DOI QR코드

DOI QR Code

A Experimental Study on the Application of GRNN for On-Off Control in Floor Radiant Heating System

바닥복사 난방시스템의 개폐식 제어에 대한 GRNN 적용에 관한 실험적 연구

  • Song, Jae-Yeob (Department of Building Equipment System Engineering, Yuhan University) ;
  • Ahn, Byung-Cheon (Department of Mechanical Engineering, Gachon University)
  • 송재엽 (유한대학교 건축설비공학과) ;
  • 안병천 (가천대학교 기계공학과)
  • Received : 2020.09.24
  • Accepted : 2020.10.23
  • Published : 2020.12.01

Abstract

In this study, the control characteristics and effects of control methods on heating performance and energy consumption for the hot water floor radiant heating control system of a residential apartment were research by experiment. As a control method, On-Off control and outdoor reset control methods with GRNN(General Regression Neural Network) and without GRNN are considered. Also, the control performances with regard to improvement of indoor thermal environment and reduction of energy consumption are compared, respectively. Experiment results show that the performance of the control method with GRNN is better than that of conventional on-off control method without GRNN in the responses of room set temperature and energy saving.

Keywords

References

  1. MacCluer, C. R., 1989, The control of radiant slabs, ASHRAE J., September, pp. 28-33.
  2. B. C. Ahn and J. Y. Song, 2010, Control characteristics and heating performance analysis of automatic thermostatic valves for radiant slab heating system in residential apartments, Energy 35, pp. 1615-1624. https://doi.org/10.1016/j.energy.2009.11.007
  3. Matthias M. Bauer, 1995, General Regression Neural Network, GRNN, Master Thesis, University of Wisconsin-Madison, USA.
  4. J. Y. Song and B. C. Ahn, 2012, A Study on GRNN Control Strategies for Floor Radiant Heating System in Residential Apartments, Journal of Air-Conditioning and Refrigeration Engineering, Vol 24, No. 12, pp. 830-836. https://doi.org/10.6110/KJACR.2012.24.12.830
  5. D. F. Specht, 1991, A general regression neural network, IEEE Transactions on Neural Networks, pp. 568-571.
  6. T. W. Lee and Y. K. Kim, 2004, A study on the optimal operation plan of district heating type apartment houses with SM-valve installed, Korea institute of civil engineering and building technology, Korea.