Virtual Exhaust Line for Model-based Diesel Aftertreatment Development

Cloudt, Robert; Saenen, Jan; Eijnden, Edwin van den; Rojer, Chepa

doi:10.4271/2010-01-0888

Cited by 28 publications

(11 citation statements)

References 20 publications

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“…For the one-dimensional models this means that the PDEs related to the gas phase are transformed into ODEs, as described in Section 3.3. These models are reported to predict the behavior of the system very well [15] and are also capable of real-time implementation, with on-line state estimation as an example [16].…”

Section: Quasi-static Modelsmentioning

confidence: 99%

Selective Catalytic Reduction Catalyst Modeling for Control Purposes

Holmer

Eriksson

2022

Energies

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In markets with strict emission legislations Selective Catalytic Reduction (SCR) has become the industry standard for NOx abatement in heavy-duty vehicles, and therefore modeling and control of these systems are vital. Many SCR catalyst models are available in the literature and in this paper different models are discussed and classified into groups. Two models, based on the two most popular classes for control-oriented models, are implemented and compared with each other, one based on the continuously stirred-tank reactor approximation, and the other on a quasi-static behavior of the gas phase. The results show that assuming a quasi-static behavior of the gas phase in the catalyst gives better results in terms of accuracy and simulation time, especially when it comes to predictions of ammonia slip.

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Section: Quasi-static Modelsmentioning

confidence: 99%

Selective Catalytic Reduction Catalyst Modeling for Control Purposes

Holmer

Eriksson

2022

Energies

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“…To model the studied SCR system, TNO's SIMCAT simulation package is used [6]- [8]. With this modular tool, various SCR system configurations can be modeled.…”

Section: Scr System Modelmentioning

confidence: 99%

“…The SCR system modeling approach used is similar to [9], [10]. A dedicated fit tool and test sequence is developed to fit the models based on engine test bench data [7], [8].…”

Section: Scr System Modelmentioning

confidence: 99%

Experimental Demonstration of a New Model-Based SCR Control Strategy for Cleaner Heavy-Duty Diesel Engines

Willems

Cloudt²

2011

IEEE Trans. Contr. Syst. Technol.

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“…An accurate high fidelity model is valuable for more efficiently designing the SCR system, on-vehicle control system and diagnostic functions. The characteristics and performance of Cu-zeolite and Fe-zeolite catalysts have been studied through both engine and reactor experiments [3,5,14]. Numerous SCR models and kinetic studies have also been published for different formulations including Cuzeolite and Fe-zeolite catalysts [6,8,17,20,24].…”

Section: Introductionmentioning

confidence: 99%

A SCR Model Calibration Approach with Spatially Resolved Measurements and NH3 Storage Distributions

Song

Parker

Johnson

et al. 2014

Emiss. Control Sci. Technol.

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The selective catalytic reduction (SCR) is a technology used for reducing NO x emissions in the heavy-duty diesel (HDD) engine exhaust. In this study, the spatially resolved capillary inlet infrared spectroscopy (Spaci-IR) technique was used to study the gas concentration and NH 3 storage distributions in a SCR catalyst, and to provide data for developing a SCR model to analyze the axial gaseous concentration and axial distributions of NH 3 storage. A twosite SCR model is described for simulating the reaction mechanisms. The model equations and a calculation method was developed using the Spaci-IR measurements to determine the NH 3 storage capacity and the relationships between certain kinetic parameters of the model. A calibration approach was then applied for tuning the kinetic parameters using the spatial gaseous measurements and calculated NH 3 storage as a function of axial position instead of inlet and outlet gaseous concentrations of NO, NO 2 , and NH 3. The equations and the approach for determining the NH 3 storage capacity of the catalyst and a method of dividing the NH 3 storage capacity between the two storage sites are presented. It was determined that the kinetic parameters of the adsorption and desorption reactions have to follow certain relationships for the model to simulate the experimental data. The modeling results served as a basis for developing full model calibrations to SCR lab reactor and engine data and state estimator development as described in the references (Song et al. 2013a, b; Surenahalli et al. 2013). Keywords Aftertreatment. Selective catalytic reduction (SCR). Spaci-IR. NO x reduction. SCR model Nomenclature ɛ Void fraction of the catalyst channel [-] u Gas flow velocity [m/s] β Mass transfer coefficient [m/s] A g Geometric surface area [1/s] C Mole fraction of species [-] C g Mole fraction of species in gas phase [-] C s Concentration of species in surface phase [-] Ω NH 3 storage capacity of the catalyst [gmol/m 3 ] Ω A, NH 3 storage capacity of the first site [gmol/m 3 ] Ω B, NH 3 storage capacity of the second site [gmol/m 3 ] Ω i NH 3 storage at different temperatures [gmol/m 3 ] Θ NH 3 coverage fraction [-] R Reaction rate of the global reactions [1/s] k Reaction rate constant A Arrhenius form pre-exponential factor E Arrhenius form activation energy [kJ/gmol] T Temperature [K] η O2 The mole fraction of O 2 [-] X.

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Virtual Exhaust Line for Model-based Diesel Aftertreatment Development

Cited by 28 publications

References 20 publications

Selective Catalytic Reduction Catalyst Modeling for Control Purposes

Selective Catalytic Reduction Catalyst Modeling for Control Purposes

Experimental Demonstration of a New Model-Based SCR Control Strategy for Cleaner Heavy-Duty Diesel Engines

A SCR Model Calibration Approach with Spatially Resolved Measurements and NH3 Storage Distributions

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