老人ホームにおける深夜電力を使用した潜熱・顕熱蓄熱材併用型電気床暖房の予測制御に関する研究 : その2 ファジィ・ニューラルネットワーク融合モデルによる投入熱量の予測

概要

論文の詳細を見る
For the economical operations of the floor heating system that constructed of latent/sensible heat storage materials using off-peak electricity, we analyzed the prediction control system of the required thermal energy of the early spring by using fuzzy inference in a building ofM aged facility. Next, we carried out study of Neural network by using result that was obtained by simulation that the performance of the system is evaluated. And we obtained the following results. (1) We presumed the stored thermal quantity of latent heat storage material by studying of Neural network by using actual values. And we derived the control system of the required thermal energy including usage of latent heating storage material on the melting way. (2) We constructed the fuzzy-neural network model corresponding to outdoor mean temperature for the floor heating system constructed of heat storage materials.
社団法人日本建築学会の論文
1997-11-30