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Measured internal temperatures in UK homes: a time series analysis and modelling approach

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posted on 08.03.2016, 14:45 authored by Argyris Oraiopoulos, Tom Kane, Steven FirthSteven Firth, Kevin LomasKevin Lomas
This paper presents an analysis of internal air temperatures measured hourly in the living rooms of 230 domestic buildings in the city of Leicester, UK. Time series analysis is used to identify the mechanisms that shape room temperatures, during the summertime period of July and August, in rooms that are neither mechanically heated nor cooled, and to develop empirical models of room temperatures for use in predicting future temperatures based on past measured values and on future weather conditions. Such models can enable overheating risk alerts for homeowners and public authorities to be more accurately estimated and targeted.

Funding

This research was made possible by the support from the Engineering and Physical Sciences Research Council (EPSRC) for the London -Loughborough Centre for Doctoral Research in Energy Demand (grant EP/H009612/1). The 4M consortium was funded by the Engineering and Physical Sciences Research Council (EPSRC) under their Sustainable Urban Environment programme (grant EP/F007604/1).

History

School

  • Architecture, Building and Civil Engineering

Published in

Energy Procedia

Volume

78

Pages

2844 - 2850

Citation

ORAIOPOULOS, A. ... et al., 2015. Measured internal temperatures in UK homes: a time series analysis and modelling approach. Energy Procedia, 78, pp. 2844-2850.

Publisher

© The Authors. Published by Elsevier

Version

VoR (Version of Record)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2015

Notes

This is an Open Access Article. It is published by Elsevier under the Creative Commons Attribution 4.0 Unported Licence (CC BY-NC-ND). Full details of this licence are available at: http://creativecommons.org/licenses/by-nc-nd/4.0/

ISSN

1876-6102

Language

en