中文摘要：

煤泥流化床锅炉干法脱硫系统因成本低、脱硫效率较高而应用广泛。流化床锅炉的运行条件对脱硫效率具有重要影响,而脱硫剂的增加既会提高脱硫效率又会降低锅炉热效率,因此存在最佳操作条件。首先采用LSSVM建立了SO2浓度预测模型,并通过实际数据验证了模型的准确性和快速性。在此基础上,通过机理分析,建立了脱硫剂对锅炉热效率影响的全面准确模型。最后,以企业总体运行费用最低为目标,建立了总的操作优化目标函数。以SO2预测模型和锅炉热效率模型为基础,通过求解总的优化命题,得到了不同SO2浓度限制和不同SO2排放费用下的最佳锅炉操作条件。通过优化明显地降低了脱硫运行费用,提高了脱硫效率,对流化床锅炉干法脱硫系统具有重要的指导意义。

英文摘要：

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.