Journal ArticleDOI
Towards a model of user behaviour regarding the manual control of windows in office buildings
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TLDR
A preliminary user model is proposed to simulate and predict window status in office buildings with varying outdoor temperature and occupancy and reveals a strong correlation between the percentage of open windows and the time of year, outdoorTemperature and building occupancy patterns.About:
This article is published in Building and Environment.The article was published on 2008-04-01. It has received 262 citations till now. The article focuses on the topics: Window (computing).read more
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Occupant behavior modeling for building performance simulation: Current state and future challenges:
Da Yan,William O'Brien,Tianzhen Hong,Xiaohang Feng,H. Burak Gunay,Farhang Tahmasebi,Ardeshir Mahdavi +6 more
TL;DR: In this paper, the state-of-the-art research, current obstacles and future needs and directions for the following four-step iterative process: (1) occupant monitoring and data collection, (2) model development, (3) model evaluation, and (4) model implementation into building simulation tools.
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Occupants' window opening behaviour: A literature review of factors influencing occupant behaviour and models
TL;DR: In this article, a theoretical framework to deal with occupants' interactions with building controls, aimed at improving or maintaining the preferred indoor environmental conditions, is elaborated, which is used to look into the drivers for the actions taken by occupants (windows opening and closing) and investigate the existing models in literature of these actions for both residential and office buildings.
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Interactions with window openings by office occupants
Frédéric Haldi,Darren Robinson +1 more
TL;DR: A hybrid of these techniques which models stochastic usage behaviour in a comprehensive and efficient way is proposed, and an algorithm for implementing this model in dynamic building simulation tools is described.
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IEA EBC Annex 66: Definition and simulation of occupant behavior in buildings
TL;DR: The International Energy Agency (IEA) Energy in Buildings and Community (EBC) Programme Annex 66 has established a scientific methodological framework for occupant behavior research, including data collection, behavior model representation, modeling and evaluation approaches, and the integration of behavior modeling tools with building performance simulation programs as mentioned in this paper.
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Personal comfort models: Predicting individuals' thermal preference using occupant heating and cooling behavior and machine learning
TL;DR: It is concluded that personal comfort models based on occupants’ heating and cooling behavior can effectively predict individuals’ thermal preference and can therefore be used in everyday comfort management to improve occupant satisfaction and energy use in buildings.
References
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Journal ArticleDOI
Lightswitch-2002: a model for manual and automated control of electric lighting and blinds
TL;DR: A simulation algorithm is proposed that predicts the lighting energy performance of manually and automatically controlled electric lighting and blind systems in private and two-person offices and features four different user types to mimic variation in control behavior between different occupants.
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Thermal comfort: use of controls in naturally ventilated buildings
TL;DR: In this article, a field study of the thermal comfort of workers in natural ventilated office buildings in Oxford and Aberdeen, UK, was carried out which included information about use of building controls.
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A stochastic model of user behaviour regarding ventilation
TL;DR: In this paper, a stochastic model using Markov chains is proposed to generate time series of window angle, based on data from four office rooms and a whole heating season (from October to May).
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Design of passive cooling by night ventilation: evaluation of a parametric model and building simulation with measurements
TL;DR: In this article, the authors used both mechanical and free night ventilation for passive cooling of the offices of Fraunhofer ISE and found that room temperatures are comfortable even at high ambient air temperatures.