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Title: Occupant behaviour modelling in domestic buildings: the case of household electrical appliances
Authors: Yilmaz, Selin
Firth, Steven K.
Allinson, David
Keywords: Appliance behaviour
Occupant behaviour
Household electrical appliances
Stochastic modelling
Data-driven modelling
Bottom-up modelling
Issue Date: 2017
Publisher: Informa UK Limited, trading as Taylor & Francis Group (© the authors)
Citation: YILMAZ, S., FIRTH, S.K. and ALLINSON, D., 2017. Occupant behaviour modelling in domestic buildings: the case of household electrical appliances. Journal of Building Performance Simulation, 10(5-6), pp.582-600.
Abstract: This paper presents a new approach to bottom-up stochastic occupant behaviour modelling for predicting the use of household electrical appliances in domestic buildings. Three metrics relating to appliance occupant behaviours are defined: the number of switch-on events per day, the switch-on times, and the duration of each appliance usage. The metrics were calculated for 1,076 appliances in 225 households from the UK Government’s Household Electricity Survey carried out in 2010-2011. The analysis shows that occupant behaviour varies substantially between households, across appliance types and over time. The new modelling approach improves on previous approaches by using a three step process where the three appliance occupant behaviour metrics are simulated respectively using stochastic processes to capture daily variations in appliance occupant behaviour. It uses probability and cumulative density functions based on individual households and appliances which are shown to have advantages for modelling the variations in appliance occupant behaviours.
Description: This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Sponsor: This research was made possible by Engineering and Physical Sciences Research Council (EPSRC) support for the London-Loughborough Centre for Doctoral Research in Energy Demand (Grant EP/H009612/1).
Version: Published
DOI: 10.1080/19401493.2017.1287775
URI: https://dspace.lboro.ac.uk/2134/24137
Publisher Link: http://dx.doi.org/10.1080/19401493.2017.1287775
ISSN: 1940-1493
Appears in Collections:Published Articles (Architecture, Building and Civil Engineering)

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