The Research Of Calculation Model Of Seawater Flue Gas Desulfurization Based On Environmental On-line Monitoring Platform

Environmental on-line monitoring platform has been widely used in pollution source monitoring system.Its major functions are data statistics,data reports and it lacks predicative ability.Seawater flue gas desulfurization system is a high energy consumption system so operational optimization of SFGD makes a lot of sense for energy saving and emission reduction work for power plant.A seawater flue gas desulfurization system of Mawan plant is taken as the research object for this article.The study includes two aspects:sulfur dioxide emissions counting models and system operational optimization.Two quantitative analysis models were built including S02 removal efficiency model and emission model based on neural networks.Based on the analysis of the desulfurization reaction mechanism,the selection of the model input parameters and the output parameters were determined,and the parameters of the network training were optimized.The BP neural network model of desulfurization efficiency and sulfur dioxide emission was established.The trained neural network model is used to predict the test data of the#1 unit.The three groups of test samples have the coefficient R of 0.88139,0.94021 and 0.97165 respectively,which indicates that the model has good prediction effect.The results show that the decision factors of the three sets of test samples are 0.84448,0.51042 and 0.71662,and the prediction effect is worse than that of the#1 unit,which indicates that the model has a certain dependence on the unit Sex.The sulfur dioxide emissions model is calculated on the basis of the desulfurization efficiency model?Based on the actual operation data of the system,the system desulfurization operation cost model is established.The main energy consumption of the system booster fan and seawater booster pump to build energy consumption model to model.The model constructs the optimization objective function based on the running cost,and uses the genetic algorithm to optimize the parameters of the control,and realizes the operation optimization of the target working condition.The load of 210MW,240MW,270MW under the conditions of the design of the operating parameters to optimize,mainly by reducing the wind maneuvering Leaf opening degree,to achieve the booster fan energy consumption.The qualitative analysis and quantitative analysis module is written into the intelligent accounting module in the programming language.With the Mawan power plant as the application object,the practical engineering application is obtained.Under the normal operation condition of the system,the qualitative analysis module established in this paper can realize the data filtering and export and statistics the abnormal data.The model is used to simulate the desulfurization efficiency of one day.The output value of the model is basically the same as that of the online monitoring value.The error percentage is within 2%,which indicates that the model has good predictability.Through the online sulfur dioxide emissions and model of sulfur dioxide emissions compared to achieve the determination of sulfur dioxide emissions.Based on the SIS system,the operation optimization model of desulphurization system is established,and the optimization of operating parameters for different working conditions is realized.