Research On Mechanism Modeling And Condition Optimization For Compression Process Of Biomass Compound Coal

Combustion of fossil fuels, especially coal, is and will probably continue to be an important part of the heat and power production systems of the world. However, the utilization of coal caused serious environmental impact. It is very imperative to use coal cleanly and sustainably. Biomass compression molding technology has solved the loose, transportation and storage of biomass, can be used in industrial and agricultural production and living areas instead of coal.Biomass Compound Coal obtained the fast development as a transition energy mixed coal and biomass energy.It has the advantages of coal and biomass fuels, it has characteristics of easy to fire, less smoke, burning speed, low ash content and fast temperature rising, and also can inhibit the sulfurous acid gas generation by adding desulfurizing agent, BCC become a kind of clean coal technology.Related experiments show that the calorific value of BCC is a little more than the simple algebra addition of biomass and coal. Therefore, BCC is alternative energy source which has development prospect.The main purpose of this paper studies is to find a suitable compression molding condition, in this condition, the performance index of BCC (calorific value, compressive strength, volatile points, solid sulfur rate, etc) can achieve a more ideal state, which provides theoretical guidance for the high quality of the actual production of BCC.By consulting a large number of domestic and foreign relevant literature material, to determine the main influence factors of the performance indexes of BCC, After the experimental data normalization, choosing RBF kernel function to establish the least square support vector machine (SVM) model of compression molding process of cow muck, wood chip, rice mixed coal respectively, and genetic algorithm is embedded into the least square support vector machine to realize the optimization of model parameters, and verified the feasibility and effectiveness of the model. Through calculation, the model can be effectively simulation actual characteristics of compression molding process of the three BCC.Multi-objective optimal objective function of compression molding process condition of the three BCC was established based on the modeling, and genetic algorithm was used for the molding process optimization, then got the Pareto optimal solution set.To propose tentatively engineering index reference range of BCC combined with standard of honeycomb briquets and solid straw briquette fuel, Then according to the reference standards and relevant selection conditions, selecting the effective solution again from Pareto optimal solution, this three BCC can get the best performance indicators. Each group of solution is the optimal solution. During the actual operation process, we should choose suitable efficient solution according to different working conditions.