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Vanda Dimitriou
Vanda
Dimitriou
Steven Firth
Steven
Firth
Tarek Hassan
Tarek
Hassan
Tom Kane
Tom
Kane
Michael Coleman
Michael
Coleman
Data-driven simple thermal models: the importance of the parameter estimates
Loughborough University
2015
Parameter
Estimation
Dynamic
Thermal
Modelling
Lumped parameter
Model calibration
Ordinary least squares
Built Environment and Design not elsewhere classified
2015-11-03 11:02:46
Conference contribution
https://repository.lboro.ac.uk/articles/conference_contribution/Data-driven_simple_thermal_models_the_importance_of_the_parameter_estimates/9439205
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.