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Estimation of Indoor Temperature Increments in Summers Using Heat-Flow Sensors to Assess the Impact of Roof Slab Insulation Methods

Author

Listed:
  • Yutong Li

    (Department of Architecture, Graduate School of Advanced Science and Engineering, Hiroshima University, Hiroshima 739-8527, Japan)

  • Atsushi Teramoto

    (Department of Architecture, Graduate School of Advanced Science and Engineering, Hiroshima University, Hiroshima 739-8527, Japan)

  • Takaaki Ohkubo

    (Department of Architecture, Graduate School of Advanced Science and Engineering, Hiroshima University, Hiroshima 739-8527, Japan)

  • Akihiro Sugiyama

    (Technical Service Team, Research & Development Group, Dyflex Co., Ltd., Chiba 273-0027, Japan)

Abstract

Improving the thermal insulation performance of buildings is crucial for saving energy. Currently, the insulation performance can be quantified based on the thermal resistance and thermal transmittance (U-value). However, for owners, these data are not readily available for the verification of different insulation methods. To address this, a solution could involve establishing a connection between specialized evaluation indicators and temperature, a common physical quantity. In this study, static and dynamic heat-transfer experiments were performed using an environmental simulation chamber and heat-flow sensors. Based on the tests, a simple predictive formula for the heat-flow density over time was established. After analyzing a full-scale building model, six cases of the heat-flow density versus temperature rise in indoor environments were obtained. This approach may aid owners in visually assessing the insulation performance of buildings by establishing a conversion relationship between the heat-flow density and temperature. In addition, the performance of 14 experimental specimens, including self-developed and code-documented thermal insulation materials and construction methods, was evaluated. In the simulations, after turning off indoor cooling equipment for 6 h during hot summers, the average indoor temperature increase for a roof with insulation was only 52% of that without insulation.

Suggested Citation

  • Yutong Li & Atsushi Teramoto & Takaaki Ohkubo & Akihiro Sugiyama, 2022. "Estimation of Indoor Temperature Increments in Summers Using Heat-Flow Sensors to Assess the Impact of Roof Slab Insulation Methods," Sustainability, MDPI, vol. 14(22), pages 1-23, November.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:22:p:15127-:d:973271
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    References listed on IDEAS

    as
    1. Schiavoni, S. & D׳Alessandro, F. & Bianchi, F. & Asdrubali, F., 2016. "Insulation materials for the building sector: A review and comparative analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 988-1011.
    2. David Bienvenido-Huertas & Roberto Rodríguez-Álvaro & Juan José Moyano & Fernando Rico & David Marín, 2018. "Determining the U -Value of Façades Using the Thermometric Method: Potentials and Limitations," Energies, MDPI, vol. 11(2), pages 1-17, February.
    3. Peng, Changhai & Wu, Zhishen, 2008. "Thermoelectricity analogy method for computing the periodic heat transfer in external building envelopes," Applied Energy, Elsevier, vol. 85(8), pages 735-754, August.
    4. Seo-Hoon Kim & Jong-Hun Kim & Hak-Geun Jeong & Kyoo-Dong Song, 2018. "Reliability Field Test of the Air–Surface Temperature Ratio Method for In Situ Measurement of U-Values," Energies, MDPI, vol. 11(4), pages 1-15, March.
    5. Lee, Sau Wai & Lim, Chin Haw & Salleh, Elias @ Ilias Bin, 2016. "Reflective thermal insulation systems in building: A review on radiant barrier and reflective insulation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 643-661.
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