1-05　ニューラルネットワークを用いたDistributed Activation Energy Modelの速度論的パラメータの算出方法の提案とコークスのガス化反応の予測への適用可能性

抄録

The distributed Activation Energy Model (DAEM) is widely used for the analysis of pyrolysis or gasification of coal and coke. We proposed an estimation method of kinetic parameters in DAEM using a neural network. For validation, the kinetic parameters were estimated by applying the proposed method and the conventional method to the experimental data of CO₂ gasification of coke. In addition, the obtained kinetic parameters were used to predict progress on the conversion of coke, and the prediction accuracy was compared between the proposed method and the conventional method. As a result, the prediction accuracy of the proposed method was higher than that of the conventional method.