A state space model for predicting and controlling the temperature responses of indoor air zones

A state space model for predicting and controlling the temperature responses of indoor air zones Indoor temperature distributions and air flows lead to the variation of local thermal comfort from place to place. To have more precise predictions and better control of the thermal conditions in the working zone where the room occupant sits and works, a both detailed and fast model of the dynamic indoor temperature distributions is needed. Unfortunately, very few papers studied such models due to the complexity of fluid (air) flows. This paper discusses a zonal model which is derived from computational fluid dynamics (CFD) and the output of a CFD code. The model is validated with experimental results. In order to design better control systems, the zonal model is transformed into a state space representation form. One example is given on how the state space model can be used for temperature predictions and more precise temperature controls. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Energy and Buildings Elsevier

A state space model for predicting and controlling the temperature responses of indoor air zones

Energy and Buildings, Volume 28 (2) – Oct 1, 1998

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Publisher
Elsevier
Copyright
Copyright © 1998 Elsevier Science S.A. All rights reserved.
ISSN
0378-7788
eISSN
1872-6178
D.O.I.
10.1016/S0378-7788(98)00021-8
Publisher site
See Article on Publisher Site

Abstract

Indoor temperature distributions and air flows lead to the variation of local thermal comfort from place to place. To have more precise predictions and better control of the thermal conditions in the working zone where the room occupant sits and works, a both detailed and fast model of the dynamic indoor temperature distributions is needed. Unfortunately, very few papers studied such models due to the complexity of fluid (air) flows. This paper discusses a zonal model which is derived from computational fluid dynamics (CFD) and the output of a CFD code. The model is validated with experimental results. In order to design better control systems, the zonal model is transformed into a state space representation form. One example is given on how the state space model can be used for temperature predictions and more precise temperature controls.

Journal

Energy and BuildingsElsevier

Published: Oct 1, 1998

References

  • Prediction of air temperature distribution in buildings with a zonal model
    Inard, C.

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