Experimental data showing the thermal behaviour of a residential building in a hot and humid climate on three scenarios: An empty room with a closed door, an empty room with an open door, and a normal inhabited room.

Autor: Matongo TJ; Laboratory of Technologies and Applied Science, University Institute of Technology, University of Douala, Douala, Cameroon., Tamba JG; Laboratory of Technologies and Applied Science, University Institute of Technology, University of Douala, Douala, Cameroon., Mba L; Laboratory of Mechanics and Adapted Materials LAMMA, Advanced Technical Teachers Training College, University of Douala, Douala, Cameroon.; Department of Electrical Engineering, Advanced Technical Teachers Training College, University of Douala, Douala, Cameroon., Yamb E; Department of Civil Engineering, Advanced Technical Teachers Training College, University of Douala, Douala, Cameroon.
Jazyk: angličtina
Zdroj: Data in brief [Data Brief] 2022 Feb 08; Vol. 41, pp. 107906. Date of Electronic Publication: 2022 Feb 08 (Print Publication: 2022).
DOI: 10.1016/j.dib.2022.107906
Abstrakt: Data presented on this paper are from the collection on the experimental site during a 12 months period, corresponding to the two seasons of the year. The site is located in the city of Douala in Cameroon, in a hot and humid zone. The experimental premises are located above the ground floor of a storey-building. They are built of 20 cm thick hollow breezeblocks with interior and exterior cement plastering, and they consist of the following: an open uninhabited room; a closed uninhabited room; and an inhabited room. The data acquisition system was achieved by the thermo-hygrometers and the anemometer placed in the rooms in accordance with the ASHRAE 55 standard [1], on instruments for measuring thermal comfort parameters in buildings. Collected data consists of the following: temperature, relative humidity and air velocity outside the site; the temperature and relative humidity inside the different rooms. These parameters are collected with a one-hour time step. The matlab software is used to calculate the maximum, minimum, average and standard deviation for each measured parameter. several areas are used for data processing: the search for causal links between the climatic parameters of the site, and those of the indoor environments of the buildings; data prediction on a one year's history basis; the impact of each experimental scenario on the thermal behaviour of the room; the assessment of the heat transfer in the room; the evaluation of the potential for energy savings in the room.
Competing Interests: The authors declare that they have no known competing interests.
(© 2022 The Author(s).)
Databáze: MEDLINE