Tahmasebi, Farhang;
Mostofi, Sepideh;
Mahdavi, Ardeshir;
(2015)
Exploring the Implications of Different Occupancy Modelling Approaches for Building Performance Simulation Results.
In: Perino, Marco and Corrado, Vincenzo, (eds.)
Energy Procedia.
(pp. pp. 567-572).
Elsevier: Torino, Italy.
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Abstract
Occupancy patterns in building performance simulation are typically represented via fixed diversity profiles. More recently, stochastic models have been developed to generate random non-repeating occupancy profiles. In this context, an important question concerns the implications of occupancy modelling approaches for simulation results. The present contribution involves a virtual office building for which annual and peak heating and cooling demands are simulated. Thereby, both conventional and random profiles are deployed and different levels of occupants' interaction with building systems are modelled. For the specific case considered here, the results do not show a noticeable difference between conventional and stochastic occupancy models.
Type: | Proceedings paper |
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Title: | Exploring the Implications of Different Occupancy Modelling Approaches for Building Performance Simulation Results |
Event: | 6th International Building Physics Conference (IBPC 2015) |
Location: | Torino, ITALY |
Dates: | 14 Jun 2015 - 17 Jun 2015 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1016/j.egypro.2015.11.737 |
Publisher version: | http://doi.org/10.1016/j.egypro.2015.11.737 |
Language: | English |
Additional information: | © 2015 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
Keywords: | Stochastic occupancy models, typical fixed schedules, annual and peak heating and cooling demand |
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/10165928 |
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