Process Optimization for Simultaneous Flue Gas Desulfurization and Denitrification Using Manganese Ions from Water‐Quenched Slag Slurry
Abstract Conventional wet flue gas desulfurization and denitrification technologies often suffer from high operational costs and limited efficiency. To address these limitations, this study developed a novel slurry‐based process for the simultaneous removal of SO 2 and NO x using thermally activated water‐quenched manganese slag. Process parameter optimization was conducted employing response surface methodology (RSM) based on a Box‐Behnken Design (BBD). Key factors investigated for their individual and interactive effects on removal efficiency included slag concentration, stirring speed, oxygen concentration, flue gas flow rate, and inlet SO 2 concentration. Results demonstrated that the interaction between flue gas flow rate and slag concentration exerted the most significant influence on desulfurization and denitrification performance. Optimal conditions predicted by the model were: flue gas flow rate = 520 mL min −1 , stirring speed = 1910 rpm, slag concentration = 56 g L −1 , and oxygen concentration = 9.9 vol.%. This study presents an efficient and potentially cost‐effective alternative utilizing industrial waste for integrated flue gas cleanup.
Authors
- Yansu Luo
- Yanxi Zhao (ORCID: https://orcid.org/0000-0003-2694-6294)
- Xin Yan (ORCID: https://orcid.org/0000-0001-6143-9795)
- Lei Shi (ORCID: https://orcid.org/0000-0002-6865-1104)
- Kai Li (ORCID: https://orcid.org/0000-0001-5862-4770)
- Fei Wang (ORCID: https://orcid.org/0000-0002-4364-9956)
- Jinqi Li (ORCID: https://orcid.org/0000-0002-0675-9718)
- Yixing Ma (ORCID: https://orcid.org/0000-0002-8839-7924)
- Xin Sun (ORCID: https://orcid.org/0000-0002-8784-2248)
- Huidong Tang (ORCID: https://orcid.org/0000-0002-7306-1862)
- Xin Tang (ORCID: https://orcid.org/0009-0005-7213-8169)
Institutions
- Kunming University of Science and Technology (CN)
Publication Details
- Journal
- ChemistrySelect
- Published
- 2025-11-29
- DOI
- https://doi.org/10.1002/slct.202504677
- Primary Topic
- Industrial Gas Emission Control
- Type
- article
- Field-Weighted Citation Impact
- 0.00