ヒートポンプ蓄熱システムの運転支援 : ニューラルネットワークに基づく手法の構築とその検証

概要

論文の詳細を見る
An operational advisory method is proposed for a heat pump/thermal storage system. The daily operational strategy of thermal storage tanks is determined by a layered neural network, which receives off-line education to minimize differences from the optimal strategy. The hourly operational strategy of constituent equipment is designed to minimize the hourly operational cost, based on the daily operational strategy of thermal storage tanks. The constituent equipment is operated on the basis of the determined strategy. A simulation model is developed to investigate the effects of the proposed method on the operational strategy and cost. Simulation results show that the proposed method is a useful tool for rational operation from an economic viewpoint.
一般社団法人日本機械学会の論文
1995-10-25