The Combustion and Emissions Performance of a Syngas-Diesel Dual Fuel Compression Ignition Engine

Guo, Hongsheng; Neill, W. Stuart; Liko, Brian

doi:10.1115/icef2016-9367

Cited by 19 publications

(7 citation statements)

References 11 publications

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“…But the use of syngas in IC engines nowadays has to be optimized, considering both efficiency (to limit the carbon footprint) and the exhaust emissions. Nonetheless, research on the characteristics of syngas fueled IC engines is limited [5,6,7,8,9,10,11,12].…”

Section: Introductionmentioning

confidence: 99%

Laminar flame speed of different syngas compositions for varying thermodynamic conditions

Castro

Bréquigny

Dufitumukiza

et al. 2021

Fuel

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Syngas (for synthetic gas) is a well known gaseous biofuel, also known as producer gas or wood gas. It is composed mainly of N 2 , CO 2 , CO, H 2 and CH 4 , with varying shares depending on the gasification process and biomass source.When syngas is used in Internal Combustion engines for stationary electricity generation, the operation modes have to be adapted. The problem is that, for the moment, the combustion parameters of complex syngas compositions are not fully covered by the literature. In this study, the laminar flame speeds and Markstein lengths are measured for three syngas compositions. This compositions were chosen to represent typical production of three types of gasifiers (Updraft, Downdraft and Fluidized Bed). Measurements were made at varying initial temperatures (298 to 423 K), pressures (1 to 5 bar) and equivalence ratios (0.6 to 1.4). The method used was the outwardly propagating spherical method. Higher H 2 and CO contents on the Updraft and Downdraft compositions produced flame speeds two times higher than the Fluidbed composition.Results were compared to the data from the only two previous studies but no quantitative agreement was found. The results obtained from kinetic modeling with four kinetic mechanisms provide a global agreement specially those from the CRECK mechanism that only deviated from the experimental results by 5 to 10%.

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Section: Introductionmentioning

confidence: 99%

Laminar flame speed of different syngas compositions for varying thermodynamic conditions

Castro

Bréquigny

Dufitumukiza

et al. 2021

Fuel

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“…Their results revealed that the rate of direct injection fuel was higher at maximum engine loads than at lower loads, so the engine performance should be lower than the full load to minimize diesel intake. Guo et al 22 focused on specifying the effects of syngas and diesel in a dual-fuel engine for different compositions of syngas on achieving lower thermal efficiencies for the dualfuel mode. Because H 2 and CO fuels do not emit soot, diesel was responsible for the soot emission.…”

Section: Introductionmentioning

confidence: 99%

Artificial Neural Network Modeling and Numerical Simulation of Syngas Fuel and Injection Timing Effects on the Performance and Emissions of a Heavy-Duty Compression Ignition Engine

et al. 2021

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The use of syngas as an alternative fuel in compression ignition engines is a potential way to curb the emission of pollutants and optimize the performance of these engines. The present research studied the effect of changing fuel injection timing and adding syngas on the output of a heavy-duty diesel engine. The optimal mode of the turbulence model, fuel spray model, combustion model, and pollutant emission model was used to solve computational fluid dynamics. Changing fuel injection timing from 70 to 10° before top dead center (BTDC) and diesel variants, including conventional diesel, diesel + 20% syngas, and diesel + 40% syngas, is the strategy studied here. It was found that the use of syngas could reduce emissions significantly. The in-cylinder mean effective pressure was the highest for diesel + 20% syngas. On the other hand, increasing the rate of syngas and retarding injection timing reduced the ignition period and in-cylinder temperature. The lowest rate of CO emission was obtained from diesel + 40% syngas at a fuel injection timing of 70° BTDC, whereas the lowest particulate matter emission was related to diesel + 40% syngas at 40° BTDC injection timing. The lowest rate of CO2 emission was related to diesel + 40% syngas at a fuel injection timing of 10° BTDC, while the same timing for conventional diesel exhibited the lowest NO X emission rate. Finally, the performance parameters of the engine including indicated power, indicated fuel consumption, and indicated thermal efficiency were decreased with the increase in syngas fraction, so that their highest values were obtained from the conventional diesel at the injection timing of 40° BTDC. In addition, an artificial neural network (ANN) model based on a standard back-propagation learning algorithm was developed for modeling the performance and emissions of the engine. The results for the optimum ANN model showed that the optimal ANN has two hidden layers with 20–25 neurons and the transfer function of logsig–logsig for hidden layers 1 and 2, respectively, and can predict different parameters of the engine for different modes. The correlation coefficients (R-value) of optimal topology for training, validation, and testing are 0.99992, 0.96612, and 0.93424, respectively. The results for the optimum ANN model showed that the constructed model sufficiently predicts the performance and emissions of the CI diesel engine.

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“…Investigations have also been carried out to study the effect of syngas substitution of fossil diesel on the performance of diesel-syngas dual-fuel Reactivity Controlled Compression Ignition (RCCI) engines [8][9][10][11][12]. Rith et al [8] and Kousheshi et al [9] utilised real syngas in their investigations while Mahgoub et al [10], Guo et al [11] and Olanrewaju et al [12] utilised simulated syngas in their investigations. These works confirm the feasibility of the use of diesel-syngas dual fuel in RCCI engines for power generation.…”

mentioning

confidence: 99%

Investigation of the heat release rate and particle generation during fixed bed gasification of sweet sorghum stalk

Olanrewaju

Andrews

et al. 2023

Fuel

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The Combustion and Emissions Performance of a Syngas-Diesel Dual Fuel Compression Ignition Engine

Cited by 19 publications

References 11 publications

Laminar flame speed of different syngas compositions for varying thermodynamic conditions

Laminar flame speed of different syngas compositions for varying thermodynamic conditions

Artificial Neural Network Modeling and Numerical Simulation of Syngas Fuel and Injection Timing Effects on the Performance and Emissions of a Heavy-Duty Compression Ignition Engine

Investigation of the heat release rate and particle generation during fixed bed gasification of sweet sorghum stalk

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