Optimal Design Of Regenerator Structure Of FY Company’s Float Glass Melting Furnace Oriented To Energy Conservation

Glass production is a high energy consumption industry.The energy consumption per unit of glass production in my country is much higher than that in developed countries,and its energy-saving and consumption-reducing technologies still need to be further improved.In the glass production process,the glass melting furnace regenerator is an important equipment for energy exchange,and the improvement of its work efficiency can greatly reduce the unit energy consumption of glass production.This paper takes the glass production of FY company as the research object,and optimizes the design of its glass melting furnace outdoor wall and lattice structure parameters to improve the thermal efficiency and lattice body performance of the regenerator,so as to achieve the purpose of energy saving and consumption reduction.The subsequent design of the regenerator provides a reference.The specific process is as follows:This article first analyzes and studies the structure and working principle of the outdoor wall and lattice structure of the FY glass melting furnace.The thermal efficiency index of the regenerator and the performance index of the grid body are established respectively,which are the optimization goals.This article then uses the response surface method to optimize the outdoor wall and lattice structure of the heat storage.The response surface method first obtains the experimental points used to establish the regression equations of variable factors and response values through the central combination design,selects the thermal efficiency index and the lattice performance index of the outdoor heat storage wall as the response value,and the structural parameters of the outdoor heat storage wall and the lattice body are used as the response value.Variable factors.Due to the large number of experimental points,numerical simulation is used to obtain experimental point data under different variable parameter combinations.Then the dendritic network is used to obtain the regression equation,and the multi-objective optimization function of variable parameters and response values is constructed.Through the regression equation of variable factors and response values,the influence of the height-to-width ratio,length-to-width ratio of the outdoor wall of the regenerator and the inlet length-to-width ratio of the small furnace on the heat recovery efficiency and outlet temperature of the regenerator of the glass melting furnace is analyzed;the grid body is analyzed.The influence of thickness,grid hole diameter,groove width and groove depth on the Nusselt coefficient,friction resistance coefficient and comprehensive heat transfer performance.Finally,this paper uses the non-dominant genetic algorithm NSGAⅢ to solve the multi-objective optimization function of the outdoor wall and lattice of the thermal storage,obtain the corresponding optimal Pareto solution set,and compare and analyze the structure before optimization.The outlet temperature of the optimized regenerator is reduced,and the heat storage efficiency is improved.The heat transfer and flow performance of the optimized lattice body have been enhanced,and the comprehensive heat transfer performance has been significantly improved.The optimization of the structure of the regenerator has achieved the expected energy-saving effect.