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Investigating the Optimization Design of Internal Flow Fields Using a Selective Catalytic Reduction Device and Computational Fluid Dynamics

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  • Bin Hu

    (School of Mathematical and Physical, Xuzhou University of Technology, Xuzhou 221018, China
    These authors contributed equally to this work.)

  • Cong Chen

    (Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, School of Energy and Environment, Southeast University, Nanjing 210096, China
    These authors contributed equally to this work.)

  • Shouxi Jiang

    (School of Mathematical and Physical, Xuzhou University of Technology, Xuzhou 221018, China)

  • Xiaosong Liu

    (School of Mathematical and Physical, Xuzhou University of Technology, Xuzhou 221018, China)

  • Qianjin Dai

    (School of Mathematical and Physical, Xuzhou University of Technology, Xuzhou 221018, China)

Abstract

Selective catalytic reduction (SCR) and denitrification are the best technologies for nitrogen oxides (NO x ) control in coal-fired power plants, and their denitration efficiency and ammonia escape rate are closely related to their internal flow characteristics. By adding a deflector to the SCR device, the flow field in the curve can be effectively improved, and the stable and efficient operation of the SCR device can be realized. Based on the numerical simulation method, the SCR system of a coking coal-fired boiler in a steel plant was simulated using k-ε (the turbulence model), and three design schemes of deflectors were proposed and numerically simulated simultaneously. After optimization, the ammonia injection grid’s downstream velocity variance coefficient C V was 6.69, the catalyst upper cross-section velocity variance coefficient was 11.84, the cross-sectional temperature average was 499 K, the maximum temperature deviation was 9 °C, the maximum-to-minimum temperature interval span was 15 °C, the cross-sectional NH 3 /NOx molar ratio average value was 0.8122, the coefficient of variance was 4.67, and the pressure loss was 1855 Pa. The findings of this work will help improve the denitration efficiency and provide an important reference for the actual transformation design.

Suggested Citation

  • Bin Hu & Cong Chen & Shouxi Jiang & Xiaosong Liu & Qianjin Dai, 2022. "Investigating the Optimization Design of Internal Flow Fields Using a Selective Catalytic Reduction Device and Computational Fluid Dynamics," Energies, MDPI, vol. 15(4), pages 1-17, February.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:4:p:1451-:d:751017
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    References listed on IDEAS

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    2. George M. Kosmadakis & Constantine D. Rakopoulos, 2019. "A Fast CFD-Based Methodology for Determining the Cyclic Variability and Its Effects on Performance and Emissions of Spark-Ignition Engines," Energies, MDPI, vol. 12(21), pages 1-15, October.
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    Cited by:

    1. Zhanzhou Pang & Ranjing Chen & Yue Cao, 2022. "Performance Analysis and Optimization for Static Mixer of SCR Denitration System under Different Arrangements," Energies, MDPI, vol. 15(23), pages 1-14, November.

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