Occupants’ window opening behavior in office buildings: A review of influencing factors, modeling approaches and model verification

Hawila, Abed Al-Waheed; Diallo, Thierno; Collignan, Bernard

doi:10.1016/j.buildenv.2023.110525

Building and Environment

2023

DOI: 10.1016/j.buildenv.2023.110525

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Occupants’ window opening behavior in office buildings: A review of influencing factors, modeling approaches and model verification

Abed Al-Waheed Hawila

Thierno Diallo

Bernard Collignan

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2024

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Cited by 6 publications

(1 citation statement)

References 88 publications

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“…Windows pattern operation is another important research topic regarding performance of buildings (Hawila;Diallo;Collignan, 2023;Liu et al, 2022). Pan et al (2019) state that modelling windows opening behaviour is essential for building performance simulation, due to the significant impact of the opening operation effects on indoor environment and, consequently, on its energy consumption.…”

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confidence: 99%

Finding patterns of occupant behaviour in actual data for thermal performance simulation: a case study in low-income houses

Schaefer,

Eccel,

Ghisi

2024

Ambient. constr.

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The way residents occupy and operate houses influences the energy consumption. The objective of this paper is to findpatterns of occupant behaviour in actual data for thermal performance simulation.Data on occupancy of rooms and operation of doors and windows were obtained through a database created by means of application of questionnaires in low-income houses located in Florianópolis, southern Brazil. The reference profiles were obtained using cluster analysis, hierarchical and non-hierarchical techniques combined. Such profiles were submitted to computer simulations. The results showed significant variability within the clusters regarding the occupancy and operation of doors and windows. It was possible to verify the impact that different profiles have on the performance of the house, either due to occupancy or heat losses and gains from air changes through doors and windows. The combination of these effects resulted in some profiles that were highly vulnerable to external temperature conditions, while others were able to maintain the internal temperatures more constant. It was possible to verify that the use of reference profiles based on actual data lead to more reliable performance indicators.

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mentioning

confidence: 99%

Finding patterns of occupant behaviour in actual data for thermal performance simulation: a case study in low-income houses

Schaefer,

Eccel,

Ghisi

2024

Ambient. constr.

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A hybrid learning approach to model the diversity of window-opening behavior

Liu,

Chong,

Yau

et al. 2024

Building and Environment

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Design frameworks for ventilative cooling: Perceptions from building design practitioners in Ireland and the United Kingdom

Sohail,

O'Donovan,

O'Sullivan

2024

Building and Environment

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Occupants’ window opening behavior in office buildings: A review of influencing factors, modeling approaches and model verification

Cited by 6 publications

References 88 publications

Finding patterns of occupant behaviour in actual data for thermal performance simulation: a case study in low-income houses

Finding patterns of occupant behaviour in actual data for thermal performance simulation: a case study in low-income houses

A hybrid learning approach to model the diversity of window-opening behavior

Design frameworks for ventilative cooling: Perceptions from building design practitioners in Ireland and the United Kingdom

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