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Introduction to the Dynamics of Heat Transfer in Buildings

Author

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  • Bożena Babiarz

    (Department of Heat Engineering and Air Conditioning, The Faculty of Civil and Environmental Engineering and Architecture, Rzeszow University of Technology, 12 Powstańców Warszawy Av., 35-959 Rzeszow, Poland
    Polish Association of Sanitary Engineers and Technicians, 35-959 Rzeszów, Poland)

  • Władysław Szymański

    (Polish Association of Sanitary Engineers and Technicians, 35-959 Rzeszów, Poland)

Abstract

Changing climatic conditions cause the variability of the parameters of the building’s surroundings, which in turn causes both the gains and losses of heat to change over time. There is variability in both daily and annual cycles. Meeting the requirements of thermal comfort in rooms requires maintaining the required parameters, including constant temperature. Heat gains and losses must be balanced, and this balance is ensured through appropriate heating systems. At the same time, the above means that the demand for heating buildings is not constant but depends on external weather conditions and the energy efficiency of the building. This, in turn, affects the thermal inertia, causing changes in the partition temperature to occur slower than the changes in air temperature. Therefore, the amplitude of the heating power changes is not proportional to the amplitude of the outside air temperature change. The paper presents an example of the analysis of thermal dynamics in buildings. Various aspects of heat transfer in the building were investigated taking into account the transient conditions. The variability of temperature over time at different depths of the partition was analysed, showing the results graphically. The periodic variability of the outside air temperature and the intensity of solar radiation were described by the Fourier series. Moreover, the article shows the influence of the thermal insulation thickness of the external wall on the annual amplitude of temperature changes and on the duration of the heating season, which is important from the point of view of optimization.

Suggested Citation

  • Bożena Babiarz & Władysław Szymański, 2020. "Introduction to the Dynamics of Heat Transfer in Buildings," Energies, MDPI, vol. 13(23), pages 1-28, December.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:23:p:6469-:d:458265
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    References listed on IDEAS

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    1. Robert Dylewski, 2019. "Optimal Thermal Insulation Thicknesses of External Walls Based on Economic and Ecological Heating Cost," Energies, MDPI, vol. 12(18), pages 1-14, September.
    2. Stanislav Chicherin & Vladislav Mašatin & Andres Siirde & Anna Volkova, 2020. "Method for Assessing Heat Loss in A District Heating Network with A Focus on the State of Insulation and Actual Demand for Useful Energy," Energies, MDPI, vol. 13(17), pages 1-15, September.
    3. Andrew J. Satchwell & Peter A. Cappers & Jeff Deason & Sydney P. Forrester & Natalie Mims Frick & Brian F. Gerke & Mary Ann Piette, 2020. "A Conceptual Framework to Describe Energy Efficiency and Demand Response Interactions," Energies, MDPI, vol. 13(17), pages 1-14, August.
    4. Chul-Ho Kim & Seung-Eon Lee & Kwang-Ho Lee & Kang-Soo Kim, 2019. "Detailed Comparison of the Operational Characteristics of Energy-Conserving HVAC Systems during the Cooling Season," Energies, MDPI, vol. 12(21), pages 1-29, October.
    5. Oldewurtel, Frauke & Sturzenegger, David & Morari, Manfred, 2013. "Importance of occupancy information for building climate control," Applied Energy, Elsevier, vol. 101(C), pages 521-532.
    6. Xiaoyan Zheng & Almas Heshmati, 2020. "An Analysis of Energy Use Efficiency in China by Applying Stochastic Frontier Panel Data Models," Energies, MDPI, vol. 13(8), pages 1-17, April.
    7. Bożena Babiarz, 2018. "Aspects of Heat Supply Security Management Using Elements of Decision Theory," Energies, MDPI, vol. 11(10), pages 1-14, October.
    8. Nuno Simões & Joana Prata & António Tadeu, 2019. "3D Dynamic Simulation of Heat Conduction through a Building Corner Using a BEM Model in the Frequency Domain," Energies, MDPI, vol. 12(23), pages 1-27, December.
    9. Yuan Xue & Zhihua Ge & Xiaoze Du & Lijun Yang, 2018. "On the Heat Transfer Enhancement of Plate Fin Heat Exchanger," Energies, MDPI, vol. 11(6), pages 1-18, May.
    10. Minyeop Rim & Uk-Joo Sung & Taeyeon Kim, 2018. "Application of Thermal Labyrinth System to Reduce Heating and Cooling Energy Consumption," Energies, MDPI, vol. 11(10), pages 1-17, October.
    11. Korkas, Christos D. & Baldi, Simone & Michailidis, Iakovos & Kosmatopoulos, Elias B., 2016. "Occupancy-based demand response and thermal comfort optimization in microgrids with renewable energy sources and energy storage," Applied Energy, Elsevier, vol. 163(C), pages 93-104.
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    Cited by:

    1. 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.
    2. García Nieto, Paulino José & García–Gonzalo, Esperanza & Paredes–Sánchez, Beatriz María & Paredes–Sánchez, José Pablo, 2023. "Modelling energy performance of residential dwellings by using the MARS technique, SVM-based approach, MLP neural network and M5 model tree," Applied Energy, Elsevier, vol. 341(C).
    3. Piotr Michalak, 2021. "Experimental and Theoretical Study on the Internal Convective and Radiative Heat Transfer Coefficients for a Vertical Wall in a Residential Building," Energies, MDPI, vol. 14(18), pages 1-22, September.

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