Prediction Model Of Ash Fouling At The Tail Of Coal-fired Boiler And Optimization Of Soot Blowing Strategy

In the process of boiler operation,pulverized coal combustion to convective fouling in heat transfer can not be blocked,the flue gas waste heat recycling,lead to overheating of the flue gas discharged into the atmosphere,so that the boiler can enter a serious loss.In order to improve the heat transfer,to achieve efficient operation of boiler soot blowing is an indispensable blowing traditional measures.The reaction was performed according to the condition of the boiler or some timetable.Sootblower operator with little or no fouling status information,often only based on experience or judgment according to the schedule of boiler blowing.Therefore,in order to alleviate the ash deposition caused by the heat transfer process is not balanced,the elimination of heat deviation and high.Low temperature corrosion The problem is that it is necessary to monitor the pollution situation and development trend of the metal pipe surface at the rear of boiler,and adopt effective soot blowing methodsThe ash boiler metal pipe is inevitable,slag pollution phenomenon,based on the data of Guizhou Qianxi power plant 24 h as the object,related fouling soft measurement,prediction and optimization of soft measurement monitoring ash fouling,was developed based on the rate of pollution prediction of intelligent gas pulse ash blowing system model is established firstly.Low temperature super heater,fouling monitoring model of economizer,the contamination rate of each component with characterization of the pollution situation,the boiler tail complex environment indirectly into visual charts;then for each component pollution,establishing prediction function,which is convenient for the operator to control the boiler running state and efficiency;finally in real time On the basis of monitoring software,developed a set of intelligent soot blowing control system platform,as a result of the intelligent judgment calculated on the basis of the system adopts the above model,the host computer as a medium to connect soft measurement model and soot blower,and the deflagration wave is used as the output..This paper establishes the pollution rate prediction model and the design of the intelligent soot blowing system,using a 300 MW boiler heat surface data simulation analysis,the analytical model,the objective analysis of ash formation rules,test the rationality prediction mechanism.In the operation of the unit is stable,the PC software according to the calculation results the fouling prediction model after the decision,the control unit directs soot blower blowing,in order to achieve the purpose of intelligent clean coal-fired boiler tail flue.The simulation results shows that the pulse soot blower system can be reasonably stable operation.The soot blowing system can correctly guide the gas pulse soot blower,and can effectivelysolve the problem of soot blowing in the tail flue of the boiler,thereby enhancing the safety,economy and sustainability of the coal-fired unit...