| Cement industry is the key energy-consuming industries, cement clinker burning system isa major part of the energy consumption and as a coal-fired energy system, coal is burned toprovide the raw material decomposition and clinker burning required heat.Clinker coal consumption and thermal efficiency are key parameters in clinker burningsystem. Cement companies generally calculate the clinker coal consumption based on calcinercoal production, kiln coal production and clinker production, but the burning system thermalefficiency can not be obtained in real time and the pulverized coal utilization efficiency cannot be accurately calculated. Base on the problems that heat flow, the thermal efficiency andpulverized coal utilization efficiency of the clinker burning system can not be obtained in realtime, this paper conducted in-depth research on pulverized coal utilization efficiency of theclinker burning system.Firstly identified overall clinker burning system structure and the factors that affect thecoal efficiency. The factors that affect the coal efficiency include raw materials and fuelconditions, clinker control indicators, rationality of system design, the level of systemoperation and operating conditions and so on. From the point of view of heat, coal efficiencyanalysis was based on material balance and thermal equilibrium principle. The basic data arereal-time data from the industrial field including analysis of the chemical composition ofmaterials, coal industry analysis, quality parameters, pressure parameters, volume parameters,temperature parameters, flue gas composition parameters, the heat capacity parameters,density parameters, dust concentration parameters, surface cooling systems and otherparameters. Some parameters can be obtained directly from the site, but there are manyparameters that can not be obtained directly. In order to get these parameters that can not beobtained directly, we conduct many modeling algorithm or refer authoritative information tocalculate or estimate these parameters. Through calculating a series of data, we can get thewhole flow of materials and sizes, heat flow and burning system thermal efficiency.Through analysis on all aspects of the system heat flow,we found that the main heatsource is fuel combustion heat, the main heat whereabouts is hot clinker formation, preheaterexit gas sensible heat and waste heat boiler inlet AQC sensible heat. Fuel combustion heat is related to coal flow and coal calorific. Due to the coal calorific value can not be obtained inreal time, we got the online correction calorific by analyzing working conditions of calciner.Clinker formation thermal is related to clinker components. Based on not real-time access forclinker composition, we have develop remote web entry function. The laboratory technicianswill import each assay data on time by remote web to remote database in order to called byanalysis software. Preheater exit gas sensible heat is related to the preheater exit gas andexport gas temperature. According to high temperature fan inlet flow, we can calculate theamount of preheater exhaust gas.Two series of five cyclone preheater generally have fourpreheater exit gas temperature measurement points. To get an accurate temperature monitoringvalue,we used the adaptive estimation algorithm that fuses four values to a value as apreheating gas outlet temperature. The waste heat boiler inlet AQC sensible heat is related toairflow and air temperature. According to the kiln exhaust fan air flow,we can estimate theamount of kiln waste heat boiler inlet. Inlet air temperature data was taken from industrialcontrol systems.Based on the model algorithms of the parameters, coal efficiency analysis software wasdeveloped. The software can calculate the energy and thermal efficiency size and monitor theenergy flows and flows in real time.Coal effect analysis software has been used in the industrial field. The software is notonly to provide a good web browsing monitoring functions, but also real-time calculation aboutamount of wind site, the amount of material, energy and thermal efficiency size to helpdispatcher optimal scheduling and operator optimal control. |