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Integrated Measuring and Control System for Thermal Analysis of Buildings Components in Hot Box Experiments

Author

Listed:
  • Tullio de Rubeis

    (Department of Industrial and Information Engineering and Economics (DIIIE), University of L’Aquila, Piazzale Pontieri 1, Monteluco di Roio, I 67100 L’Aquila, Italy)

  • Mirco Muttillo

    (Department of Industrial and Information Engineering and Economics (DIIIE), University of L’Aquila, Piazzale Pontieri 1, Monteluco di Roio, I 67100 L’Aquila, Italy)

  • Iole Nardi

    (Energy Efficiency Unit Department (DUEE-SPS-ESU), ENEA Casaccia, S.M. Di Galeria, 00123 Rome, Italy)

  • Leonardo Pantoli

    (Department of Industrial and Information Engineering and Economics (DIIIE), University of L’Aquila, Piazzale Pontieri 1, Monteluco di Roio, I 67100 L’Aquila, Italy)

  • Vincenzo Stornelli

    (Department of Industrial and Information Engineering and Economics (DIIIE), University of L’Aquila, Piazzale Pontieri 1, Monteluco di Roio, I 67100 L’Aquila, Italy)

  • Dario Ambrosini

    (Department of Industrial and Information Engineering and Economics (DIIIE), University of L’Aquila, Piazzale Pontieri 1, Monteluco di Roio, I 67100 L’Aquila, Italy)

Abstract

In this paper, a novel integrated measuring and control system for hot box experiments is presented. The system, based on a general-purpose microcontroller and on a wireless sensors network, is able to fully control the thermal phenomena inside the chambers, as well as the heat flux that involves the specimen wall. Thanks to the continuous measurements of air and surfaces temperatures and energy input into the hot chamber, the thermal behavior of each hot box component is analyzed. A specific algorithm allows the post-process of the measured data for evaluating the specimen wall thermal quantities and for creating 2D and 3D thermal models of each component. The system reliability is tested on a real case represented by a double insulating X-lam wall. The results of the 72 h experiment show the system’s capability to maintain stable temperature set points inside the chambers and to log the temperatures measured by the 135 probes, allowing to know both the U-value of the sample (equal to 0.216 ± 0.01 W/m 2 K) and the thermal models of all the hot box components. The U-value obtained via hot box method has been compared with the values gathered through theoretical calculation and heat flow meter measurements, showing differences of less than 20%. Finally, thanks to the data postprocessing, the 2D and 3D thermal models of the specimen wall and of the chambers have been recreated.

Suggested Citation

  • Tullio de Rubeis & Mirco Muttillo & Iole Nardi & Leonardo Pantoli & Vincenzo Stornelli & Dario Ambrosini, 2019. "Integrated Measuring and Control System for Thermal Analysis of Buildings Components in Hot Box Experiments," Energies, MDPI, vol. 12(11), pages 1-22, May.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:11:p:2053-:d:235252
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    References listed on IDEAS

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    1. Natalia Cid & Ana Ogando & M. A. Gómez, 2017. "Acquisition System Verification for Energy Efficiency Analysis of Building Materials," Energies, MDPI, vol. 10(9), pages 1-12, August.
    2. Biswas, Kaushik & Desjarlais, Andre & Smith, Douglas & Letts, John & Yao, Jennifer & Jiang, Timothy, 2018. "Development and thermal performance verification of composite insulation boards containing foam-encapsulated vacuum insulation panels," Applied Energy, Elsevier, vol. 228(C), pages 1159-1172.
    3. So Young Koo & Sihyun Park & Jin-Hee Song & Seung-Yeong Song, 2018. "Effect of Surface Thermal Resistance on the Simulation Accuracy of the Condensation Risk Assessment for a High-Performance Window," Energies, MDPI, vol. 11(2), pages 1-13, February.
    4. 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.
    5. Iole Nardi & Tullio De Rubeis & Edoardo Buzzi & Stefano Sfarra & Dario Ambrosini & Domenica Paoletti, 2016. "Modeling and Optimization of the Thermal Performance of a Wood-Cement Block in a Low-Energy House Construction," Energies, MDPI, vol. 9(9), pages 1-17, August.
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    Cited by:

    1. Romina Paolucci & Marianna Rotilio & Stefano Ricci & Andrea Pelliccione & Giuseppe Ferri, 2022. "A Sensor-Based System for Dust Containment in the Construction Site," Energies, MDPI, vol. 15(19), pages 1-20, October.
    2. Tullio de Rubeis & Annamaria Ciccozzi & Letizia Giusti & Dario Ambrosini, 2022. "The 3D Printing Potential for Heat Flow Optimization: Influence of Block Geometries on Heat Transfer Processes," Sustainability, MDPI, vol. 14(23), pages 1-19, November.
    3. Abdalhadi Alhawari & Phalguni Mukhopadhyaya, 2022. "Construction and Calibration of a Unique Hot Box Apparatus," Energies, MDPI, vol. 15(13), pages 1-20, June.
    4. Jorge de Brito & M. Glória Gomes, 2020. "Special Issue “Building Thermal Envelope”," Energies, MDPI, vol. 13(5), pages 1-5, February.
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    6. Tullio de Rubeis & Luca Evangelisti & Claudia Guattari & Domenica Paoletti & Francesco Asdrubali & Dario Ambrosini, 2022. "How Do Temperature Differences and Stable Thermal Conditions Affect the Heat Flux Meter (HFM) Measurements of Walls? Laboratory Experimental Analysis," Energies, MDPI, vol. 15(13), pages 1-12, June.

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