A new hybrid modeling and optimization algorithm for improving carbon efficiency based on different time scales in sintering process
Zhou K, Chen X, Wu M and Cao W
Control Engineering Practice 91: 104104.2019
China
This paper introduces an optimization method for carbon efficiency based on an intelligent multiple time-scale model, which is able to optimize process variables in both long and short time scales. As the comprehensive carbon ratio (CCR) and the ratio between CO and CO2 in exhaust gas (CO/CO2) are taken as the carbon efficiency indexes, a predictive model consisting of two sub-models is developed, one for predicting the state variables with a single neural network (NN), and the other for predicting carbon efficiency indexes with a linear combination of NNs. Then a multi-objective, multi-time-scale optimization framework is designed, which is able to optimize carbon efficiency in two time scales, according to the optimization variables available encountered at different operation periods.
https://www.sciencedirect.com/science/article/abs/pii/S0967066119301194