Pilot‐scale investigation and <scp>CFD</scp> modeling of particle deposition in low‐dust monolithic <scp>SCR DeNOx</scp> catalysts

Heiredal, Michael Lykke; Jensen, Anker Degn; Thøgersen, Joakim R.; Frandsen, Flemming; Friemann, Jens-Uwe

doi:10.1002/aic.13990

Cited by 16 publications

(7 citation statements)

References 18 publications

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“…The 1-cell model presented here refers to the assumptions and simplifications in [2,[19][20][21]. All nomenclature of constants and variables used in the modeling are presented in Tables 1 and 2, respectively.…”

Section: Lumped Parameter Modelingmentioning

confidence: 99%

An ammonia coverage ratio observing and tracking controller: stability analysis and simulation evaluation

Zhao

Gong

et al. 2019

Sci. China Inf. Sci.

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Regional path moving horizon tracking controller design for autonomous ground vehicles SCIENCE CHINA Information Sciences 60, 013201 (2017); Approximate design of optimal tracking controller for time-delay systems Chinese Science Bulletin 51, 2158 (2006); Multiple hypothesis tracking based on the Shiryayev sequential probability ratio test SCIENCE CHINA Information Sciences 59, 122306 (2016); Evaluation of cracking potential for concrete arch dam based on simulation feedback analysis SCIENCE CHINA Technological Sciences 54, 565 (2011); SCIENCE CHINA Information Sciences

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Section: Lumped Parameter Modelingmentioning

confidence: 99%

An ammonia coverage ratio observing and tracking controller: stability analysis and simulation evaluation

Zhao

Gong

et al. 2019

Sci. China Inf. Sci.

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“…The 1-cell model presented here refers to the assumptions and simplifications in [25], [26]. All nomenclature of the constants and variables used in the modeling is shown in Table 2 and 3.…”

Section: Control-oriented Urea-scr System Modelmentioning

confidence: 99%

“…In this urea-SCR system optimization problem, the state is selected as NH 3 , and the objective is to find the control policy n NH 3 ,in for tracking the optimal ammonia coverage profile * NH 3 . The optimization problem for the urea-SCR system NMPC controller is simply described as equation (26).…”

Section: ) Integrated Engine and Urea-scr System Controlmentioning

confidence: 99%

“…A calibration process of the estimation model for the ammonia coverage ratio target * NH 3 is presented. Representative comparison results of performance between the integrated controller (20) and the distributed controller (25) and (26) are presented, and the principles for adjusting the parameters of the integrated controller are discussed.…”

Section: Evaluation Of the Sequential Optimization Control Systemmentioning

confidence: 99%

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Sequential Optimization of Eco-Driving Taking Into Account Fuel Economy and Emissions

Zhao

Gao

2019

IEEE Access

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The regulations for diesel vehicles are expected to become increasingly more stringent. However, how to coordinate eco-driving, the diesel engine and the urea selective catalytic reduction (urea-SCR) system for fuel economy improvement and emissions reduction remains a formidable challenge. In this paper, a sequential optimization control method with three stages is designed. In stage I, the optimal driving force and braking force are obtained by solving a nonlinear optimization problem of tracking the vehicle velocity profile. In stage II, a real-time reference estimation model is designed to provide the optimal ammonia coverage ratio target. In stage III, to implement the driving force requirement and ammonia coverage ratio target, an integrated engine and urea-SCR system control method and a distributed method are proposed, respectively. The distributed method consists of a fuel injection controller utilizing a data-driven predictive method and a NH 3 dosing controller utilizing nonlinear model predictive control (NMPC). The control model of the integrated method is represented by the first-order ammonia coverage ratio dynamics only. The results show that the fuel consumption is improved by 5.3% and the PM emission is reduced by 11.56% during the partial transient acceleration process, and that the fuel consumption and emissions of the integrated control method can accomplish the level of the distributed method and achieve the trade-off between the multi-objective. However, the integrated control method incurs an average computational time penalty of 15.47%. INDEX TERMS Diesel vehicles, urea selective catalytic reduction (urea-SCR) system, sequential optimization, nonlinear model predictive control (NMPC), Pontryagin's minimum principle (PMP).

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“…The effects of particle diameter, particle density, gas velocity, turbulent intensity, chemical reaction and channel size were studied. Pilot-scale experiments on particle deposition of SCR-deNO x catalysts were carried out by Heiredal et al [27] and a model was developed, revealing the dominating mechanisms for particle deposition. Nevertheless, few research papers focus on the particle accumulation inside the duct and the corresponding solutions.…”

Section: Introductionmentioning

confidence: 99%

Numerical and Experimental Investigations on Reducing Particle Accumulation for SCR-deNOx Facilities

2019

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Selective catalytic reduction (SCR) is widely used to remove nitrogen oxides (NOx) in the flue gas of coal-fired power plants. The accumulation of ash particles inside the SCR-deNOx facility will increase the risk of catalyst deactivation or even damage. This paper presents the numerical and experimental investigations on the particle dispersal approach for the SCR-deNOx facility of a 1000 MW coal-fired power plant. The accumulation of different-sized particles is evaluated based on computational fluid dynamics (CFD) simulations. To prevent particles from accumulation, an optimized triangular deflector is proposed and attempts are made to find out the optimal installing position of the deflector. For the π-type SCR-deNOx facilities, the particle accumulation predominantly occurred on one side of the catalysts’ entrance, which corresponds to the inner side of the wedge-shaped turning. It is indicated that particles larger than 8.8 × 10−2 mm are responsible for the significant accumulation. The triangular deflector is proved to be an effective way to reduce particle accumulation and is found most efficient when it is installed at the high-speed area of the vertical duct. Flow model test (FMT) is carried out to validate the dispersal effect for the particle with relatively large sizes and the optimal installing position of the triangular deflector.

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Pilot‐scale investigation and CFD modeling of particle deposition in low‐dust monolithic SCR DeNOx catalysts

Cited by 16 publications

References 18 publications

An ammonia coverage ratio observing and tracking controller: stability analysis and simulation evaluation

An ammonia coverage ratio observing and tracking controller: stability analysis and simulation evaluation

Sequential Optimization of Eco-Driving Taking Into Account Fuel Economy and Emissions

Numerical and Experimental Investigations on Reducing Particle Accumulation for SCR-deNOx Facilities

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