Modeling and Simulation of Sulfur Dioxide Abatement with Ammonia Absorbent in the Spray Scrubber

2012 ◽  
Vol 599 ◽  
pp. 404-411 ◽  
Author(s):  
Yong Jia
Keyword(s):  
Flue Gas ◽  
Operating Conditions ◽  
Flue Gas Desulfurization ◽  
Gas Velocity ◽  
Desulfurization Process ◽  
Spray Scrubber ◽  
Influence Of Ph ◽  
So2 Absorption ◽  
Gas Ratio ◽  
So2 Concentration

In this paper, a model of ammonia-based wet flue gas desulfurization system was developed to simulate the process of absorption of SO2 and oxidation of total sulfite. The influence of pH, liquid-gas ratio, flue gas velocity and SO2 concentration on the desulfurization process were analyzed. The calculated desulfurization efficiency of the ammonia-based WFGD system for 2×210 t•h-1 boilers unit in China were compared to that of corresponding measured ones. The results show that the simulated values agreed well with the measured values for the operating conditions of pH, liquid/gas ratio and SO2 concentration. Corresponding amount of air needed for oxidation of total sulfite formed in SO2 absorption process was also calculated.

The Formation of Manganous Dithionate in the Manganese Oxide Flue Gas Desulfurization

2019 ◽  
Vol 12 (4) ◽  
pp. 287-295
Author(s):  
Pengyan Pu ◽  
Lin Yang ◽  
Lu Yao ◽  
Xia Jiang ◽  
Wenju Jiang
Keyword(s):  
Flue Gas ◽  
Manganese Oxides ◽  
Operating Conditions ◽  
Flue Gas Desulfurization ◽  
Optimum Operating ◽  
Manganese Ore ◽  
Gaseous Oxygen ◽  
Electrolytic Manganese ◽  
Desulfurization Process ◽  
Manganese Compounds

Background & Objective: The Manganous Dithionate (MnS2O6, MD) was formed during the flue gas desulfurization process over manganese ore slurry, which impeded the following valuable using of the desulfurized lixivium. In this study, the MD formation and restraint in the desulfurization process using manganese was carefully investigated. Methods & Results: Different type of manganese oxides/carbonate was used for the flue gas desulfurization, and the MD formation with the process was detected to obtain the basic information of the MD formation and restraint. The MD was directly formed by the uncompleted oxidation of SO2 with MnO2. The increased MD formation by Mn2O3, Mn3O4 and MnCO3 was due to their influence on the pH of slurry. Processability study showed that an increase in the acidity of slurry, the gaseous oxygen content and reaction temperature could inhibit the MD formation effectively. The optimum operating conditions to restrain the MD formation were temperature higher than 60°C, 10% or more oxygen and slurry pH lower than 3. The formed MD content was different with the different manganese compounds, which cloud be controlled by the ore-proportioning in industrial application. Conclusion: Using anolyte to prepare the manganese slurry for desulfurization could perform a good MD formation restraint, which provided valuable technical support for the cleaner production of electrolytic manganese industry.

scholarly journals Investigation of the emission control of sulfur trioxide aerosols based on heterogeneous condensation and the deflectors tray of the desulfurization tower

RSC Advances ◽  
2020 ◽  
Vol 10 (63) ◽  
pp. 38515-38523
Author(s):  
Rui Zhang ◽  
Xiaodong Si ◽  
Lingling Zhao ◽  
Linjun Yang ◽  
Hao Wu
Keyword(s):  
Flue Gas ◽  
Sulfur Trioxide ◽  
Emission Control ◽  
Flue Gas Desulfurization ◽  
Heterogeneous Condensation ◽  
Desulfurization Process

In this paper, control over the emission of sulfur trioxide aerosols was investigated based on heterogeneous condensation in the wet flue gas desulfurization process.

Modelling Flue Gas Desulfurization Using Pyrolusite Pulp in a Jet Bubbling Reactor

2009 ◽  
Vol 610-613 ◽  
pp. 85-96 ◽  
Author(s):  
Jing Dong Zhao ◽  
Shi Jun Su ◽  
Nan Shan Ai ◽  
Xiao Fan Zhu
Keyword(s):  
Flue Gas ◽  
Ph Value ◽  
Scale Up ◽  
Absorption Efficiency ◽  
Flue Gas Desulfurization ◽  
Process Conditions ◽  
Gas Temperature ◽  
Transfer Coefficients ◽  
Set Up ◽  
So2 Absorption

A mathematical model for flue gas desulfurization using pyrolusite pulp in jet bubbling reactor (JBR) was described. Firstly, based on the concept of two stages mass balance with chemical reaction, two models were set up, for jet bubbling zone and rising bubble zone, respectively, according to the construction of JBR. The models consist of two coupling differential equations and were solved simultaneously by integral and separation of the variables. Then the SO2 absorption efficiency expression was developed, considering the great discrepancy existing between the gas-side mass transfer coefficients of the jet bubbling zone and gas bubble rising zone. The final expression associates SO2 absorption efficiency with process conditions and JBR structure parameters, which can give some instruction and guidance for the study of reactor operation process. Predicted results from the theoretical model, including effect of pH value of the pulp, flue gas temperature and inlet SO2 concentration of flue gas on SO2 absorption efficiency, were found to be in good agreement with experimental data obtained in a jet bubbling reactor. The model provides a basis for the process scale up and operating guide.

