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CONTROL OF A SIMULATED DUAL-TEMPERATURE HYDRONIC SYSTEM USING A NEURAL NETWORK APPROACH.

Author(s) : DING Y., WONG K. V.

Summary

THE HYDRONIC SYSTEM USES WATER AS THE WORKING MEDIUM TO PROVID E HEATING AND COOLING SIMULTANEOUSLY TO A PROCESS PLANT. THE OPERATION CONSISTS OF TEMPERATURE SETUP AND CONTROL, AND IT IS ACCOMPLISHED BY ADJUSTING THE 15 VALVES ON THE LINE. A NEURAL NETWORK-BASED EXPERT SYSTEM WAS DEVELOPED TO SIMULATE SUCH AN OPERATION. IT CONSISTS MAINLY OF 2 SUB-SYSTEMS, ONE FOR TEMPERATURE SETUP, THE OTHER FOR TEMPERATURE CONTROL. THE NEURAL NETWORK WAS TRAINED WITH THERMAL DEMANDS AS INPUTS AND VALVE ADJUSTMENT AS OUTPUTS. THE TRAINING FACTS WERE GIVEN BY THERMODYNAMIC CONSIDERATIONS.

Details

  • Original title: CONTROL OF A SIMULATED DUAL-TEMPERATURE HYDRONIC SYSTEM USING A NEURAL NETWORK APPROACH.
  • Record ID : 1992-0748
  • Languages: English
  • Publication date: 1990
  • Source: Source: ASHRAE Trans.
    vol. 96; n. 2; 727-732; 7 fig.; 1 tabl.; 16 ref.; append.; discuss.
  • Document available for consultation in the library of the IIR headquarters only.

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