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Published on: September 2, 2016
Simulation and experimental study of gas-phase diffusion coefficient of selenium dioxide
Xiaolong Wu1, Renjie Zou1, Guangqian Luo1
1State Key Laboratory of Coal Combustion (SKLCC), School of Energy and Power Engineering, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China.
Accurate selenium dioxide gas-phase diffusion coefficients were determined for coal-fired power plant emissions. This data improves selenium removal models in desulfurization systems, reducing pollutant discharge.
Area of Science:
- Environmental Science
- Chemical Engineering
- Physical Chemistry
Background:
- Coal-fired power plants release selenium pollutants, necessitating effective removal strategies.
- Wet flue gas desulfurization systems are crucial for mitigating selenium emissions.
- Understanding selenium pollutant behavior, specifically the gas-phase diffusion of selenium dioxide (SeO2), is vital for optimizing removal processes.
Purpose of the Study:
- To determine the gas-phase diffusion coefficients of SeO2 in flue gas.
- To validate theoretical calculations with experimental measurements.
- To improve the accuracy of selenium removal models in desulfurization systems.
Main Methods:
- Molecular dynamics simulations were employed for theoretical calculations of SeO2 gas-phase diffusion coefficients.
- A self-developed testing device measured SeO2 gas-phase diffusion coefficients between 393 K and 433 K.
- Fuller's formula was used to correct diffusion coefficients for binary and ternary gas mixtures.
- A single-droplet absorption model was constructed and validated.
Main Results:
- Molecular dynamics simulations accurately predicted SeO2 gas-phase diffusion coefficients.
- Experimental measurements validated the simulation results.
- Corrected diffusion coefficients significantly improved the accuracy of the single-droplet absorption model, reducing errors from 8.09% to 1.96%.
Conclusions:
- The study provides crucial gas-phase diffusion coefficient data for SeO2 in the low-temperature range relevant to coal-fired flue gas.
- This data is essential for developing more effective selenium migration mechanisms and control technologies.
- Improved model accuracy aids in optimizing wet flue gas desulfurization processes for reduced selenium emissions.
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