A control-oriented real-time semi-empirical model for the prediction of NOx emissions in diesel engines

D’Ambrosio, Stefano; Finesso, Roberto; Fu, Lezhong; Mittica, Antonio; Spessa, Ezio

doi:10.1016/j.apenergy.2014.05.046

Cited by 64 publications

(43 citation statements)

References 25 publications

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“…The SVM is the most appropriate method for obtaining the prediction model of a stochastic system from a small A good number of research activities have been conducted and have proposed a variety of ways for predicting NO x emissions [16][17][18][19]. A study [20] used artificial neural networks to build a prediction model for CO 2 , soot, and NO x .…”

Section: Experimental Setup and Methodsmentioning

confidence: 99%

Modeling and Multi-Objective Optimization of NOx Conversion Efficiency and NH3 Slip for a Diesel Engine

Liu

Yan

et al. 2016

Sustainability

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Abstract:The objective of the study is to present the modeling and multi-objective optimization of NO x conversion efficiency and NH 3 slip in the Selective Catalytic Reduction (SCR) catalytic converter for a diesel engine. A novel ensemble method based on a support vector machine (SVM) and genetic algorithm (GA) is proposed to establish the models for the prediction of upstream and downstream NO x emissions and NH 3 slip. The data for modeling were collected from a steady-state diesel engine bench calibration test. After obtaining the two conflicting objective functions concerned in this study, the non-dominated sorting genetic algorithm (NSGA-II) was implemented to solve the multi-objective optimization problem of maximizing NO x conversion efficiency while minimizing NH 3 slip under certain operating points. The optimized SVM models showed great accuracy for the estimation of actual outputs with the Root Mean Squared Error (RMSE) of upstream and downstream NO x emissions and NH 3 slip being 44.01ˆ10´6, 21.87ˆ10´6 and 2.22ˆ10´6, respectively. The multi-objective optimization and subsequent decisions for optimal performance have also been presented.

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Section: Experimental Setup and Methodsmentioning

confidence: 99%

Modeling and Multi-Objective Optimization of NOx Conversion Efficiency and NH3 Slip for a Diesel Engine

Liu

Yan

et al. 2016

Sustainability

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“…NO 2 emissions in diesel engines are generally around 10-30% of the total NOx emissions, especially at lower load conditions [31,32]. However, in the literature, only the NO emissions are generally modeled, and the values of predicted NO values are taken as representative of the total NOx emission levels [20]. The NO formation process mainly depends on several mechanisms: the thermal mechanism, which is temperature-dependent, the prompt mechanism [33] and the fuel-derived NO mechanism [20].…”

Section: Nox Formation Process and Recalls On The Previously Developementioning

confidence: 99%

“…The semi-empirical approach previously proposed by the authors in [20] was based on several variables, which were identified starting from the analysis of the NOx formation rate according to the Zeldovich mechanism. These variables are the maximum temperature of the burned gases during the combustion of the main pulse 'T bmax,main ', the total mass of injected fuel (m fuel ) (or, analogously, the total injected fuel volume quantity, 'q f,inj '), the engine speed 'N', the injection pressure 'p f ' and the stoichiometric in-cylinder charge-to-fuel ratio 'α u st '.…”

Section: Nox Formation Process and Recalls On The Previously Developementioning

confidence: 99%

“…These variables are the maximum temperature of the burned gases during the combustion of the main pulse 'T bmax,main ', the total mass of injected fuel (m fuel ) (or, analogously, the total injected fuel volume quantity, 'q f,inj '), the engine speed 'N', the injection pressure 'p f ' and the stoichiometric in-cylinder charge-to-fuel ratio 'α u st '. The NOx model reported in [20] needs to be coupled with a predictive combustion model, in order to estimate the temperature of the burned gases.…”

Section: Nox Formation Process and Recalls On The Previously Developementioning

confidence: 99%

“…The acronym "NOx" is generally intended as the sum of NO (nitrogen monoxide) and NO 2 (nitrogen dioxide) emissions [20]. NO 2 emissions in diesel engines are generally around 10-30% of the total NOx emissions, especially at lower load conditions [31,32].…”

Section: Nox Formation Process and Recalls On The Previously Developementioning

confidence: 99%

See 2 more Smart Citations

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

Self Cite

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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.

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Modeling and sensitivity analysis of NOx emissions and mechanical efficiency for diesel engine

Sharifi

Ahmadi

Badfar

et al. 2019

Environ Sci Pollut Res

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A control-oriented real-time semi-empirical model for the prediction of NOx emissions in diesel engines

Cited by 64 publications

References 25 publications

Modeling and Multi-Objective Optimization of NOx Conversion Efficiency and NH3 Slip for a Diesel Engine

Modeling and Multi-Objective Optimization of NOx Conversion Efficiency and NH3 Slip for a Diesel Engine

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

Modeling and sensitivity analysis of NOx emissions and mechanical efficiency for diesel engine

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