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Industrial Kiln Design Of SNCR Intelligent Control System

Posted on:2018-11-04Degree:MasterType:Thesis
Country:ChinaCandidate:Q W DongFull Text:PDF
GTID:2381330542990567Subject:Mechanical engineering
Abstract/Summary:PDF Full Text Request
The cement industry NOx emissions is the most emission source expect Coal-fired power plants and automobile exhaust.SNCR DeNOx technology in cement plant has been widely used in the foreign.The most effective DeNOx technology in cement industry,which reached more than 70%.With improvement of the environmental requirements,research of low NOx control technology and improvement of the DeNOx automation control level is imperative in the cement plant and medium-sized boilers and small boilers.In order to realize"twelfth five-year"DeNOx emissions target in the cement plant.The main work of this paper is as followed:1.Analyzed deeply the cement furnaces of SNCR process system main technology,and description on the choice of reducing agent,choice of the temperature window,NSR ratio,CFD numerical simulation,etc.This is based on the project for the spray gun structural type selection and reasonable decorate.2.Formulated the network structure,this paper established mathematical model on the urea solution preparation and the reducing agent injection control,developed control strategy of transmission main/standby pump.and the control system designed in detail,According to the characteristics of nonlinear,large lag and large inertia on the SNCR process system,designed NOx adaptive control system.3.After the application of multiple projects,Control system can running on he stable,is high of denitration efficiency,system quickly adjust on the amount of reducing agent according to the concentration of nitrogen oxide and load,reduces the operating costs,and achieved good effect,SNCR DeNOx technology application have very good demonstration effect on the cement industry.4.In the end of this paper,we make a simple conclusion on the research and design process,and make initial prediction on the application of this system and the future development.
Keywords/Search Tags:Urea, SNCR, DeNO_x, Reducing agent, CFD, Adaptive control
PDF Full Text Request
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