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Developing suitable thermal models for domestic buildings with Smart Home equipment-BSO2014.pdf (447.38 kB)

Developing suitable thermal models for domestic buildings with Smart Home equipment

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conference contribution
posted on 2014-09-25, 08:45 authored by Vanda DimitriouVanda Dimitriou, Steven FirthSteven Firth, Tarek HassanTarek Hassan, Tom Kane, Farid Fouchal
Smart Home controls are part of a Smart Home system and allow remote and automated control of heating systems. The key research question is: with the rapid advancement of new wireless and networked control products, which thermal modelling techniques are able to best make use of the real-time performance data arising from in-home sensors and predict the impact of using advanced controls to reduce energy demand and maximise comfort? As part of identifying suitable modelling approaches for Smart Homes, a lumped parameter model which builds on the work done by Bacher and Madsen (2011) using a data-driven “Grey box” model has been developed. The potential for using the measured data and the impacts of advanced controls for this modelling technique are discussed.

History

School

  • Architecture, Building and Civil Engineering

Published in

Building Simulation Optimisation 2014

Pages

1 - 8 (8)

Citation

DIMITRIOU, V. ... et al, 2014. Developing suitable thermal models for domestic buildings with Smart Home equipment. IN: Malki-Epsthein, L. ... et al (eds). Proceedings of the 2014 Building Simulation and Optimization Conference, 23-24 June 2014, UCL, London, UK, 8pp.

Publisher

The Bartlett, UCL Faculty of the Built Environment Institute for Environmental Design and Engineering (© IBPSA-England)

Version

  • AM (Accepted Manuscript)

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

2014

Notes

This is a conference paper.

ISBN

9780993013706

Language

  • en

Location

London

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