Modelling the passive thermal response of a building using sparse BMS data

Gordon Lowry and Man-Wai Lee

Applied Energy, 2004, vol. 78, issue 1, 53-62

Abstract: This paper describes the application of system identification to the thermal response of a conventional office space using data collected from an existing building management system. Autoregressive models are estimated and it is found that the output-error model provides the best fit between simulated and measured internal-air temperature data. The inclusion of electricity consumption data improves the fit for all model structures used, though this is evidently not modelled as providing a simple internal heat-gain. The model error is comparable with that reported for models validated in laboratory test rooms, but without the use of full instrumentation.

Keywords: Autoregressive; model; Thermal; response; Building-management; system (search for similar items in EconPapers)
Date: 2004
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Citations: View citations in EconPapers (1)

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