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

DOI Web Site 参考文献5件
  • 高根 裕貴
    泰成株式会社/信州大学大学院総合医理工学研究科総合理工学専攻
  • 高村 秀紀
    信州大学工学部建築学科信州大学先鋭領域研究群山岳科学研究所

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

抄録

<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>

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