Numerical investigation of soot formation and oxidation processes under large two-stroke marine diesel engine-like conditions using integrated CFD-chemical kinetics

Pang, Kar Mun; Karvounis, Nikolas; Walther, Jens Honoré; Schramm, Jesper

doi:10.1016/j.apenergy.2016.02.081

Cited by 67 publications

(36 citation statements)

References 39 publications

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“…Performance under fault conditions [8], the formation of noxious emissions [9][10][11], the employment of exhaust gas recirculation to decrease it [12], and instantaneous change in the properties of exhaust gas [13] besides the condensation of combustion products [14] may be assessed by 0-D modelling. On the other hand, the simulation of in-cylinder flow on different piston-bowl geometries [15], the investigation of soot formation and oxidation processes [16], as well as the investigation of the effects of inlet pressure, exhaust-gas recirculation, and the start of injection time on gaseous emissions [17], may be performed by CFD modelling.…”

Section: Introductionmentioning

confidence: 99%

An Approach for Predicting the Specific Fuel Consumption of Dual-Fuel Two-Stroke Marine Engines

Marques

Caprace

Belchior

et al. 2019

JMSE

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Increasing environmental demands, alongside the planned penetration of natural gas as marine fuel, have rendered dual-fuel engines as an attractive prime mover alternative. In this context, knowing the specific fuel consumption is essential to selecting the most efficient engine. The specific fuel consumption can be approached by simulation models with varying levels of complexity that are either implemented by basic programming languages or simulated by dedicated packages. This study aims to develop a simplified model to predict the specific fuel consumption of dual-fuel two-stroke marine engines driving fixed or controllable pitch propellers. The model relies on clear trends approachable by polynomials that were revealed by normalizing specific fuel consumption. This model requires only the value of specific fuel consumption at a nominal maximum continuous rating to predict the engine consumption at any specified rating, including at partial engine load. The outcome of the study shows that the maximum deviations regarding the two simulated engines did not exceed −3.6%. In summary, the proposed model is a fast and effective tool for optimizing the selection of dual-fuel, two-stroke Diesel engines regarding fuel consumption.

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Section: Introductionmentioning

confidence: 99%

An Approach for Predicting the Specific Fuel Consumption of Dual-Fuel Two-Stroke Marine Engines

Marques

Caprace

Belchior

et al. 2019

JMSE

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“…Due to the aforementioned reasons, sulfuric acid condensation and cold corrosion for HFO fueled marine engines is an active ongoing research field [6,7,8,9,10]. Nevertheless, there is no open literature to date for engine sulfuric acid condensation simulations using three-dimensional (3D) computational fluid dynamics (CFD) modeling.…”

Section: Introductionmentioning

confidence: 99%

“…The latter one is presented inTable 2.The chemical reactions are coupled to the CFD model with the DARS-CFD solver[18] using the well stirred reactor model. More details on the engine model can be found in Pang et al[9,10]. In the present work, a modified version of the model by Pang et al[9,10] is used in order to accommodate the additional fluid film model.…”

mentioning

confidence: 99%

“…More details on the engine model can be found in Pang et al[9,10]. In the present work, a modified version of the model by Pang et al[9,10] is used in order to accommodate the additional fluid film model. The first modification concerns the near wall mesh resolution with an increased minimum near wall cell thickness of 2.3 × 10 −6 m which is around 5 times coarser than what is used in[9,10].…”

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confidence: 99%

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Numerical simulation of condensation of sulfuric acid and water in a large two-stroke marine diesel engine

Karvounis

Pang

Mayer³

et al. 2018

Applied Energy

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“…Turbulent flows with complex aerosol dynamics of polydispersed particles are encountered in many scientific and engineering problems. Examples mainly include the exhaust particle formation and evolution in the wake of the studied ground vehicle (Chan et al 2010), the dynamics and dispersion of nanoparticles in urban atmospheric environment (Yu et al 2009;Kumar et al 2011), the nanoparticle synthesis in turbulent reacting flows (Yu et al 2008;Akroyd et al 2011), and the formation of soot particles in combustion engines (Chan and Cheng 2007;Cenker et al 2013;Pang et al 2016). Particles involved in the aerosol processes are characterized by a polydispersed particle size distribution (PSD).…”

Section: Introductionmentioning

confidence: 99%

A coupled CFD-Monte Carlo method for simulating complex aerosol dynamics in turbulent flows

Liu

Chan

2016

Aerosol Science and Technology

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A coupled computational fluid dynamics (CFD)-Monte Carlo method is presented to simulate complex aerosol dynamics in turbulent flows. A Lagrangian particle method-based probability density function (PDF) transport equation is formulated to solve the population balance equation (PBE) of aerosol particles. The formulated CFD-Monte Carlo method allows investigating the interaction between turbulence and aerosol dynamics and incorporating individual aerosol dynamic kernels as well as obtaining full particle size distribution (PSD). Several typical cases of aerosol dynamic processes including turbulent coagulation, nucleation and growth are studied and compared to the sectional method with excellent agreement. Coagulation in both laminar and turbulent flows is simulated and compared to demonstrate the effect of turbulence on aerosol dynamics. The effect of jet Reynolds (Re j) number on aerosol dynamics in turbulent flows is fully investigated for each of the studied cases. The results demonstrate that Re j number has significant impact on a single aerosol dynamic process (e.g., coagulation) and the simultaneous competitive aerosol dynamic processes in turbulent flows. This newly modified CFD-Monte Carlo/PDF method renders an efficient method for simulating complex aerosol dynamics in turbulent flows and provides a better insight into the interactions between turbulence and the full PSD of aerosol particles.

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Numerical investigation of soot formation and oxidation processes under large two-stroke marine diesel engine-like conditions using integrated CFD-chemical kinetics

Cited by 67 publications

References 39 publications

An Approach for Predicting the Specific Fuel Consumption of Dual-Fuel Two-Stroke Marine Engines

An Approach for Predicting the Specific Fuel Consumption of Dual-Fuel Two-Stroke Marine Engines

Numerical simulation of condensation of sulfuric acid and water in a large two-stroke marine diesel engine

A coupled CFD-Monte Carlo method for simulating complex aerosol dynamics in turbulent flows

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