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Exploration on The Characteristics of Natural Ventilation in Bedrooms and Its Determination Method
- Source :
- E3S Web of Conferences, Vol 356, p 03044 (2022)
- Publication Year :
- 2022
- Publisher :
- EDP Sciences, 2022.
-
Abstract
- In this paper, the CO2 (carbon dioxide) exhaled by indoor occupants was used as the tracer gas, and the variation of indoor CO2 concentration in the whole day was observed. Among the 454 samples, 114 and 345 valid samples were screened out which can be used to calculate the daytime and night ventilation rate by the tracer gas method through the sectioning method. The results indicated that seasonal differences in daytime average ventilation are greater than night average ventilation. The highest daytime- average ventilation was found in autumn, next was summer, there was the lowest ventilation in winter. According to the necessary fresh air rate when sleeping at night, night average ventilation rate of 30.1% of samples met the standard. The ventilation rates of different building characteristics were analyzed, residential location, construction age, living floor, room size, window structure, indoor dampness, and window opening habits were all included. The results revealed that the window opening habits was the most significant factor for natural ventilation. Both daytime and night average ventilation rate are basically in the ratio of 2:1 when the windows are opened and closed. moreover, there was higher impact of outdoor climate on daytime average ventilation when window was closed. Significant impact of window structure and indoor dampness on night average ventilation was observed when window was opened. Present study proposed the measurement and determination methods of ventilation when daytime activities of occupants were happened
- Subjects :
- Environmental sciences
GE1-350
Subjects
Details
- Language :
- English, French
- ISSN :
- 22671242 and 20223560
- Volume :
- 356
- Database :
- Directory of Open Access Journals
- Journal :
- E3S Web of Conferences
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.147255ea7d3405fbc784dd47b426b3b
- Document Type :
- article
- Full Text :
- https://doi.org/10.1051/e3sconf/202235603044