Predictive Control of the Radiant Floor Heating System in Apartment Buildings

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概要

• 論文の詳細を見る

• The objective of this study is to improve the control performance of the radiant floor heating system in apartment buildings. For his, predictive control, which is simple and also compatible with the existing system, is suggested, and its performance is evaluated. The control system of radiant floor heating should be easily adapted to thermal mass characteristics and building load variations without complication in real application. In this study, predictive control using the ANN (Artificial Neural Network) model is proposed and the possibility of this predictive control is investigated through experimental research. The results show that performance of this predictive control is better than that of the current 2-position on/off control. Through the dynamic simulation analysis of the thermal mass model using a computer for the multi zones of a real apartment building, the adaptability of the predictive control to several load variations and thermal characteristics is evaluated.

• 社団法人日本建築学会の論文
• 2002-03-20

著者

• Lee Jin-young

  Division Of Mineral Materials Processing Kigam

• Lee Jin-young

  Hanil Mechanical & Electrical Consultants

• Kim Kwang-woo

  Department Of Architecture College Of Engineering Seoul National University

• Yeo Myoung-Souk

  Dept. of Architecture, School of Architecture, Landscape Architecture and Civil Eng., Sungkyunkwan U

• Yeo Myoung-souk

  Dept. Of Architecture School Of Architecture Landscape Architecture And Civil Eng. Sungkyunkwan Univ

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• Predictive Control of the Radiant Floor Heating System in Apartment Buildings

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