A neural-fuzzy based inferential sensor for improving the control of boilers in space heating systems

  • Authors:

  • Zaiyi Liao

  • Affiliations:

  • Dept. of Architectural Science, Ryerson University, Toronto, Ontario, Canada

  • Venue:
  • ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part III
  • Year:
  • 2005

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Abstract

Conventionally the boilers in space heating systems are controlled by open-loop control systems due to the absence of a practical method for measuring the overall thermal comfort level in the building. This paper describes a neural-fuzzy based inferential sensor that can be used to design close-loop boiler control schemes. Both simulation and experimental results show that the proposed technique results in significant energy saving and improvement on the control of thermal comfort in the built environment. The paper also describes the ongoing and future work.