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Modeling and predictive control of high performance buildings with distributed energy generation and thermal storage.

Number: pap. 3641

Author(s) : LI S., KARAVA P.

Summary

The paper explores integration approaches of photovoltaic-thermal systems coupled with corrugated transpired solar collectors (building-integrated photovoltaic-thermal, BIPV/T), Heating, Ventilation and Air Conditioning (HVAC) systems and thermal storage devices, to enable optimal collection and utilization of solar energy in high performance buildings. An open plan office space at Purdue’s Living Lab is used as a test-bed, in which the BIPV/T system preheats ventilation air, while also, it is coupled with the building through an air-to-water heat pump and a thermal energy storage (TES) tank that serves as the heat source for the radiant floor heating (RFH). A detailed energy prediction model developed in TRNSYS is considered as a true representation of the building and it is used to identify the parameters of a low-order linear time-invariant state-space model. A simulation study using TMY3 data for West Lafayette, IN during the heating period shows that implementation of a deterministic MPC algorithm for the optimal set-point trajectory of the TES tank results in significant energy savings.

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Pages: 10 p.

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Details

  • Original title: Modeling and predictive control of high performance buildings with distributed energy generation and thermal storage.
  • Record ID : 30013803
  • Languages: English
  • Subject: Environment
  • Source: 2014 Purdue Conferences. 3rd International High Performance Buildings Conference at Purdue.
  • Publication date: 2014/07/14

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