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

Bin Hu, Cong Chen, Shouxi Jiang, Xiaosong Liu and Qianjin Dai
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Bin Hu: School of Mathematical and Physical, Xuzhou University of Technology, Xuzhou 221018, China
Cong Chen: Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, School of Energy and Environment, Southeast University, Nanjing 210096, China
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

Energies, 2022, vol. 15, issue 4, 1-17

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.

Keywords: selective catalytic reduction; numerical simulation; zonal ammonia spraying; deflector optimization; optimizing design (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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