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

Matongo, Janvier Thomas; Tamba, Jean Gaston; Mba, Léopold; Yamb, Emmanuel

doi:10.1016/j.dib.2022.107906

Data in Brief

2022

DOI: 10.1016/j.dib.2022.107906

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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

Janvier Thomas Matongo

Jean Gaston Tamba

Léopold Mba

et al.

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Cited by 4 publications

References 3 publications

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Performance evaluation of multivariate deep-time convolution neural architectures for short-term electricity forecasting: Findings and failures

Sapnken,

Tazehkandgheshlagh,

Hamaidi

et al. 2024

Energy 360

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Performance evaluation of multivariate deep-time convolution neural architectures for short-term electricity forecasting: Findings and failures

Sapnken,

Tazehkandgheshlagh,

Hamaidi

et al. 2024

Energy 360

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Effects of temperature and humidity on cerebrovascular disease hospitalization in a super-aging society

Doi,

Yoneyama,

Yoshida

et al. 2023

Sci Rep

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Weather conditions influence the incidence of cardiovascular disease. However, few studies have investigated the association between weather temperature and humidity and cerebrovascular disease hospitalizations in a super-aging society. We included 606,807 consecutive patients with cerebrovascular disease admitted to Japanese acute-care hospitals between 2015 and 2019. The primary outcome was the number of cerebrovascular disease hospitalizations per day. Multilevel mixed-effects linear regression models were used to estimate the association of mean temperature and humidity, 1 day before hospital admission, with cerebrovascular disease hospitalizations, after adjusting for air pollution, hospital, and patient demographics. Lower mean temperatures and humidity < 70% or humidity ≧ 70% are associated with an increased incidence of cerebrovascular disease hospitalization (coefficient, − 1.442 [− 1.473 to − 1.411] per °C, p < 0.001, coefficient, − 0.084 [− 0.112 to − 0.056] per%, p < 0.001, and coefficient, 0.136 [0.103 to 0.168] per %, p < 0.001, respectively). Lower mean temperatures and extremely lower or higher humidity are associated with an increased incidence of cerebrovascular disease hospitalization in a super-aging society.

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Assessing the severity of thermal discomfort in a building in the course of hot and humid climate

Matongo,

Ngock,

Yamb

et al. 2024

F1000Res

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This work is an application of experimental temperature data previously collected in a residential building in Douala, Cameroon, in order to analyze thermal discomfort. The data was collected according to three occupancy scenarios over 12 month period using thermohygrometer sensors. The temperature data are analysed in comparison with the comfortable temperature range from 24°C to 28°C. The degree hour (DH) method was used to assess the severity of thermal discomfort in a hot and humid climate. The results reveal that the open C1, closed C2 and inhabited C3 rooms corresponding to scenarios C1, C2 and C3 respectively, have 7270.6°H, 9063.9°H and 10023°H. The inhabited room C3 has the largest DH and although the room C1 has the smallest DH, the latter largely exceeded the tolerable limit value of 1250°H set by the RE2020 Environmental Regulations. Results from this work can serve in building modelling for researchers and architects to act for the alleviation of thermal discomfort in regions with hot and humid climate.

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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

Cited by 4 publications

References 3 publications

Performance evaluation of multivariate deep-time convolution neural architectures for short-term electricity forecasting: Findings and failures

Performance evaluation of multivariate deep-time convolution neural architectures for short-term electricity forecasting: Findings and failures

Effects of temperature and humidity on cerebrovascular disease hospitalization in a super-aging society

Assessing the severity of thermal discomfort in a building in the course of hot and humid climate

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