Methods for the prediction of intermediate activities by office occupants

Tabak, V Vincent; Vries, B Bauke de

doi:10.1016/j.buildenv.2009.11.018

Cited by 74 publications

(23 citation statements)

References 7 publications

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“…User behaviour may be defined not only by the presence of people in the building, but also by the actions users take to influence the indoor environment; for example, the opening or closing of windows or blinds. Human behaviour can be explained as a result of physical needs and psychological needs (Tabak & de Vries, 2010). Physical needs depend highly on the individual and concern space, light, climate conditions and sound (Zimmermann, 2006).…”

Section: Human Behaviourmentioning

confidence: 99%

“…In this context, user behaviour may be defined as the presence of people in a workplace location in a building and the action users take (or do not take) to influence their indoor environment (Hoes et al, 2009). Recently models have been developed to describe human behaviour and are included in building performance analyses (Bourgeois, Reinhart, & MacDonald, 2006;Degelman, 1999;Hoes et al, 2009;Mahdavi, Kabir, Lambeva, & Proglhof, 2006;Nicol, 2001;Page et al, 2007;Reinhart, 2004;Rijal et al, 2007;Tabak & de Vries, 2010). However, only a few studies successfully demonstrated energy reduction from occupancy behavioural patterns that had been determined because there was no formal connection to the building energy management systems of these buildings (Dong & Andrews, 2009).…”

Section: Human Behaviourmentioning

confidence: 99%

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Occupants’ behavioural impact on energy consumption: ‘human-in-the-loop’ comfort process control

Zeiler

Vissers

Maaijen

et al. 2013

Architectural Engineering and Design Management

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Optimizing comfort for occupants and its related energy use is becoming more important. Presently, however, heating ventilation air-conditioning (HVAC) system installations often do not work in practice effectively and efficiently as the behaviour of the occupants is not included. The results are comfort complaints as well as unnecessary high-energy consumption. As the end-user influence becomes even more important within the energy process of sustainable buildings, it is necessary to integrate the occupants in the buildings' performance control loop. Laboratory experiments were performed to look for a correlation between infrared (IR) sensor temperature registrations and individual perceived thermal comfort in an individually conditioned workplace. It proved that it is in principle possible to use the third finger skin temperature as a control parameter for perceived thermal comfort. In another experiment in a real in-use office building, a wireless sensor network was applied to describe user behaviour on room and floor level. The results showed that it is possible to capture individual user behaviour and to use this to further optimize comfort in relation to energy consumption. Based on our experiments, we could determine the influence of occupants' behaviour on energy use and determine possible energy reduction by implementing the human-in-the-loop process control strategy.

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Section: Human Behaviourmentioning

confidence: 99%

Section: Human Behaviourmentioning

confidence: 99%

Occupants’ behavioural impact on energy consumption: ‘human-in-the-loop’ comfort process control

Zeiler

Vissers

Maaijen

et al. 2013

Architectural Engineering and Design Management

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“…Em termos gerais, o ambiente do trabalho é o local onde ocorrem os acordos formais e informais das relações de trabalho. Sua compreensão perpassa a relação entre os indivíduos, participantes do fornecimento ou da demanda de trabalho, as organizações, e o espaço como base física do trabalho (SANTOS, 2008;TALMASKY;SANTOS, 1998;VASCONCELOS;SOARES, 2009). …”

Section: Ambiente Construído Da Atividade De Trabalho: O Espaço De Trunclassified

A programação arquitetônica sob a ótica da ergonomia: um estudo de caso no setor público

Patterson

Abrahão

2011

Ambient. constr.

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Resumofalta de correspondência entre os ambientes construídos e o uso de edifícios destinados ao Judiciário brasileiro sugerem a dificuldade dos arquitetos em atender, em seus projetos, os requisitos qualitativos e quantitativos das necessidades dos servidores e da organização. A associação da abordagem da ergonomia da atividade à programação arquitetônica foi realizada em resposta à demanda de um novo edifício-sede para um órgão judicial. Tendo uma dissertação de mestrado como referência empírica, este artigo pretende definir parâmetros, fundamentados em procedimentos metodológicos, como suporte para o processo de programação. A equipe multidisciplinar envolvida com a investigação facilitou a articulação das diferentes etapas da análise ergonômica do trabalho. A formação de grupos focais possibilitou a coleta dos dados por meio das representações dos servidores das diferentes unidades do órgão. A definição de módulos de áreas, fundamentada nos dados coletados, permitiu que elementos qualitativos fossem incorporados ao dimensionamento do projeto. Observações sistemáticas em um recorte da situação de estudo complementam a validação dos dados. Ressalta-se a importância do tema na expectativa de aproximação dos arquitetos aos edifícios projetados para o setor público, agregando a realidade de trabalho nos ambientes construídos por eles projetados. Palavras

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“…However, it is a challenging task to develop reliable mathematical models of occupant presence due to the stochastic nature of human behavior [7]. Some stochastic models of the occupancy level of single offices have been proposed in the last decade within the scientific community [8][9][10]. In 2005 D. Wang et al [8] examined the statistical properties of occupancy in single person offices of a large office building in San Francisco and found that, while vacancy intervals could be treated as a constant over the day, occupancy intervals were more complex due to their varied distribution in time.…”

Section: Introductionmentioning

confidence: 99%

“…In 2005 D. Wang et al [8] examined the statistical properties of occupancy in single person offices of a large office building in San Francisco and found that, while vacancy intervals could be treated as a constant over the day, occupancy intervals were more complex due to their varied distribution in time. Tabak and de Vries [9] proposed a model to predict the occurrence and the frequency of intermediate break activities during an office working day (i.e. walking to a printer/mailbox or using the bathroom).…”

Section: Introductionmentioning

confidence: 99%

Occupancy schedules learning process through a data mining framework

D’Oca

Hong

2015

Energy and Buildings

248

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Building occupancy is a paramount factor in building energy simulations. Specifically, lighting, plug loads, HVAC equipment utilization, fresh air requirements and internal heat gain or loss greatly depends on the level of occupancy within a building. Developing the appropriate methodologies to describe and reproduce the intricate network responsible for human-building interactions are needed. Extrapolation of patterns from big data streams is a powerful analysis technique which will allow for a better understanding of energy usage in buildings. A three-step data mining framework is applied to discover occupancy patterns in office spaces. First, a data set of 16 offices with 10 minute interval occupancy data, over a two year period is mined through a decision tree model which predicts the occupancy presence. Then a rule induction algorithm is used to learn a pruned set of rules on the results from the decision tree model. Finally, a cluster analysis is employed in order to obtain consistent patterns of occupancy schedules. The identified occupancy rules and schedules are representative as four archetypal working profiles that can be used as input to current building energy modeling programs, such as EnergyPlus or IDA-ICE, to investigate impact of occupant presence on design, operation and energy use in office buildings.

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Methods for the prediction of intermediate activities by office occupants

Cited by 74 publications

References 7 publications

Occupants’ behavioural impact on energy consumption: ‘human-in-the-loop’ comfort process control

Occupants’ behavioural impact on energy consumption: ‘human-in-the-loop’ comfort process control

A programação arquitetônica sob a ótica da ergonomia: um estudo de caso no setor público

Occupancy schedules learning process through a data mining framework

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