Influence of the TABS Material, Design, and Operating Factors on an Office Room’s Thermal Performance

Mikołaj Bobula, Piotr Michalak and Jerzy Wołoszyn ()
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Mikołaj Bobula: AGH University of Krakow, Faculty of Mechanical Engineering and Robotics, Department of Power Systems and Environmental Protection Facilities, al. A. Mickiewicza 30, 30-059 Krakow, Poland
Piotr Michalak: AGH University of Krakow, Faculty of Mechanical Engineering and Robotics, Department of Power Systems and Environmental Protection Facilities, al. A. Mickiewicza 30, 30-059 Krakow, Poland
Jerzy Wołoszyn: AGH University of Krakow, Faculty of Mechanical Engineering and Robotics, Department of Power Systems and Environmental Protection Facilities, al. A. Mickiewicza 30, 30-059 Krakow, Poland

Energies, 2024, vol. 17, issue 8, 1-22

Abstract: Reducing energy consumption in residential and commercial buildings is an important research topic. Thermally activated building systems are a promising technology for significantly reducing energy consumption. The high thermal inertia, large surfaces, and radiative nature are advantages of these systems, but, on the other hand, this makes the system control and design complex. A transient simulation is also required to address the dynamic behavior of the system. The influence of 19 factors (material, design, and operating parameters) on the air temperature and mean radiant temperature inside the room as well as the required cooling equipment power were analyzed to better understand the system. The screening experiment was conducted using the random balance design method, and measurement data were used to validate the resistance–capacitance model. The analysis was performed using the Plackett–Burman design and a design with randomly selected points from a full factorial experiment. The results show that internal heat gains and the inlet water temperature have a significant influence on the system, and the influence of the screed’s properties is insignificant compared to other parameters. It should be borne in mind that the obtained results and conclusions are valid for the assumed range of factors’ variability.

Keywords: TABS; concrete core activation; resistance–capacitance model; sensitivity analysis; validation; measurement (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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