| Title |
A Study on GRNN Control Strategies for Floor Radiant Heating System in Residential Apartments |
| Authors |
송재엽(Jae-Yeob Song) ; 안병천(Byung-Cheon Ahn) |
| DOI |
http://dx.doi.org/10.6110/KJACR.2012.24.12.830 |
| Keywords |
바닥복사 난방시스템 ; 일반화된 회귀 신경망 ; 외기보상제어 ; 난방제어성능 Floor radiant heating system ; General regression neural network ; Outdoor reset control ; Heating control performance |
| 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. |