jonghoon Ahn, 2021. "Abatement of the Increases in Cooling Energy Use during a Period of Intense Heat by a Network-Based Adaptive Controller," Sustainability, MDPI, vol. 13(3), pages 1-17, January.
    10. Blázquez, Teresa & Ferrari, Simone & Suárez, Rafael & Sendra, Juan José, 2019. "Adaptive approach-based assessment of a heritage residential complex in southern Spain for improving comfort and energy efficiency through passive strategies: A study based on a monitored flat," Energy, Elsevier, vol. 181(C), pages 504-520.
    11. Ahn, Jonghoon & Chung, Dae Hun & Cho, Soolyeon, 2018. "Energy cost analysis of an intelligent building network adopting heat trading concept in a district heating model," Energy, Elsevier, vol. 151(C), pages 11-25.

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