The Influence of SO2 and HCl Concentrations on the Consumption of Sodium Bicarbonate during Flue Gas Treatment
| Autor: | Boleslav Zach, Radovan Šomplák, M. Punčochář, Jiří Brynda, Jaroslav Moško, Michael Pohořelý, Karel Svoboda, Michal Šyc |
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| Rok vydání: | 2021 |
| Předmět: |
Flue gas
Treatment system Sodium bicarbonate Sorbent General Chemical Engineering Inorganic chemistry Energy Engineering and Power Technology 02 engineering and technology 021001 nanoscience & nanotechnology Target concentration chemistry.chemical_compound Fuel Technology 020401 chemical engineering chemistry 0204 chemical engineering 0210 nano-technology Sodium carbonate |
| Zdroj: | Energy & Fuels. 35:5064-5073 |
| ISSN: | 1520-5029 0887-0624 |
| DOI: | 10.1021/acs.energyfuels.0c03655 |
| Popis: | The paper focuses on the competitive influence of SO₂ and HCl during their removal from flue gas by sodium bicarbonate. The experimental investigation was conducted at a unique combination of conditions: the experiments were conducted on a large scale, with real flue gas, and the removal of SO₂ and HCl was studied simultaneously. The aim was to ensure that experimental conditions are reasonably realistic and therefore transferable to practice. The results from experiments at various temperatures within the range from 170 to 255 °C did not indicate a significant influence of temperature. The sorbent conversion varied significantly with the lowest achieved conversion of 26% and the highest conversion of 85%. There was a clear trend showing that higher concentrations of HCl make it more difficult to achieve the selected target concentration of SO₂ in clean flue gas, suggesting the preferred reaction of formed sodium carbonate with HCl. The influence of HCl on the removal of SO₂ was quantified and is presented in the form of regression models. The found regressors were the initial concentrations of HCl and SO₂ in raw flue gas and the target concentration of SO₂ in the clean flue gas. The regression models are in good agreement with the experimental data and can be used for the prediction of the behavior of a flue gas treatment system or its optimization. |
| Databáze: | OpenAIRE |
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