Font Size: a A A

Optimization Of Swirl Atomization Desulphurization And Dedusting Integration Based On GA_PSO Algorithm With Compression Factor

Posted on:2019-06-14Degree:MasterType:Thesis
Country:ChinaCandidate:D J YuanFull Text:PDF
GTID:2371330566486101Subject:Engineering Thermal Physics
Abstract/Summary:PDF Full Text Request
In the development trend of high-parameter and large-capacity coal-fired units,coal-fired pollutants such as SO2 and fine dust have become one of the chief culprits that threaten the living environment and physical health of humans.Therefore,the ultra-low emission reform of coal-fired units is of great significance for realizing a sustainable and environmentally-friendly society.Nowadays,after desulphurization and dust removal reforming,SO2 and dust emission concentration of coal-fired units are basically controlled below 200mg/Nm3 and 50mg/Nm3respectively.But a certain difference from the ultra-low emission standards always exists.In particular,desulphurization and dedusting integration technologies are mostly suitable for small and medium coal-fired units,and along with energy consumption,cost and waste disposal problems.To overcome the disadvantages of the existing desulphurization and dedusting technologies,this paper proposes an swirl atomization desulphurization and dedusting integration technology,which achieves synergistic ultra-low emission of SO2 and dust using the comprehensive principles of turbulence,phase change and condensation.In this paper,a swirl atomization desulphurization and dedusting integration reform experiment was carried out on a 315MW subcritical coal-fired unit flue gas desulfurization tower to prove the feasibility of the proposed technology.The comparison of effects of liquid-gas ratio and inlet flue gas temperature on desulfurization and dedusting efficiency,effect of inlet SO2 concentration on outlet SO2 concentration,effect of inlet dust concentration on outlet dust concentration before and after the reform led to a regular conclusion:the proposed technology can achieve synergistic ultra-low emission of SO2 and dust,the outlet SO2concentration can be stably controlled below 31.40mg/Nm3,the highest desulfurization efficiency can reach 99.54%,the outlet dust concentration can be stably controlled below4.94mg/Nm3 and the highest dedusting efficiency of the desulfurization tower can reach 82.65%.The grey relational order of operating parameters affecting outlet SO2 concentration and outlet dust concentration in the swirl atomization desulphurization and dedusting integration process were analyzed and obtained through initialization dismensionless method,which led to a regular conclusion:9 main operating parameters significantly affect outlet SO2 concentration and outlet dust concentration,among which the two most sensitive parameters are liquid-gas rio and slurry pH.Based on MATLAB software,a swirl atomization desulphurization and dedusting integration BP neural network was built,a GAPSO algorithm with compression factor was coded to achieve optimal control of the swirl atomization desulphurization and dedusting integration process.Four different optimization objectives were present by introducing penalty function.The optimal values of 9 main operating parameters were finally obtained and show that if the outlet dust concentration is 4-5mg/Nm3,control liquid-gas ratio as 16.36,slurry pH as 5.24,the minimum outlet SO2 concentration can reach 15.00mg/Nm3.If the outlet SO2concentration is 25-35mg/Nm3,control liquid-gas ratio as 17.48,slurry pH as 5.52,the minimum outlet dust concentration can reach 3.00mg/Nm3.The above research methods and conclusions provide a new direction for ultra-low emission reform and optimal control of coal-fired flue gas desulfurization towers.
Keywords/Search Tags:ultra-low emission, swirl atomization, desulphurization and dedusting integration, GA_PSO algorithm with compression factor
PDF Full Text Request
Related items