| id |
caadria2019_345 |
| authors |
Marschall, Max and Burry, Jane |
| year |
2019 |
| title |
Can the Use of Stochastic Models of Occupants' Environmental Control Behavior Influence Architectural Design Outcomes? - How field data can influence design outcomes |
| source |
M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 715-724 |
| doi |
https://doi.org/10.52842/conf.caadria.2019.1.715
|
| summary |
Thermal comfort research has shown that natural ventilation can reduce energy consumption while increasing comfort. However, giving occupants control over their environment introduces uncertainty into building performance which is challenging to emulate using current simulation techniques. Traditionally, window operation is modelled deterministically, for instance by assuming windows to be opened at a predefined temperature. Studies have shown this to be inaccurate, often causing large discrepancies between simulated and actual performance; instead, probabilistic models have emerged based on field study data. The literature on this topic is currently limited to building science and lacks an analysis of how these insights may affect architecture. In a design study, we used evolutionary computation to determine comfort-optimized housing designs for various climates, each time comparing the results of both window operation models. The resulting designs varied considerably; most notably, using the stochastic approach resulted in more shading elements, especially in warmer climates. |
| keywords |
window operation model; stochastic; natural ventilation; thermal comfort; occupant behavior |
| series |
CAADRIA |
| email |
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| full text |
 file.pdf (5,233,830 bytes) |
| references |
Content-type: text/plain
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De Dear, RJ and Brager, GS (2002)
 Thermal comfort in naturally ventilated buildings: Revisions to ASHRAE Standard 55
, Energy and Buildings, 34(6), p. 549-561
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|
|
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Langevin, J, Wen, J and Gurian, PL (2015)
Simulating the human-building interaction: Development and validation of an agent-based model of office occupant behaviors
, Building and Environment, 88, p. 27-45
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|
|
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Nicol, JF and Humphreys, MA (2004)
A stochastic approach to thermal comfort - occupant behavior and energy use in buildings
, ASHRAE Transactions, 110, pp. 68-554
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Rijal, HB, Tuohy, P, Humphreys, MA, Nicol, JF, Samuel, A and Clarke, J (2007)
Using results from field surveys to predict the effect of open windows on thermal comfort and energy use in buildings
, Energy and Buildings, 39(7), p. 823-836
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Tahmasebi, F and Mahdavi, A (2018)
On the utility of occupants' behavioural diversity information for building performance simulation: An exploratory case study
, Energy and Buildings, 176, pp. 380-389
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| last changed |
2022/06/07 07:59 |
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