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A state space modeling approach and subspace identification method for predictive control of multi-zone buildings with mixed mode cooling.

Number: pap. 3636

Author(s) : HU J., KARAVA P.

Summary

The paper presents a control-oriented modeling approach for multi-zone buildings with mixed-mode (MM) cooling that incorporates their mode switching behavior. A forward state-space representation with time-varying system matrices is presented and used for establishing a detailed prediction model of a multi-zone MM building. The linear time-variant state-space (LTV-SS) model, which is considered as a true representation of the building, is used for developing data-driven linear time-invariant state-space models based on the subspace identification algorithm. The simplified black-box model can successfully capture the switching behavior of the MM building with the RMSE of 0.64°C.

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Pages: 11 p.

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Details

  • Original title: A state space modeling approach and subspace identification method for predictive control of multi-zone buildings with mixed mode cooling.
  • Record ID : 30013635
  • Languages: English
  • Source: 2014 Purdue Conferences. 3rd International High Performance Buildings Conference at Purdue.
  • Publication date: 2014/07/14

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