Tahmasebi, F;
Mahdavi, A;
(2019)
Revisiting the benefits of diversity representation in window operation models for building performance simulation.
Bauphysik
, 41
(1)
pp. 30-37.
10.1002/bapi.201800022.
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Abstract
To explore the potential advantages of supplying occupant behavior models with inter-occupant diversity information, this study models the occupants' operation of windows in a monitored open-plan office at aggregate and individual levels. Subsequently, a calibrated energy model of the office area incorporates the developed models and multiple streams of monitored data to evaluate the predictive performance of the models and their contribution to enhance the reliability of building performance assessments. According to the results, individual window operation models outperformed the aggregate model in capturing the peak and variation of window operation across occupants in the free?running season, which resulted in a better assessment of thermal comfort. However, the individual models yielded an overestimation of peak heating demand, as compared with the benchmark value based on the actual window operations in a single year.
| Type: | Article |
|---|---|
| Title: | Revisiting the benefits of diversity representation in window operation models for building performance simulation |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1002/bapi.201800022 |
| Publisher version: | http://doi.org/10.1002/bapi.201800022 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Occupant behaviour, building performance simulation, window operation models, Energy performance, Indoor climate |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Bartlett School Env, Energy and Resources |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10067992 |
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