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

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  • Lowry, Gordon
  • Lee, Man-Wai

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.

Suggested Citation

  • Lowry, Gordon & Lee, Man-Wai, 2004. "Modelling the passive thermal response of a building using sparse BMS data," Applied Energy, Elsevier, vol. 78(1), pages 53-62, May.
    • Handle: RePEc:eee:appene:v:78:y:2004:i:1:p:53-62
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    Cited by:

    1. Afroz, Zakia & Shafiullah, GM & Urmee, Tania & Higgins, Gary, 2018. "Modeling techniques used in building HVAC control systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 83(C), pages 64-84.

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