PREDICTIVE CONTROL BY NEURAL NETWORK OF HOT-WATER FLOOR HEATING SYSTEM WITH SHEET PHASE CHANGE MATERIAL INTO THE FLOOR OF RC APARTMENT HOUSE.

DOI Web Site 5 References
  • TAKANE Yuki
    Taisei Co.,Ltd. / Faculty of Eng., Shinshu University.
  • TAKAMURA Hideki
    Dept. of Architecture, Faculty of Engineering, Shinshu University and Institute of Mountain Science, Interdisciplinary Cluster Research, Shinshu University

Bibliographic Information

Other Title
  • RC造共同住宅の床面にシート状潜熱蓄熱材を組み込んだ温水式床暖房のニューラルネットワークによる予測制御に関する研究

Abstract

<p>Assuming the use of excess daytime electricity, we built and verified a model that can predict, using neural network, how to control a floor heating system with PCM installed during the daytime to reduce nighttime electricity consumption while still providing a comfortable temperature range. The results confirmed the effectiveness of PCM in reducing floor surface temperature and room temperature, and showed that it can be predicted more accurately than multiple regression analysis by ANN. In addition, it was suggested that excess electricity during the daytime could be utilized to reduce CO2 emissions.</p>

Journal

References(5)*help

See more

Keywords

Details 詳細情報について

Report a problem

Back to top