A Super-Extended Zel'dovich Mechanism for Nox Modeling and Engine Calibration

Miller, R.; Davis, George C.; Lavoie, George A.; Newman, Charles; Gardner, Timothy

doi:10.4271/980781

Cited by 91 publications

(49 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Therefore model accuracy and sensitivity is requested particularly in the most critical operating conditions corresponding to medium-high load, rather than at low load. In such conditions, the model exhibits a mean validation error below 23%, which is comparable to the accuracy achieved by physical models, even more complex that this, presented in the literature (Jung and Assanis, 2006;Patterson et al, 1994;Hountalas, 2008;Miller et al, 1998).…”

Section: Arsie Et Al / Combustion Noise and Pollutants Predictionsupporting

confidence: 50%

“…Several studies have been proposed in order to identify the optimal parameters at different engine operation. Among the others, Miller et al (1998) proposed a correction factor for the constant k 1 as function of the instantaneous in-cylinder pressure; at high engine load and pressure, the reaction rate is reduced up to 80% of the original value, with a significant reduction of the NO prediction. The authors themselves have proposed an identification method based on a decomposition approach for estimating the optimal parameters as function of the engine operating conditions, with a significant improvement of model accuracy on a wide set of reference data (Arsie et al, 1998).…”

Section: Nitrogen Oxide Emissionsmentioning

confidence: 99%

“…The thermal NO formation process is modeled making use of the well-known extended Zeldovich mechanism applied to the mixing zone, which considers three reactions with seven species as main responsible for NO production (Heywood, 1988;Ramos, 1989;Arsie et al, 2006Arsie et al, , 2007. More detailed models have been proposed, as the super extended Zeldovich mechanism by Miller et al (1998), which accounts for 13 species and up to 67 reactions and can led to a significant improvement of model accuracy. On the other hand, this approach could thwart the benefits of phenomenological models because of its higher computational complexity.…”

Section: Nitrogen Oxide Emissionsmentioning

confidence: 99%

See 2 more Smart Citations

Combustion Noise and Pollutants Prediction for Injection Pattern and Exhaust Gas Recirculation Tuning in an Automotive Common-Rail Diesel Engine

Arsie

Leo²,

Pianese³

et al. 2014

Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles

View full text Add to dashboard Cite

-In the last years, emissions standards for internal combustion engines are becoming more and more restrictive, particularly for NO x and soot emissions from Diesel engines. In order to comply with these requirements, Original Equipment Manufacturers (OEM) have to face with innovative combustion concepts and/or sophisticate after-treatment devices. In both cases, the role of the Engine Management System (EMS) is increasingly essential, following the large number of actuators and sensors introduced and the need to meet customer expectations on performance and comfort. On the other hand, the large number of control variables to be tuned imposes a massive recourse to the experimental testing which is poorly sustainable in terms of time and money. In order to reduce the experimental effort and the time to market, the application of simulation models for EMS calibration has become fundamental. Predictive models, validated against a limited amount of experimental data, allow performing detailed analysis on the influence of engine control variables on pollutants, comfort and performance. In this paper, a simulation analysis on the impact of injection pattern and Exhaust Gas Recirculation (EGR) rate on fuel consumption, combustion noise, NO and soot emissions is presented for an automotive Common-Rail Diesel engine. Simulations are accomplished by means of a quasi-dimensional multi-zone model of in-cylinder processes. Furthermore a methodology for in-cylinder pressure processing is presented to estimate combustion noise contribution to radiated noise. Model validation is carried out by comparing simulated in-cylinder pressure traces and exhaust emissions with experimental data measured at the test bench in steady-state conditions. Effects of control variables on engine performance, noise and pollutants are analyzed by imposing significant deviation of EGR rate and injection pattern (i.e. rail pressure, start-of-injection, number of injections). The results evidence that quasi-dimensional in-cylinder models can be effective in supporting the engine control design toward the optimal tuning of EMS with significant saving of time and money.

show abstract

Section: Arsie Et Al / Combustion Noise and Pollutants Predictionsupporting

confidence: 50%

Section: Nitrogen Oxide Emissionsmentioning

confidence: 99%

Section: Nitrogen Oxide Emissionsmentioning

confidence: 99%

See 1 more Smart Citation

Combustion Noise and Pollutants Prediction for Injection Pattern and Exhaust Gas Recirculation Tuning in an Automotive Common-Rail Diesel Engine

Arsie

Leo²,

Pianese³

et al. 2014

Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles

View full text Add to dashboard Cite

show abstract

“…The thermo NO x from the combustion of all the 8 components was negligible at the low temperature [23,24].…”

Section: Characteristics Of No X Emission During the Combustion Of Inmentioning

confidence: 98%

Influence of the interaction on NOx emission during co-combustion of combustible solid waste components

Chen

Liao

et al. 2016

Journal of the Energy Institute

View full text Add to dashboard Cite

“…The thermal NO formation was described by the extended Zeldovich mechanism [34,35], which was refined according to the super-extended Zeldovich mechanism [36]. The Zeldovich mechanism is enhanced by the high local temperatures of the gases, which cause O 2 dissociation, and by the quantity of O 2 in the burning region.…”

Section: Nox Formation Process and Recalls On The Previously Developementioning

confidence: 99%

A New Control-Oriented Semi-Empirical Approach to Predict Engine-Out NOx Emissions in a Euro VI 3.0 L Diesel Engine

Finesso

Hardy²,

Maino

et al. 2017

Energies

View full text Add to dashboard Cite

Abstract:The present study is focused on the development of a new control-oriented semi-empirical model to predict nitrogen oxide (NOx) emissions in a light-duty diesel engine under both steady-state and transient conditions. The model is based on the estimation of the deviations of NOx emissions, with respect to the nominal engine-calibration map values, as a function of the deviations of the intake oxygen concentration and of the combustion phasing. The model also takes into account the effects of engine speed, total injected quantity, and ambient temperature and humidity. The approach has been developed and assessed on an Fiat Powertrain Technologies (FPT) Euro VI 3.0 L diesel engine for light-duty applications, in the frame of a research project in collaboration with FPT Industrial.The model has also been tested on a rapid prototyping device, and it was shown that it requires a very short computational time, thus being suitable for implementation on the Engine Control Unit (ECU) for real-time NOx control tasks.

show abstract

A Super-Extended Zel'dovich Mechanism for Nox Modeling and Engine Calibration

Cited by 91 publications

References 18 publications

Combustion Noise and Pollutants Prediction for Injection Pattern and Exhaust Gas Recirculation Tuning in an Automotive Common-Rail Diesel Engine

Combustion Noise and Pollutants Prediction for Injection Pattern and Exhaust Gas Recirculation Tuning in an Automotive Common-Rail Diesel Engine

Influence of the interaction on NOx emission during co-combustion of combustible solid waste components

A New Control-Oriented Semi-Empirical Approach to Predict Engine-Out NOx Emissions in a Euro VI 3.0 L Diesel Engine

Contact Info

Product

Resources

About