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An approach for building occupancy modelling considering the urban context

journal contribution
posted on 14.07.2020 by Huiqiao Hou, Jacek Pawlak, Aruna Sivakumar, Bianca Howard, John Polak
Building occupancy, which reflects occupant presence, movements and activities within the building space, is a key factor to consider in building energy modelling and simulation. Characterising complex occupant behaviours and their determinants poses challenges from the sensing, modelling, interpretation and prediction perspectives. Past studies typically applied time-dependent models to predict regular occupancy patterns for commercial buildings. However, this prevalent reliance on purely time-of-day effects is typically not sufficient to accurately characterise the complex occupancy patterns as they may vary with building’s surrounding conditions, i.e. the urban environment. Therefore, this research proposes a conceptual framework to incorporate the interactions between urban systems and building occupancy. Under the framework, we propose a novel modelling methodology relying on competing risk hazard formulation to analyse the occupancy of a case study building in London, UK. The occupancy profiles were inferred from the Wi-Fi connection logs extracted from the existing Wi-Fi infrastructure. When compared with the conventional discrete-time Markov Chain Model (MCM), the hazard-based modelling approach was able to better capture the duration dependent nature of the transition probabilities as well as incorporate and quantify the influence of the local environment on occupancy transitions. The work has demonstrated that this approach enables a convenient and flexible incorporation of urban dependencies leading to accurate occupancy predictions whilst providing the ability to interpret the impacts of urban systems on building occupancy.

Funding

F-Tec: Flexibile timing of Energy Consumption in communities : EP/S001670/1

China Scholarship Council

Imperial College London

Engineering and Physical Sciences Research Council (EPSRC) Programme Grants [grant number EP/R045518/1]

History

School

  • Architecture, Building and Civil Engineering

Published in

Building and Environment

Volume

183

Pages

107126

Publisher

Elsevier

Version

AM (Accepted Manuscript)

Rights holder

© Elsevier Ltd

Publisher statement

This paper was accepted for publication in the journal Building and Environment and the definitive published version is available at https://doi.org/10.1016/j.buildenv.2020.107126.

Acceptance date

10/07/2020

Publication date

2020-07-31

Copyright date

2020

ISSN

0360-1323

Language

en

Depositor

Dr Bianca Howard. Deposit date: 10 July 2020

Article number

107126

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