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http://dx.doi.org/10.17664/ksgee.2020.16.4.016

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

Song, Jae-Yeob (Department of Building Equipment System Engineering, Yuhan University)
Ahn, Byung-Cheon (Department of Mechanical Engineering, Gachon University)
Publication Information
Journal of the Korean Society for Geothermal and Hydrothermal Energy / v.16, no.4, 2020 , pp. 16-23 More about this Journal
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
Floor radiant heating system; General regression neural network; On-Off control; Control performance;
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  • Reference
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