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Economic model predictive control for variable refrigerant flow heat recovery systems.

Number: pap. 2125

Author(s) : LENHARDT B. M., ELLIS M. J.

Summary

Variable refrigerant flow (VRF) systems are in a unique position to be combined with economic model predictive control (MPC) in order to reap significant cost saving benefits. In buildings that are subject to variable utility pricing, it is feasible to use the building mass to shift a portion of the heating or cooling load from the high priced (peak) period to a lower priced (off-peak) period. A non-linear optimization approach is applied to VRF heat recovery systems in order to determine the optimal heat/cooling loads and temperature setpoints over the horizon. Simulation of a commercial building shows annual heating, ventilation and air conditioning energy and cost savings of 22% and 25% (respectively).

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Pages: 8

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Details

  • Original title: Economic model predictive control for variable refrigerant flow heat recovery systems.
  • Record ID : 30024407
  • Languages: English
  • Source: 2018 Purdue Conferences. 17th International Refrigeration and Air-Conditioning Conference at Purdue.
  • Publication date: 2018/07/09

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