For realizing energy conservation and burdening optimization of sintering process in iron and steel enterprises, as to the predictive issues of energy consumption and performance indices, the Support Vector Machine for Regression (ε-SVR) was introduced into sintering production system. A general modeling mode was proposed and the predictive model of energy consumption and several performances like chemical compositions was established by history data of sintering. Then, this model was compared with several other methods such as multiple linear regressions, ELM, BPNN and RBFN in a case study. Results show that the ε-SVR method can achieve qualified prediction results rapidly with the best accuracy and time efficiency.
In this paper, a review of the control of fixed-bed reactors for biomass pyrolysis is presented, which is divided into several parts: the mechanism and identification modeling, model reduction methods and system parameter estimation and control methods of fixed-bed reactors etc. Fixed-bed reactors in chemical industry are much similar with those in biomass pyrolysis, so the control methods of fixed-bed reactors in chemical industry can be applied to biomass pyrolysis processes. As a result, some comments are given about control strategies in this field
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