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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/19242

Title: Data-driven simple thermal models: the importance of the parameter estimates
Authors: Dimitriou, Vanda
Firth, Steven K.
Hassan, Tarek M.
Kane, Tom
Coleman, Michael
Keywords: Parameter
Estimation
Dynamic
Thermal
Modelling
Lumped parameter
Model calibration
Ordinary least squares
Issue Date: 2015
Publisher: © 2015 The Authors. Published by Elsevier Ltd.
Citation: DIMITRIOU, V. ... et al., 2015. Data-driven simple thermal models: The importance of the parameter estimates. Energy Procedia, 78, pp.2614-2619.
Abstract: A simple 1st order data-driven lumped parameter model of a domestic building is developed to explore the effect of using different model parameter values in the model outputs. The adequacy of the Ordinary Least Square estimation technique is explored. Results show that an improved fit to the measured data can be achieved by varying the initial model parameter values of capacitance (up to 78%), resistance (-46%) and effective window area (-59%). This highlights the importance of having a reference set of parameters based on the known physical characteristics of the building. Finally, the model residuals are deemed appropriate to inform the decision making process for further model development.
Description: This paper was also presented at the 6th International Building Physics Conference (IBPC2015), Turin,14-17th June. This is an Open Access Article. It is published by Elsevier under the Creative Commons Attribution 4.0 NonCommercial-NoDerivatives Licence (BY-NC-ND). Full details of this licence are available at: http://creativecommons.org/licenses/by-nc-nd/4.0/
Sponsor: This work has been carried out as part of the REFIT project (‘Personalised Retrofit Decision Support Tools for UK Homes using Smart Home Technology’, £1.5m, Grant Reference EP/K002457/1).
Version: Published
DOI: 10.1016/j.egypro.2015.11.322
URI: https://dspace.lboro.ac.uk/2134/19242
Publisher Link: http://dx.doi.org/10.1016/j.egypro.2015.11.322
ISSN: 1876-6102
Appears in Collections:Published Articles (Civil and Building Engineering)

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