CFD modeling of unsteady SCR deNOx coupled with regenerative heat transfer in honeycomb regenerators partly coated by Vanadium catalysts

You, Yonghua; Wu, Zhongda; Zeng, Weidong; Zhang, Zhuang; Wang, Sheng; Dai, Fangqin; Yi, Zhengming

doi:10.1016/j.cherd.2019.07.015

Cited by 14 publications

(4 citation statements)

References 26 publications

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“…In practical engineering applications, the numerical simulation of the flow field in the SCR device is mainly based on the turbulence simulation method of solving the Reynolds homogenization equation and the transport equation of correlation quantity. In other words, the turbulence model is applied, and the standard should be selected based on the experience and practice of the k-ε turbulence model [21]:…”

Section: Turbulence Modelmentioning

confidence: 99%

“…Habib et al [20] used numerical simulation methods to analyze the effects of fuel ratio, inlet air temperature, and swirl angle on NOx formation and optimized the combustion parameters of the power plant. You et al [21] developed a layer-by-layer SCR denitration catalytic model based on the assumption of a porous medium model and successfully applied it to the calculation. The numerical simulation results showed that computational fluid dynamics can predict the flow characteristics of a partially coated honeycomb regenerator and that this method is feasible and effective [21].…”

Section: Introductionmentioning

confidence: 99%

“…You et al [21] developed a layer-by-layer SCR denitration catalytic model based on the assumption of a porous medium model and successfully applied it to the calculation. The numerical simulation results showed that computational fluid dynamics can predict the flow characteristics of a partially coated honeycomb regenerator and that this method is feasible and effective [21].…”

Section: Introductionmentioning

confidence: 99%

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

Chen

Jiang

et al. 2022

Energies

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Selective catalytic reduction (SCR) and denitrification are the best technologies for nitrogen oxides (NOx) 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 CV 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 NH3/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.

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Section: Turbulence Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Chen

Jiang

et al. 2022

Energies

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“…The governing equations for the gas flow in the regenerator are the continuity equation, Navier-Stokes equation, and the energy conservation equation [22]:…”

Section: Governing Equationsmentioning

confidence: 99%

Numerical Study on Heat Transfer Efficiency of Regenerative Thermal Oxidizers with Three Canisters

Yuan

2021

Processes

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The heat transfer efficiency of a regenerative thermal oxidizer with three canisters used for volatile organic compounds treatment was studied using numerical simulation methods. A one-dimensional model that took into account the variation of physical parameters with temperature was built. The results show that the preheating temperature and outlet temperature tend to be stable as the operation time is increased. The heat transfer efficiency of equipment was mainly evaluated by heat recovery efficiency and energy recovery ratio under steady state conditions, which was affected by the inlet gas flow and temperature, valve switch time, combustion temperature, materials and porosity of the regenerative medium, and packing height. With the increase in packing cross-sectional area and packing height, the increase in heat transfer efficiency leads to an increase in equipment cost. Simultaneously, the shorter the valve switch time and the higher the density of the regenerative medium battery also help to improve the heat transfer efficiency without blocking equipment. Unless the removal efficiency of volatile organic compound treatment is reduced, it is recommended to reduce the inlet and combustion temperatures.

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Computational Fluid Dynamics Modeling of Mass Transfer Processes in Structured Beds of Microfibrous Catalysts

Lopatin,

Elyshev,

Zagoruiko

2024

Mathematical Modeling of Complex Reaction Systems in the Oil and Gas Industry

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CFD modeling of unsteady SCR deNOx coupled with regenerative heat transfer in honeycomb regenerators partly coated by Vanadium catalysts

Cited by 14 publications

References 26 publications

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

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

Numerical Study on Heat Transfer Efficiency of Regenerative Thermal Oxidizers with Three Canisters

Computational Fluid Dynamics Modeling of Mass Transfer Processes in Structured Beds of Microfibrous Catalysts

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