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Authentication of emission monitoring data and optimization of desulfurization in the molybdenum roasting process based on BAT-OOPN and the response surface method

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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.

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All authors agreed to state that required data and materials relevant will be available for further validity of the results presented.

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Funding

This work is supported by “the Fundamental Research Funds for the Central Universities” (N180104015 and N2003016).

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Authors and Affiliations

  1. Department of Environment Engineering, School of Resource and Civil Engineering, Northeastern University, Shenyang, 110819, China

    Yan Zhao, Xiaomin Hu & Min Wang

  2. Shenyang Saisi Environmental Engineering Design & Research Center, No. 109-5, Quanyun Road, Shenyang, 110819, Liaoning Province, China

    Jiaqi Zhang & Huixuan Guo

  3. Liaoning Ecological Environment Monitoring Center, Shenyang, 110819, China

    Qiuli Jiang

Authors
  1. Yan Zhao
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  2. Jiaqi Zhang
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  3. Huixuan Guo
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  4. Xiaomin Hu
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  5. Qiuli Jiang
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  6. Min Wang
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Contributions

All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by Yan Zhao, Jiaqi Zhang, Huixuan Guo, Xiaomin Hu, Qiuli Jiang, and Min Wang. The first draft of the manuscript was written by Yan Zhao and Jiaqi Zhang and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

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Correspondence to Jiaqi Zhang.

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All author made substantial contributions to the conception or design of the work; or the acquisition, analysis, or interpretation of data; or the creation of new software used in the work.

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Zhao, Y., Zhang, J., Guo, H. et al. Authentication of emission monitoring data and optimization of desulfurization in the molybdenum roasting process based on BAT-OOPN and the response surface method. Environ Sci Pollut Res 28, 13264–13274 (2021). https://doi.org/10.1007/s11356-020-11498-1

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  • DOI: https://doi.org/10.1007/s11356-020-11498-1

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