User behavior in whole building simulation

Hoes, P Pieter-Jan; Hensen, Jlm Jan; Loomans, Mglc Marcel; Vries, de B Bauke; Bourgeois, D.

doi:10.1016/j.enbuild.2008.09.008

Cited by 502 publications

(278 citation statements)

References 10 publications

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“…Although the importance of considering human factors in design and operation of active building technologies is now widely recognized [119], there is still a lack of knowledge in this interdisciplinary research area [120]. Consensus has been reached that automated systems should provide conditions that satisfy the average person, while at the same time keeping options open to meet personal preferences [121].…”

Section: Human Aspectsmentioning

confidence: 99%

Climate adaptive building shells: State-of-the-art and future challenges

Loonen

Trcka

Cóstola

et al. 2013

Renewable and Sustainable Energy Reviews

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506

270

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Section: Human Aspectsmentioning

confidence: 99%

Climate adaptive building shells: State-of-the-art and future challenges

Loonen

Trcka

Cóstola

et al. 2013

Renewable and Sustainable Energy Reviews

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506

270

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“…The resulting occupant model may be characterized as deterministic, whereas recent advances in research include occupant behaviour via stochastic models, taking into account uncertainties and varying presence over time (Stoppel and Leite 2014;Yan et al 2015). However, a standard deterministic presence profile will suffice for most museums because visitors do not interact with the building and presence may be predicted well (Hoes et al 2009). …”

Section: Discussionmentioning

confidence: 99%

The importance of integrally simulating the building, HVAC and control systems, and occupants’ impact for energy predictions of buildings including temperature and humidity control: validated case study museum Hermitage Amsterdam

Kramer

Schijndel

Schellen

2016

Journal of Building Performance Simulation

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For buildings including temperature and humidity control, this study compares the energy prediction accuracy of a ZABESmodel (Zone Air Building Energy Simulation) to an IBES-model (Integral Building Energy Simulation), which additionally includes models of the air handling unit (AHU) and controllers. Museum Hermitage Amsterdam served as a case study. For one year, measurements were performed in the main exhibition hall and its AHU. The ZABES-model was developed using heat air and moisture model for building and systems evaluation (implemented in MATLAB). The IBES-model was developed in Simulink and consists of the ZABES-model and models of AHU-components and controllers. Both models have been validated in detail. The IBES-model's energy prediction errors are well within 10%. However, the ZABESmodel underestimated the total annual energy consumption by 84%. Moreover, including occupants' heat and moisture gains leads to realistic results using the IBES-model, but leads to unrealistic results using the ZABES-model. In conclusion, IBES-models are essential for reliable energy predictions of buildings including humidity control.

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“…However, occupant presence and behaviour have a large impact on space heating, cooling and ventilation demand, energy consumption of lighting and room appliances (Page, Robinson, Morel, & Scartezzini, 2007) and thus on the energy performance of a building (Hoes, Hensen, Loomans, de Vries, & Bourgeois, 2009). 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.…”

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%

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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User behavior in whole building simulation

Cited by 502 publications

References 10 publications

Climate adaptive building shells: State-of-the-art and future challenges

Climate adaptive building shells: State-of-the-art and future challenges

The importance of integrally simulating the building, HVAC and control systems, and occupants’ impact for energy predictions of buildings including temperature and humidity control: validated case study museum Hermitage Amsterdam

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

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