Emissions of NOx, NH3and Fuel Consumption Using High and Low Engine-Out NOxCalibrations to Meet 2010 Heavy Duty Diesel Engine Emission Standards

Ardanese, Michelangelo; Ardanese, Raffaello; Besch, Marc; Adams, Theodore R.; Sathi, Venkata; Shade, Benjamin C.; Gautam, Mridul; Oshinuga, Adewale; Miyasato, Matt

doi:10.4271/2009-01-0909

Cited by 6 publications

(23 citation statements)

References 23 publications

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“…This is the same engine used in the Advanced Diesel Emissions Control System (ADECS) study by Ardanese et. al [3], a predecessor to the current study.…”

Section: Test Articlementioning

confidence: 94%

“…Regardless, the holistic effect of SOI shows that reducing or delaying SOI will lower combustion temperatures and reduces peak in-cylinder pressures which decrease in-cylinder NOx formation also reduces brake-specific fuel consumption and increases soot formation. Advancing or increasing the SOI angle has the opposite effect on these combustion parameters, fuel consumption, NOx and soot emissions [3,19,36,41,[44][45][46].…”

Section: Start Of Injection (Soi)mentioning

confidence: 99%

“…Additionally, the Taguchi optimization method was used by Ardanese et. al [3] to meet current emissions standards using a 2007 model year heavy duty diesel engine.…”

Section: Optimization Techniquesmentioning

confidence: 99%

“…The 2010 regulated emission limits compliant Low-NOx calibration developed by Ardanese et. al [3] was used as the baseline calibrations for this study.…”

Section: Baseline and Validationmentioning

confidence: 99%

“…The growing complexities of diesel engine combustion and control strategies with large numbers of engine control parameters and advanced after-treatment thermal management control strategies make it a highly complex and challenging task to locate the optimal control strategy. Although there are statisticsbased techniques such as the Taguchi method used by Ardanese et al [3] and the steepest ascent/descent method [4], these methods primarily depend on the initial location of the optimization process and do not explore the entire search space. Evidently, there is a lack of a robust approach to simultaneously optimize the engine for performance and emissions over certification cycles and different vocations of the engine application [2,5,6].…”

mentioning

confidence: 99%

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Dual-layered Multi-Objective Genetic Algorithms (D-MOGA): A Robust Solution for Modern Engine Development and Calibrations

Padmavathy¹

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Dual-layered Multi-Objective Genetic Algorithms (D-MOGA): A Robust Solution for Modern Engine Development and Calibrations Pragalath Thiruvengadam Padmavathy Heavy-duty (HD) diesel engines are the primary propulsion systems used within the freight transportation sector and are subjected to stringent emissions regulations. The primary objective of this study is to develop a robust calibration technique for HD engine optimization in order to meet current and future regulated emissions standards during certification cycles and vocational activities such as drayage operations. Recently, California-Air Resources Board (C-ARB) has also shown interests in controlling off-certification cycle emissions from vehicles operating in the state of California by funding projects such as the Ultra-Low NOx study by Sharp et. al [1]. Moreover, there is a major push for the complex real-world driving emissions testing protocol as the confirmatory and certification testing procedure in Europe and Asia through the United Nations-Economic Commission for Europe (UN-ECE) and International Organization for Standardization (ISO). This calls for more advanced and innovative approaches to optimize engine operation to meet the regulated certification levels. A robust engine calibration technique was developed using dual-layered multi-objective genetic algorithms (D-MOGA) to determine necessary engine control parameter settings. The study focused on reducing fuel consumption and lowering oxides of nitrogen (NOx) emissions, while simultaneously increasing exhaust temperatures for thermal management of exhaust aftertreatment system. The study also focused on using D-MOGA to develop a calibration routine that simultaneously calibrates engine control parameters for transient certification cycles and

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“…This is the same engine used in the Advanced Diesel Emissions Control System (ADECS) study by Ardanese et. al [3], a predecessor to the current study.…”

Section: Test Articlementioning

confidence: 94%

Section: Start Of Injection (Soi)mentioning

confidence: 99%

“…Additionally, the Taguchi optimization method was used by Ardanese et. al [3] to meet current emissions standards using a 2007 model year heavy duty diesel engine.…”

Section: Optimization Techniquesmentioning

confidence: 99%

“…The 2010 regulated emission limits compliant Low-NOx calibration developed by Ardanese et. al [3] was used as the baseline calibrations for this study.…”

Section: Baseline and Validationmentioning

confidence: 99%

mentioning

confidence: 99%

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Dual-layered Multi-Objective Genetic Algorithms (D-MOGA): A Robust Solution for Modern Engine Development and Calibrations

Padmavathy¹

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Influence of Real-World Engine Load Conditions on Nanoparticle Emissions from a DPF and SCR Equipped Heavy-Duty Diesel Engine

Thiruvengadam

Besch

Carder

et al. 2012

Environ. Sci. Technol.

