Abstract
The aim of this study is to clarify detailed typical daily patterns of occupants' behaviour of window-opening and air-conditioning in hot-humid climates. Face-to-face interviews for 1,570 typical households were carried out in Malaysia and Indonesia. All samples were divided into several groups, based on the city climates and air-conditioner ownership, and subdivided through a principal component analysis and a hierarchical cluster analysis. The result shows the daily patterns of occupants' behaviour in hot-humid cities is clearly different from those in relatively cool city. Windows tend to be opened during daytime even if air-conditioner is installed, while air-conditioners are mainly used during sleep time.
| Original language | English |
|---|---|
| Title of host publication | PLEA 2018 - Smart and Healthy within the Two-Degree Limit |
| Subtitle of host publication | Proceedings of the 34th International Conference on Passive and Low Energy Architecture |
| Editors | Edward Ng, Square Fong, Chao Ren |
| Publisher | School of Architecture, The Chinese University of Hong Kong |
| Pages | 1185-1186 |
| Number of pages | 2 |
| ISBN (Electronic) | 9789628272365 |
| Publication status | Published - 2018 |
| Event | 34th International Conference on Passive and Low Energy Architecture: Smart and Healthy Within the Two-Degree Limit, PLEA 2018 - Hong Kong, China Duration: 10 Dec 2018 → 12 Dec 2018 |
Publication series
| Name | PLEA 2018 - Smart and Healthy within the Two-Degree Limit: Proceedings of the 34th International Conference on Passive and Low Energy Architecture |
|---|---|
| Volume | 3 |
Conference
| Conference | 34th International Conference on Passive and Low Energy Architecture: Smart and Healthy Within the Two-Degree Limit, PLEA 2018 |
|---|---|
| Country/Territory | China |
| City | Hong Kong |
| Period | 10/12/18 → 12/12/18 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Air-conditioning
- Classification
- Daily pattern
- Hot-humid
- Window-opening
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