Research On Detection And Removal Of SO₃ In Coal-fired Power Plants Under Ultra-low Emission Situation

Our country will still rely on primary energy sources such as coal and petroleum for energy supply for a certain period of time,but coal emits a large amount of pollutants when it is burned,which brings serious harm to the human living environment.At present,the emission of conventional pollutants such as NO_x,SO₂,and soot in thermal power plants is temporarily controlled,and the emission of unconventional pollutants has gradually become a new hot spot.And SO₃bears the brunt,how to accurately detect and intelligently regulate SO₃in coal-fired power plants will greatly promote the efficient,clean and stable development of the thermal power industry.This paper conducts systematic research and analysis on the generation and removal of SO₃in coal-fired power plants.It not only starts with the detection technology of SO₃,but also analyzes it from the macro level,and provides a new idea for SO₃emissions.First of all,the full text takes our country’s energy consumption and the global energy and power supply structure as the starting point,and specifically analyzes our country’s current energy consumption patterns and future development situations.At the same time,it lists our country’s air pollutant emissions data in recent years,combined with weather conditions.The analysis of the current status of pollutant emission reduction leads to the gradual shift in the focus of pollution control in my country to the theme of unconventional pollutants such as SO₃.The SO₃emission reduction must be based on detection technology.At present,our country still refers to relevant foreign standards,and there are large errors.Therefore,this article aims to improve the accuracy of the SO₃measurement technology in coal-fired power plants.Using a 300MW coal-fired unit as an experimental platform,it explores the effects of different absorption liquid concentration,sampling flow,and heating temperature on the solution absorption method and the controlled condensation method.The effect of the detection method shows that the error between the measured value and the actual value of isopropanol solution with a volume concentration of 80%-90%is within the credibility range,and the detection deviation is not large when the heating temperature is higher than 210°C.The sampling flow of the two methods is best controlled within the range of 8-10L/Min and 10-15L/Min.In order to study SO₃removal and emissions more systematically,a test site was selected to study the changes in the whole process of SO₃in the unit under variable load conditions.The results showed that the removal rate of WESP was the highest,reaching 69.8%under full load,and under variable load conditions.The SO₃removal effect of each equipment is quite different.For the SCR system,the SO₃removal rate is reduced from-106.3%at 50%load to-132.2%at 80%load.The ESP equipment is at full load and 80%at full load.Compared with the load,the change is not obvious,and even decreases.In addition,this article also conducts SO₃macro-control analysis on various types of power plants.First,five coal-fired units are selected to build a large-scale experimental platform to test them,and then a mathematical model is established to compare coal-fired power generation and SO₃emissions Combining the value and the removal value,a new concept is proposed for qualitative and quantitative analysis of the unit.At the same time,the SO₃emission standard,the distribution of coal-burning coal types and the SO₃emission characteristics are linked,and the indicators are introduced for correlation analysis.By obtaining the mapping distribution of SO₃under steady-state conditions and the basic elements of statistical samples,it can be viewed from an economic perspective Study SO₃emission characteristics and emission reduction laws.The data shows that the emission efficiency value of each device is in the range of 5.89-67.1k Wh/g,the overall emission economy of route D is the best,and the total economic value of removal is as low as11.3k Wh/g.The types of coal burned in various parts of my country are complex,and the cost and the economy of SO₃emission reduction should be considered for the ultra-low emission transformation of generator sets in different regions.Finally,the big data analysis technology is introduced into the intelligent control module of coal-fired power plants.By establishing a predictive model for the SCR equipment of a power plant,environmental protection data analysis is performed on it,and the credibility of the model is verified.The results show that for the entire case SCR system,the The system’s evaluation index deviation is less than 15%,and the reliability is high.It provides a reference direction for the intelligent control of SO₃in coal-fired power plants,and injects new vitality into the development of digital technology and the efficient operation of traditional industries.