学校建築における深夜電力を利用した潜熱蓄熱式床暖房の予測制御法に関する研究

概要

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For the economical operation of the latent floor-heating storage system using off-peak electricity equipped in a school building, we predicted the required thermal energy in a classroom using fuzzy inference. And we examined them and obtained the following results. (1) We derived the multi-regression equation and predicted the necessary hours to supply electric power with a high accuracy. (2) The next day's indoor mean temperature was approximately estimated by fuzzy set of heat load of storage material. (3) The operation became more simple by using the possibility presumption model of outdoor mean temperature for prediction.
社団法人日本建築学会の論文
1995-03-30