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The experiments aimed at investigating the effect of real-world engine load conditions on nanoparticle emissions from a Diesel Particulate Filter and Selective Catalytic Reduction after-treatment system (DPF-SCR) equipped heavy-duty diesel engine. The results showed the emission of nucleation mode particles in the size range of 6-15 nm at conditions with high exhaust temperatures. A direct result of higher exhaust temperatures (over 380 °C) contributing to higher concentration of nucleation mode nanoparticles is presented in this study. The action of an SCR catalyst with urea injection was found to increase the particle number count by over an order of magnitude in comparison to DPF out particle concentrations. Engine operations resulting in exhaust temperatures below 380 °C did not contribute to significant nucleation mode nanoparticle concentrations. The study further suggests the fact that SCR-equipped engines operating within the Not-To-Exceed (NTE) zone over a critical exhaust temperature and under favorable ambient dilution conditions could contribute to high nanoparticle concentrations to the environment. Also, some of the high temperature modes resulted in DPF out accumulation mode (between 50 and 200 nm) particle concentrations an order of magnitude greater than typical background PM concentrations. This leads to the conclusion that sustained NTE operation could trigger high temperature passive regeneration which in turn would result in lower filtration efficiencies of the DPF that further contributes to the increased solid fraction of the PM number count.

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Soot Modeling for Advanced Control of Diesel Engine Aftertreatment

Mulone

Cozzolini

Abeyratne

et al. 2011

Journal of Engineering for Gas Turbines and Power

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Diesel particulate filters (DPFs) are well assessed aftertreatment devices, equipping almost every modern diesel engine on the market to comply with today's stringent emission standards. However, an accurate estimation of soot loading, which is insttumental to ensuring optimal performance of the whole engine-after-treatment assembly, is stilt a major challenge. In fact, several highly coupled physical-chemical phenomena occur at the same time, and a vast number of engine and exhaust dependent parameters make this task even more daunting. This challenge may he solved with models characterized by different degrees of detail (0-D to 3-D} depending on the specific application. However, the use of real-time, but accurate enough models, may be the primat y hurdle that has to be overcome when confronted with advanced exhaust emissions control challenges, such as the integration of the DPF with the engine or other critical aftertreatment components (selective catalytic reduction or other A/O, control components), or to properly develop model-based OBD sensors. This paper aims at addressing real time DPF modeling issues with special regard to key parameter settings, by using the 1-D code called E.xhAUST (exhaust aftertreatment unified simulation tool), which was jointly developed by the University of Rome Tor Vergata and West Virginia University. ExhAUST is characterized by a novel and unique full analytical treatment of the wall that allows a highly detailed representation of the soot loading evolution inside the DPF porous matrix. Numerical results are compared with experimental data gathered at West Virginia University engine laboratory using a MY2004 Mack'MP7-355E, an II liter, 6-cylinder, inline heavy-duty diesel engine coupled to a Johnson Matthey CCRT diesel oxidation catalyst -f CDPF, catalyzed DPF exhau.'it aftertreatment system. To that aim, the engine test bench was equipped with a DPF weighing system to track soot loading over a specifically developed engine operating procedure. Residts indicate that the model is accurate enough to capture .wot loading and back pressure histories with regard to different steady state engine operating points, without a need for any tuning procedure of the key parameters. Thus, the use of ExhAUST for application to advanced after-treatment control appears to be a promising tool at this .stage.

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Emissions of NO_x, NH₃and Fuel Consumption Using High and Low Engine-Out NO_xCalibrations to Meet 2010 Heavy Duty Diesel Engine Emission Standards

Cited by 6 publications

References 23 publications

Dual-layered Multi-Objective Genetic Algorithms (D-MOGA): A Robust Solution for Modern Engine Development and Calibrations

Dual-layered Multi-Objective Genetic Algorithms (D-MOGA): A Robust Solution for Modern Engine Development and Calibrations

Influence of Real-World Engine Load Conditions on Nanoparticle Emissions from a DPF and SCR Equipped Heavy-Duty Diesel Engine

Soot Modeling for Advanced Control of Diesel Engine Aftertreatment

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