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Computer Simulation of Temperature Distribution during Cooling of the Thermally Insulated Room

Author

Listed:
  • Hana Charvátová

    (Faculty of Applied Informatics, Tomas Bata University in Zlín, 760 05 Zlín, Czech Republic)

  • Aleš Procházka

    (Department of Computing and Control Engineering, University of Chemistry and Technology in Prague, 166 28 Prague, Czech Republic
    Czech Institute of Informatics, Robotics and Cybernetics, Czech Technical University in Prague, 166 36 Prague, Czech Republic)

  • Martin Zálešák

    (Faculty of Applied Informatics, Tomas Bata University in Zlín, 760 05 Zlín, Czech Republic)

Abstract

This paper is devoted to modelling of temperature distribution and its time evolution in rooms with specific thermal insulation and heat transfer for different external conditions. The simulation results should help to design the room architecture and wall materials to reduce energy losses due to heating or cooling, and to increase the inside thermal comfort. For this purpose, a methodological procedure using real data processing in the COMSOL Multiphysics modelling environment and spatial visualization of temperature evolution is proposed. This paper describes a mathematical model for simulation of the temperature evolution inside a space with thermally insulated walls under selected outside conditions. Computer simulations are then used to assess the temperature distribution inside the room and the heat flow through the room walls. Results of the simulations are used for subsequent determination of the time needed for the desired decrease of air temperature inside the tested room during its cooling due to the low ambient temperature, which is related to the thermal stability of the building, specific heat capacity, and thickness of the thermal insulation. Under the studied conditions, the time to reach the temperature drops by 20 percent in a room with windows was from 1.4 to 1.8 times lower than that in the room without windows. The proposed methodology shows the flexibility of computer modelling in the design of insulated building systems. The mesh density testing was performed by comparing the air temperature evolution in the model of the selected mesh density and the model with its maximum value enabled by the size of computer memory. The maximum temperature deviation calculated for the mesh of the presented model was 0.57%.

Suggested Citation

  • Hana Charvátová & Aleš Procházka & Martin Zálešák, 2018. "Computer Simulation of Temperature Distribution during Cooling of the Thermally Insulated Room," Energies, MDPI, vol. 11(11), pages 1-16, November.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:11:p:3205-:d:183782
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    References listed on IDEAS

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    1. Fabio Bisegna & Benedetta Mattoni & Paola Gori & Francesco Asdrubali & Claudia Guattari & Luca Evangelisti & Sara Sambuco & Francesco Bianchi, 2016. "Influence of Insulating Materials on Green Building Rating System Results," Energies, MDPI, vol. 9(9), pages 1-17, September.
    2. Mingli Li & Guoqing Gui & Zhibin Lin & Long Jiang & Hong Pan & Xingyu Wang, 2018. "Numerical Thermal Characterization and Performance Metrics of Building Envelopes Containing Phase Change Materials for Energy-Efficient Buildings," Sustainability, MDPI, vol. 10(8), pages 1-23, July.
    3. Gabriele Battista & Luca Evangelisti & Claudia Guattari & Carmine Basilicata & Roberto De Lieto Vollaro, 2014. "Buildings Energy Efficiency: Interventions Analysis under a Smart Cities Approach," Sustainability, MDPI, vol. 6(8), pages 1-12, July.
    4. Chong Shen & Xianting Li, 2017. "Potential of Utilizing Different Natural Cooling Sources to Reduce the Building Cooling Load and Cooling Energy Consumption: A Case Study in Urumqi," Energies, MDPI, vol. 10(3), pages 1-17, March.
    5. Zawieska, Jakub & Pieriegud, Jana, 2018. "Smart city as a tool for sustainable mobility and transport decarbonisation," Transport Policy, Elsevier, vol. 63(C), pages 39-50.
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    7. Kaushik Biswas, 2018. "Development and Validation of Numerical Models for Evaluation of Foam-Vacuum Insulation Panel Composite Boards, Including Edge Effects," Energies, MDPI, vol. 11(9), pages 1-16, August.
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    Cited by:

    1. Hana Charvátová & Aleš Procházka & Martin Zálešák, 2020. "Computer Simulation of Passive Cooling of Wooden House Covered by Phase Change Material," Energies, MDPI, vol. 13(22), pages 1-15, November.

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