Dry desulphurization system of slurry fluidized bed boiler has wide range of applications for its low cost and high desulfurization efficiency.Since fluidized bed boiler operating conditions have important influence on the desulfurization efficiency

and the increased desulfurizer can improve the desulfurization efficiency while reduce the thermal efficiency of boiler

there exists optimal operating conditions.In this paper

the SO2 concentration prediction model was firstly built with LSSVM

and then the accuracy and fast performance of the model was verified.Secondly

a comprehensive and accurate model of boiler thermal efficiency affected by desulfurizer was established through mechanism analysis. Finally

according to minimizing the enterprise’s overall operating costs

a total objective function for operation optimization was built.Based on SO2 forecasting model and boiler thermal efficiency model

and by solving the overall optimization problem

the best boiler operating conditions under different SO2 concentration limits and different SO2 emission costs were obtained.Through the operation optimization

the cost of the desulfurization operation was significantly reduced

and the desulfurization efficiency can be significantly improved.What has done in this paper has important guiding significance on the optimal operation for the dry desulphurization system of fluidized bed boiler.