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Overheating in English dwellings: comparing modelled and monitored large-scale datasets

Symonds, P; Taylor, J; Mavrogianni, A; Davies, M; Shrubsole, C; Hamilton, I; Chalabi, Z; (2017) Overheating in English dwellings: comparing modelled and monitored large-scale datasets. Building Research and Information , 45 (1-2) pp. 195-208. 10.1080/09613218.2016.1224675. Green open access

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Abstract

Monitoring and modelling studies of the indoor environment indicate that there are often discrepancies between simulation results and measurements. The availability of large monitoring datasets of domestic buildings allows for more rigorous validation of the performance of building simulation models derived from limited building information, backed by statistical significance tests and goodness-of-fit metrics. These datasets also offer the opportunity to test modelling assumptions. This paper investigates the performance of domestic housing models using EnergyPlus software to predict maximum daily indoor temperatures over the summer of 2011. Monitored maximum daily indoor temperatures from the English Housing Survey’s (EHS) Energy Follow-Up Survey (EFUS) for 823 nationally representative dwellings are compared against predictions made by EnergyPlus simulations. Due to lack of information on the characteristics of individual dwellings, the models struggle to predict maximum temperatures in individual dwellings and performance was worse on days when the outdoor maximum temperatures were high. This research indicates that unknown factors such as building characteristics, occupant behaviour and local environment makes the validation of models for individual dwellings a challenging task. The models did, however, provide an improved estimate of temperature exposure when aggregated over dwellings within a particular region.

Type: Article
Title: Overheating in English dwellings: comparing modelled and monitored large-scale datasets
Open access status: An open access version is available from UCL Discovery
DOI: 10.1080/09613218.2016.1224675
Publisher version: http://dx.doi.org/10.1080/09613218.2016.1224675
Language: English
Additional information: Copyright © 2016 Taylor & Francis. All rights reserved. This is an Accepted Manuscript of an article published by Taylor & Francis in Building Research & Information on 19 September 2016, available online: http://www.tandfonline.com/ 10.1080/15384101.2016.1164579
Keywords: Building information modelling (BIM), building performance, EnergyPlus, housing stock, occupant behaviour, overheating, simulation, validation
UCL classification: UCL
UCL > Provost and Vice Provost Offices
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/1516098
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