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- Title
Authentication of emission monitoring data and optimization of desulfurization in the molybdenum roasting process based on BAT-OOPN and the response surface method.
- Authors
Zhao, Yan; Zhang, Jiaqi; Guo, Huixuan; Hu, Xiaomin; Jiang, Qiuli; Wang, Min
- Abstract
This paper presents a quantitative pollutant discharge model for a typical molybdenum roasting plant, which combines the best available technology and object-oriented Petri net concepts. The proposed model was used to verify whether the best available technology in a molybdenum roasting process meeting the current pollutant emission limits by comparing the results of multiple simulations with online monitoring data records. Theoretical SO2 emission values were obtained via multiple simulations and compared with the online monitoring data of a typical molybdenum roasting plant to verify the authenticity of the online monitoring data. The relationship between the different operating parameters and desulfurization efficiency is established through analyzing the historical operation parameters of the enterprise and response surface method. It was found that the optimal operating parameters for the flue gas desulfurization system of this plant could be characterized by a flue gas temperature of 90–93 °C, a pH range of 6.20–6.30, and a liquid-gas ratio of 23–25 L/m3.
- Subjects
MOLYBDENUM; FLUE gas desulfurization; DESULFURIZATION; OBJECT-oriented methods (Computer science); PETRI nets
- Publication
Environmental Science & Pollution Research, 2021, Vol 28, Issue 11, p13264
- ISSN
0944-1344
- Publication type
Article
- DOI
10.1007/s11356-020-11498-1