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A Study on GRNN Control Strategies for Floor Radiant Heating System in Residential Apartments

공동주택 바닥복사 난방시스템의 GRNN 제어 적용에 관한 연구

  • Song, Jae-Yeob (Department of Building Equipment System Engineering, Gachon University) ;
  • Ahn, Byung-Cheon (Department of Building Equipment System Engineering, Gachon University)
  • 송재엽 (가천대학교 건축설비공학과 대학원) ;
  • 안병천 (가천대학교 건축설비공학과)
  • Received : 2012.09.14
  • Published : 2012.12.10

Abstract

In this study, the effects of heating control methods on heating control performance and energy consumption in the floor radiant heating control system of residential apartments were research by computer simulation. A general regression neural network(GRNN) control method for reducing indoor temperature overshoot and saving energy in floor radiant heating system is suggested. The GRNN control method shows good responses in comparison with the conventional and outdoor reset control methods for improving indoor thermal environment and reducing energy consumption.

Keywords

References

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Cited by

  1. A Study on the Operational Strategies for Outdoor Air Temperature Change Characteristics in a Radiant Floor Heating System vol.25, pp.12, 2013, https://doi.org/10.6110/KJACR.2013.25.12.685