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Development of stochastic models of window state changes in educational buildings

Liu, J., Yao, R. and McCloy, R. (2019) Development of stochastic models of window state changes in educational buildings. In: 2019 International Conference on Civil and Hydraulic Engineering, 10-12 May 2019, Hohai University, Nanjing, China, (304, 3, 032065)

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To link to this item DOI: 10.1088/1755-1315/304/3/032065


How people would like to interact with surrounding environment will subsequently influence indoor thermal conditions and further impact building energy performance. In order to understand occupants' adaptive behaviours in terms of environmental control utilization from the point of view of quantification, an investigation on windows operation was carried out in non-air-conditioned educational buildings in the UK during summer time considering the effects of occupant type (active and passive) and the time of a day. Outdoor air temperature was a better predictor or window operation than indoor air temperature. Window operation was found to be time-evolving event. The purpose or criteria of adjusting window states were different at different occupancy stages. Active occupants were more willing to change windows states in response to outdoor air temperature variations. Sub-models predicting transition probabilities of window state for different occupant type and occupancy stages were developed. The results derived from this field study are helpful with improving building simulation accuracy by integrating sub-models into simulation software and further providing guideline on building energy reduction without sacrificing indoor thermal comfort.

Item Type:Conference or Workshop Item (Paper)
Divisions:Science > School of the Built Environment > Energy and Environmental Engineering group
ID Code:89788


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