scholarly journals Ion Selective Electrodes for Flue Gas Desulfurization Wastewater Monitoring: Effects of Ionic Strength on Selective Ions

2019 ◽  
Vol 9 (15) ◽  
pp. 3085
Author(s):  
Kyle McGaughy ◽  
Jay P. Wilhelm ◽  
M. Toufiq Reza
Keyword(s):  
Ionic Strength ◽  
Flue Gas ◽  
Sampling Rate ◽  
Operating Conditions ◽  
Flue Gas Desulfurization ◽  
Ion Selective Electrodes ◽  
Wastewater Sample ◽  
Electrode Performance ◽  
Relative Errors ◽  
Nitrate And Nitrite

Ion selective electrodes (ISE) were evaluated for use in a flue gas desulfurization (FGD) wastewater monitoring system. Calcium, chloride, nitrate, and nitrite ISE’s were calibrated in a broad range of concentrations that were designed to model an actual FGD wastewater sample that was obtained from an industrial partner. Ideal Nernst, Modified Nernst, and a multiparameter regression analysis was performed for each electrode and evaluated on general fit and sensitivity at anticipated operating conditions. The Ideal Nernst equation, even with correction for ionic strength, was not able to properly model actual electrode performance. The multiparameter regression was able to model the electrode performance with relative errors of 10–25% when ionic strengths were below 0.1 M. Through the evaluation of real-time sensor usage at real conditions, a methodology of washing and sampling rate is suggested to minimize error in the readings.

Factors Affecting Slurry Oxidation in a Wet Flue Gas Desulfurization Process

2019 ◽  
Vol 145 (10) ◽  
pp. 04019058
Author(s):  
Shuangchen Ma ◽  
Fang Xu ◽  
Dongsheng Xu ◽  
Defeng Li ◽  
Yanfei Yu
Keyword(s):  
Flue Gas ◽  
Flue Gas Desulfurization ◽  
Factors Affecting ◽  
Desulfurization Process

Performance of sulfite/FeIIIEDTA fuel cell: Power from waste in flue gas desulfurization process

2019 ◽  
Vol 375 ◽  
pp. 122008 ◽  
Author(s):  
Seonjeong Cheon ◽  
Kwiyong Kim ◽  
Hyung Chul Yoon ◽  
Jong-In Han
Keyword(s):  
Fuel Cell ◽  
Flue Gas ◽  
Flue Gas Desulfurization ◽  
Desulfurization Process

Artificial Intelligence-Based Emission Reduction Strategy for Limestone Forced Oxidation Flue Gas Desulfurization System

2020 ◽  
Vol 142 (9) ◽  
Author(s):  
Ghulam Moeen Uddin ◽  
Syed Muhammad Arafat ◽  
Waqar Muhammad Ashraf ◽  
Muhammad Asim ◽  
Muhammad Mahmood Aslam Bhutta ◽  
...  
Keyword(s):  
Flue Gas ◽  
Power Plants ◽  
Operating Conditions ◽  
Process Models ◽  
Flue Gas Desulfurization ◽  
Optimum Operating ◽  
Input Control ◽  
Network Process ◽  
Coal Power Plants ◽  
Forced Oxidation

Abstract The emissions from coal power plants have serious implication on the environment protection, and there is an increasing effort around the globe to control these emissions by the flue gas cleaning technologies. This research was carried out on the limestone forced oxidation (LSFO) flue gas desulfurization (FGD) system installed at the 2*660 MW supercritical coal-fired power plant. Nine input variables of the FGD system: pH, inlet sulfur dioxide (SO2), inlet temperature, inlet nitrogen oxide (NOx), inlet O2, oxidation air, absorber slurry density, inlet humidity, and inlet dust were used for the development of effective neural network process models for a comprehensive emission analysis constituting outlet SO2, outlet Hg, outlet NOx, and outlet dust emissions from the LSFO FGD system. Monte Carlo experiments were conducted on the artificial neural network process models to investigate the relationships between the input control variables and output variables. Accordingly, optimum operating ranges of all input control variables were recommended. Operating the LSFO FGD system under optimum conditions, nearly 35% and 24% reduction in SO2 emissions are possible at inlet SO2 values of 1500 mg/m3 and 1800 mg/m3, respectively, as compared to general operating conditions. Similarly, nearly 42% and 28% reduction in Hg emissions are possible at inlet SO2 values of 1500 mg/m3 and 1800 mg/m3, respectively, as compared to general operating conditions. The findings are useful for minimizing the emissions from coal power plants and the development of optimum operating strategies for the LSFO FGD system.

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