Research On Mechanism Analysis And Optimization Control Of Biomass Gasification Process

Biomass energy is the most abundant renewable resource on earth. Biomass gasification technology is to make the biomass energy into power through the gasification reaction principle, and it has good gasification reaction principle such as investment moderate, technical operability and clean. With the exhaustion of the fossil energy, environmental degradation, exploring the potential of biomass gasification power generation has become an international issue, and has attracted the universal attention by people.But there are still a lot of difficult problems to solve in the biomass energy-development and utilization by the main biomass gasification of the complexity of the reaction process decision. Some key problems such as low gasification gas calorific value, low gasification production rate, and low automatic control levels, have bad effect on gasification power ’s popularization and application.In this paper, gasification mechanism, gasification technology classification, and gasification equipment are illustrated according to the domestic and foreign research status of biomass gasification technology, based on these, the effect of material properties equivalence ratio, gasification pressure, catalyst addition and gasification temperature on the performance index of gasification process are analyzed. Combined with gasification experimental data under different conditions, the LS-SVM gasification process model is established. According to the characteristics of biomass gasification process, the relationship between control parameters is analyzed, and the corresponding control scheme is proposed too. On the basis of this model, the multi-objective optimization functions which is during control parameters (gasification temperature and CO/CO2) and gas heating value and H:is established, then it is used multi-objective genetic algorithm to optimize the objective functions, obtaining the optimum operation condition with high gas heating value and high Hb content. In the end. the optimal operating condition is feed in the input control system as given value, better control effect is obtained.