15-minute measurement datasets from 49 residential apartments in hot and humid climates for hygrothermal building simulation and occupant behavior studies
The datasets presented were generated based on long-term measurements in 49 residential apartments in Hanoi as part of the German-Vietnamese joint research project CAMaRSEC. Indoor climate data, including ambient temperature, humidity, pressure, and CO2 concentration, were acquired using wall-mounted data loggers deployed in bedrooms and living rooms. The measurements were conducted at 15-minute intervals over one year. Relevant meteorological data, including outdoor air temperature, humidity, solar radiation, wind speed and direction, and rainfall, were collected at 5-minute intervals during this period through a weather station installed at the Hanoi University of Civil Engineering. In addition to the data acquired directly through the sensors, the datasets include room occupancy and air conditioning operation data derived from indoor climate data. The comprehensive datasets are suitable for hygrothermal building simulations and contribute to the study of occupant behavior. A total of 49 datasets corresponding to 49 investigated apartments (AP) were generated based on data acquired between June 2020 and June 2021 in Hanoi, Vietnam. The measurements were carried out during the building use phase without interfering with the occupants' daily lives. All investigated apartments have at least one split-type air conditioner and multiple openable windows with ordinary single-pane glass. This hybrid space conditioning approach is also known as mixed-mode ventilation. There are no exterior shading devices, while the interior shading devices are only curtains, which are ineffective in reducing solar heat gain. Even under cold weather conditions, occupants rarely use air conditioners or other devices for space heating. Each dataset contains two sub-datasets representing measurements for the bedroom (BR) and living room (LR), except for datasets 41 and 42, which only have data for the living room. This work is a part of the CAMaRSEC project, funded by the "CLIENT II – International Partnerships for Sustainable Innovations" funding initiative of the German Ministry of Education and Research (BMBF) under grant number 01LZ1804. It was supported by the Department of Science, Technology and Environment of the Ministry of Construction in Vietnam.
Bundesministerium für Bildung und Forschung