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Exploring the Implications of Different Occupancy Modelling Approaches for Building Performance Simulation Results

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. Green open access

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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
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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