Research And Development On Combustion Optimization Software Of 1025t/h Boiler

In the report of the 11th Five-Year Plan for Energy Development, our country plan to decrease the coal consumption from 370g/kwh in 2005 to 355g/kwh in 2010,and reduce the power consumption from 5.9% in 2005 to 4.5% in 2010.The government always call on enterprise to save energy and reduce emission. To develop on-line system of combustion optimization based on artificial intelligence is one of the most direct and effective means to finish these tasks on time.The paper built the model which can reflect coupling relations between coal, the boiler operating parameters and boiler performance for the on-line system of combustion optimization. Then to use optimization algorithm get different optimized parameters. The paper gets data from field experiment on a utility boiler of 1025t/h, and build combustion optimization model based on the data. Then simulation of optimized the model used optimization algorithm. The paper uses the history data of the boiler to build the coupled model of coal-boiler performance.To build a software system of combustion optimization based on the two models in the previous section. The software has three functions: On-line monitoring module of wind and powder: The module monitors the parameters of wind and pulverized coal on-line. When the parameters are abnormal, the module will give an alarm and fault diagnosis. The module of combustion optimization on-line: the module give different optimized parameters when operation staff inputs different indicators which include economic,environmental and multi-objective. The evaluative module of coal-boiler performance: when burning coal remarkably changes, the system will give suggestion about operation.