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A supervisory controller for optimization of building central cooling systems.

Author(s) : GIBSON G. L.

Summary

A personal-computer-based supervisory controller is currently being demonstrated that works with a building's energy management and control system to optimize cooling equipment operation. The system provides decision support to determine when to operate central cooling equipment to minimize costs under real-time pricing or conventional time-of-use electric rates. An artificial neural network is used to model the dynamic behaviour of the building and energy equipment while an evolutionary-based search routine, a genetic algorithm, is used for optimization. A prototype system is installed and operating at a high school in southern California to control a thermal energy storage system, a conventional screw-type chiller, and a gas-fired, engine-driven chiller.

Details

  • Original title: A supervisory controller for optimization of building central cooling systems.
  • Record ID : 1998-1872
  • Languages: English
  • Source: ASHRAE Transactions.
  • Publication date: 1997
  • Document available for consultation in the library of the IIR headquarters only.

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