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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/17106

Title: Four-state domestic building occupancy model for energy demand simulations
Authors: McKenna, Eoghan
Thomson, Murray
Krawczynski, Michal
Issue Date: 2015
Publisher: © Elsevier
Citation: MCKENNA, E., THOMSON, M. and KRAWCZYNSKI, M., 2015. Four-state domestic building occupancy model for energy demand simulations. Energy and Buildings, 96, pp.30-39.
Abstract: Stochastic building occupancy models are increasingly used to underpin building energy demand models, especially those providing high-resolution electricity demand profiles. This paper describes the development of an established two-state active-occupancy model into a four-state model in which the absent/present state and the active/inactive state are treated separately. This provides a distinction between sleeping and absence and so offers an improved basis for demand modelling, particularly high-resolution thermal modelling. The model uses a first-order Markov chain technique and the paper illustrates the value of this approach in duly representing the naturally occurring correlation of occupancy states in multiply occupied dwellings. The paper also describes how the model has been enhanced to avoid under-representation of dwellings with 24 h occupancy. The model has been implemented in Excel VBA and made available to download for free. The model is constructed from and verified against UK time-use survey data but could readily be adapted to use similar data from elsewhere
Description: This is an Open Access Article. It is published by Elsevier as Open Access at: http://dx.doi.org/10.1016/j.enbuild.2015.03.013
This paper describes the development and verification of the new four-state occupancy model. The model has been developed as a Microsoft Excel workbook and has been made available at: https://dspace.lboro.ac.uk/2134/15726
Sponsor: This work was supported by the Engineering and Physical Sciences Research Council, UK, within the Top and Tail of Energy Networks project [EP/I031707/1].
Version: Published
DOI: 10.1016/j.enbuild.2015.03.013
URI: https://dspace.lboro.ac.uk/2134/17106
Publisher Link: http://dx.doi.org/10.1016/j.enbuild.2015.03.013
Appears in Collections:Published Articles (CREST)
Published Articles (Mechanical, Electrical and Manufacturing Engineering)

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