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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/20501

Title: Data-driven simple thermal models: The radiator - gas consumption model
Authors: Dimitriou, Vanda
Firth, Steven K.
Hassan, Tarek M.
Kane, Tom
Coleman, Michael
Issue Date: 2015
Publisher: IBPSA
Citation: DIMITRIOU, V. ...et al., 2015. Data-driven simple thermal models: The radiator - gas consumption model. Presented at the 14th International Conference of the International Building Performance Simulation Association, Hyderabad, India, Dec 7-9th
Abstract: A simple data-driven Lumped Parameter thermal model is developed linking the radiator surface temperature to the whole house gas consumption using operational data collected from a real house. The indoor room air temperatures, the radiator surface temperatures and the whole house gas consumption are used as input data. The model parameters are estimated using the Ordinary Least Squares technique. Results show that an improved fit can be achieved by excluding data points for which gas consumption is being used for purposes other than space heating using a lower threshold (Tr,pred-Tr,meas) of 1oC during the model calibration. Finally, the model is applied to disaggregate the gas consumption data that are linked to space heating from the original whole house gas consumption at half -hourly intervals.
Description: 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: Accepted for publication
URI: https://dspace.lboro.ac.uk/2134/20501
Publisher Link: http://www.bs2015.in/index.php
Appears in Collections:Conference Papers and Presentations (Architecture, Building and Civil Engineering)

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