Ammonia injection failure diagnostic and correction in engine after-treatment system by NOx and NH3 emissions observation

Plá, Benjamín; Bares, Pau; Sanchis, Enrique José; Aronis, André

doi:10.1016/j.fuel.2022.123936

Cited by 5 publications

(6 citation statements)

References 34 publications

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“…By comparing the measured N O x and ammonia emissions with NN model predictions, the ammonia injection failure was detected successfully. 146…”

Section: Applications Of Data-driven Approaches In After-treatment Sy...mentioning

confidence: 99%

“…By comparing the measured NO x and ammonia emissions with NN model predictions, the ammonia injection failure was detected successfully. 146 Except for ANN, other data-driven approaches were also widely conducted in the SCR system. SCR modeling via SVM and GA were presented in Liu et al 147 The SVM-GA method was utilized to construct the data-driven model, and then the algorithm of NSGA-II was applied to deal with the multi-objective optimization of NO x conversion efficiency and ammonia slip.…”

Section: Elmmentioning

confidence: 99%

See 1 more Smart Citation

Data-driven control of automotive diesel engines and after-treatment systems: State of the art and future challenges

Jiang

Yan

Zhang

2022

Proceedings of the Institution of Mechanical Engineers, Part D:

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Model-based approaches have played a significant role in automotive electronics for diesel engines and aftertreatment systems, while they also have some drawbacks that cannot be neglected, such as difficult model construction and time-consuming model calibration. To this end, data-driven techniques have been put forward and become a topical issue in diesel engines and aftertreatment systems. This article provides an overview of the recent progress of the last decade in data-driven techniques and relevant applications for diesel engines and aftertreatment systems. Moreover, brief future trends, challenges, and opportunities of data-driven strategies and potential applications in this field are further discussed.

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“…By comparing the measured N O x and ammonia emissions with NN model predictions, the ammonia injection failure was detected successfully. 146…”

Section: Applications Of Data-driven Approaches In After-treatment Sy...mentioning

confidence: 99%

Section: Elmmentioning

confidence: 99%

Data-driven control of automotive diesel engines and after-treatment systems: State of the art and future challenges

Jiang

Yan

Zhang

2022

Proceedings of the Institution of Mechanical Engineers, Part D:

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“…[6] However, the reductant (NH 3 ) used in the NH 3 -SCR system bring safety concern, additional costs and secondary pollution because of the NH 3 slip. [7] Consequently, considerable studies have been conducted to find alternatives to NH 3 for the catalytic reduction of NO x . [8] Reducing gases such as H 2 , H x C y , and CO have been proven the most promising alternative reducing agent for the SCR reaction.…”

Section: Introductionmentioning

confidence: 99%

Stability challenges and prospects for the industrial application of non‐noble catalysts for selective catalytic reduction of NO_x by CO (CO‐SCR)

Li,

Wang,

et al. 2024

ChemCatChem

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The selective catalytic reduction of NOx by CO (CO‐SCR) holds considerable promise as a simple and cost‐effective technology capable of concurrently removing CO and NOx from mobile and stationary sources. This is especially pertinent for industry sectors with high CO emissions, such as the iron and steel industry, making CO‐SCR an attractive solution with significant industrial applicability. However, the widespread adoption of this technology faces several limiting factors, of which the impacts of SO2, H2O, and O2 on catalyst performance and stability are most pronounced. Current research into these specific constraints is not yet exhaustive, rendering the comprehensive industrial implementation of CO‐SCR technology a challenging endeavour. As such, this review paper seeks to concentrate on variables that impede the industrial utilization of CO‐SCR technology. It encapsulates the existing bottlenecks and underscores the criticality of resolving the inhibitory effects of O2 on the CO‐SCR reaction as the most pressing issue in contemporary research.

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“…[10][11][12] In this regard, exhaust emissions models participate into optimizing control strategies and improving diagnostics capabilities. [13][14][15][16] Among the regulated pollutants, nitrogen oxides (NO x ) emission has received a particular attention from the industry and the research community due to its harmful potential on health. [17][18][19][20] From empirical and physical models based on detailed or map-based process, 21,22 engine block vibration, 23 in-cylinder pressure signal, [24][25][26][27][28][29] variables available in the engine control unit (ECU), 30 or learning methods, [31][32][33][34] various approaches were explored for the real-time prediction of NO x emissions.…”

Section: Introductionmentioning

confidence: 99%

“…10–12 In this regard, exhaust emissions models participate into optimizing control strategies and improving diagnostics capabilities. 13–16…”

Section: Introductionmentioning

confidence: 99%

Predicting instantaneous engine-out NO_x emissions in a real-driving vehicle data scenario

Barbier

Salavert

Palau

et al. 2023

International Journal of Engine Research

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As type approval driving cycles were found to be insufficient to represent the real impact of emissions from on-road vehicles, it became clear that real-driving emissions must be considered to effectively address the current transportation challenges. The expected introduction of on-board emission monitoring is believed to require tools that will evaluate the on-road emissions conformity of vehicles over their lifetime. In this regard, the significant amount of data made available from modern vehicles opens for improved emissions prediction and diagnostics opportunities. This article explores therefore the effectiveness of predicting instantaneous engine-out [Formula: see text] emissions given in-service vehicle data alone. To this end, a 9 months daily vehicle usage database was used to calibrate and evaluate a semi-empirical [Formula: see text] emission model and the results showed good agreement with measurements provided by the production sensor. This approach offers a tool for simulating real-driving engine-out [Formula: see text] emissions that could help to comply with emission standards by feeding and updating advanced emissions control strategies.

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Ammonia injection failure diagnostic and correction in engine after-treatment system by NOx and NH3 emissions observation

Cited by 5 publications

References 34 publications

Data-driven control of automotive diesel engines and after-treatment systems: State of the art and future challenges

Data-driven control of automotive diesel engines and after-treatment systems: State of the art and future challenges

Stability challenges and prospects for the industrial application of non‐noble catalysts for selective catalytic reduction of NO_x by CO (CO‐SCR)

Predicting instantaneous engine-out NO_x emissions in a real-driving vehicle data scenario

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Ammonia injection failure diagnostic and correction in engine after-treatment system by NOx and NH3 emissions observation

Cited by 5 publications

References 34 publications

Data-driven control of automotive diesel engines and after-treatment systems: State of the art and future challenges

Data-driven control of automotive diesel engines and after-treatment systems: State of the art and future challenges

Stability challenges and prospects for the industrial application of non‐noble catalysts for selective catalytic reduction of NOx by CO (CO‐SCR)

Predicting instantaneous engine-out NOx emissions in a real-driving vehicle data scenario

Contact Info

Product

Resources

About

Stability challenges and prospects for the industrial application of non‐noble catalysts for selective catalytic reduction of NO_x by CO (CO‐SCR)

Predicting instantaneous engine-out NO_x emissions in a real-driving vehicle data scenario