The impact of the behaviour of individual users in single-family households on the values of internal heat gains in a building

Authors

  • Alicja Wiącek Ignacy Łukasiewicz Doctoral School of Rzeszów University of Technology, Powstańców Warszawy 12, Rzeszów, 35-959, Poland
  • Sebastian Werle Silesian University of Technology, Akademicka 2A, Gliwice, 44-100, Poland
  • Mariusz Ruszel Rzeszow University of Technology, Powstańców Warszawy 12, Rzeszów, 35-959, Poland

DOI:

https://doi.org/10.24425/ather.2025.154916

Abstract

The aim of this study is to analyse the presence and activity of users in individual households by means of quantitative and qualitative research – questionnaires and interviews. The users’ behaviour has a significant impact on the thermal-flow processes taking place in the building, so their verification, ultimately, makes it possible to reduce the difference between the calculated and actual energy consumption of the building. The literature review revealed a lack of updated building occupancy schedules, which changed significantly after the COVID-19 pandemic. Based on the data collected, 6 household occupancy profiles were proposed, which, when combined, form a model describing behaviours (occupancy profile, profile of electrical appliances, lighting, natural ventilation, heating installations and supporting appliances). The model took into account the effect of internal heat gains on the energy balance of the building, including the working system – home office mode. The collected data was fed into a reference building model and an hourly dynamic simulation was carried out using commercial DesignBuilder software. Using outdoor climate parameters for selected cities, the reference building's annual heat demand was demonstrated and an assessment of the building’s indoor microclimate was provided. The multi-criteria empirical approach resulting in a set of revised data can be generalised and adapted to a larger group of actors, a selected area and a building.

References

[1] Deka, P., & Szlęk, A. (2022). Thermal energy storage in buildings: Opportunities and challenges. Archives of Thermodynamics, 43(4), 21–61. https://doi.org/10.24425/ather.20220144405

[2] Kreider, J.F., & Haberl, J.S. (1994). Predicting hourly building energy use: The great energy predictor shootout. ASHRAE Transactions, 100(2), 1104–1118.

[3] Ziębik, A., & Stanek, W. (2020). Energy efficiency – selected thermo-ecological problems. Archives of Thermodynamics, 41(2), 277–279. https://doi.org/10.24425/ather.2020.133633

[4] Mikielewicz, J., & Mikielewicz, D. (2024). Influence of thermodynamics on the development of technology and science. Archives of Thermodynamics, 45(2), 51–61. https://doi.org/10.24425/ather.2024.150851

[5] Karlsson, F., Rohdin, P., & Persson, M.-L. (2007). Measured and predicted energy demand of a low energy building. Building Services Engineering Research and Technology, 28, 223–235. https://doi.org/10.1177/0143624407077393

[6] Destro, N., Benato, A., Stoppato, A., & Mirandola, A. (2016). Components design and optimization of hybrid system with energy storages. Energy, 117(2), 569–577. https://doi.org/10.1016/j.energy.2016.05.097

[7] Lee, J., Kim, J., Song, D., & Jang, C. (2017). Impact of insulation and thermal density on building energy consumption. Renewable and Sustainable Energy Reviews, 75, 1081–1088. https://doi.org/10.1016/j.rser.2016.11.087

[8] Knight, I., Kreutzer, N., Manning, M., Swinton, M., & Ribberink, H. (2007). Non-HVAC electric and DHW load profiles for residential cogeneration systems. IEA Report.

[9] Ampatzi, E., & Knight, I. (2012). Modelling domestic energy demand profiles and internal gains. Energy and Buildings, 55, 285–298. https://doi.org/10.1016/j.enbuild.2012.08.031

[10] Ferdyn-Grygierek, J., Bartosz, D., Specjal, A., & Grygierek, K. (2018). Seasonal heat demand determination based on short measurements. Energies, 11(10), 2734. https://doi.org/10.3390/en11102734

[11] ASHRAE. (1997). ASHRAE handbook fundamentals (SI edition). American Society of Heating, Refrigerating and Air-Conditioning Engineers.

[12] Elsland, R., Peksen, I., & Wietschel, M. (2014). Internal heat gains in building performance evaluation. Energy Procedia, 62, 32–41. https://doi.org/10.1016/j.egypro.2014.12.364

[13] Firląg, S., & Zawada, B. (2013). Impact of airflows and internal gains on energy modeling accuracy. Energy and Buildings, 64, 372–383. https://doi.org/10.1016/j.enbuild.2013.04.024

[14] Saelens, D., Parys, W., & Baetens, R. (2011). Energy and comfort performance of building systems with occupant behavior. Building and Environment, 46(4), 835–848. https://doi.org/10.1016/j.buildenv.2010.10.012

[15] Liang, R., Ding, W., Zandi, Y., Rahimi, A., Pourkhorshidi, S., & Khadimallah, M.A. (2022). Internal heat gains prediction using AI. Energy and Buildings, 258, 111794. https://doi.org/10.1016/j.enbuild.2021.111794

[16] Samaan, M.M., Farag, O., & Khalil, M. (2018). Optimizing cooling loads and daylighting in campus buildings. HBRC Journal, 14(1), 79–92. https://doi.org/10.1016/j.hbrcj.2016.01.001

[17] Blight, T.S., & Coley, D.A. (2013). Effect of occupant behaviour on energy consumption. Energy and Buildings, 66, 183–192. https://doi.org/10.1016/j.enbuild.2013.06.030

[18] UNDP. (2024). Human development report 2023/2024: Breaking the gridlock. United Nations Development Programme.

[19] Statistisk sentralbyrå. (2021). Production and consumption of energy. Statistics Norway.

[20] Köppen, W., & Geiger, R. (1936). The geographical system of climate. Handbook of Climatology.

[21] ANSI/ASHRAE/IESNA. (2016). Standard 90.1-2016: Energy standard for buildings. ASHRAE.

[22] ANSI/ASHRAE. (2007). Standard 90.2-2007: Energy-efficient residential buildings. ASHRAE.

[23] Matuszak, A., & Matuszak, Z. (2011). Definition of sample size in pedagogical research. General and Professional Education, 2, 33–39.

[24] DesignBuilder. (2025). DesignBuilder software. https://designbuilder.co.uk/

[25] OneBuilding. (2024). Repository of Building Simulation Climate Data. https://climate.onebuilding.org/ [accessed 10 June 2024].

[26] ISO. (2005). ISO 15927-4:2005. Hygrothermal performance of buildings – climatic data for heating and cooling. International Organization for Standardization.

[27] ANSI/ASHRAE. (2013). Addendum a to Standard 169-2013: Climatic data for building design standards. ASHRAE.

[28] Brattebø, H., O’Born, R., Sartori, I., Klinski, M., & Nørstebø, B. (2016). Typologies for Norwegian residential buildings and energy efficiency measures. TABULA–EPISCOPE project.

[29] Statistisk sentralbyrå. (2021). Housing by building type and year of construction. Statistics Norway.

[30] Statistisk sentralbyrå. (2021). Population in Norway. Statistics Norway.

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Published

2025-06-30

How to Cite

Wiącek, Alicja, et al. “The Impact of the Behaviour of Individual Users in Single-Family Households on the Values of Internal Heat Gains in a Building”. Archives of Thermodynamics, vol. 46, no. 2, June 2025, pp. 173-8, doi:10.24425/ather.2025.154916.

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