scholarly journals The Comparative Study on Compressed Natural Gas (CNG) and Compressed Biomethane Gas (CBG) Fueled in a Spark Ignition Engine

2021 ◽  
Vol 302 ◽  
pp. 01005
Author(s):  
Tanat Limpachoti ◽  
Kampanart Theinnoi
Keyword(s):  
Natural Gas ◽  
Engine Performance ◽  
Maximum Load ◽  
Alternative Fuel ◽  
Spark Ignition ◽  
Spark Ignition Engine ◽  
Exhaust Emission ◽  
Compressed Natural Gas ◽  
Good Opportunity ◽  
Exhaust Gas Emission

Compressed biomethane gas (CBG) is an interesting alternative fuel that can be used to solve fossil fuel crisis problems. Nevertheless, it is concerned about engine performance and exhaust gas emission. In additions, CBG can be produced from agricultural harvesting residues and the food industry that is a good opportunity for utilizing biogas as a vehicle fuel. The aims of this research are comparative analysis of the engine performance and exhaust emission on a CBG and compressed natural gas (CNG) fuelled in a spark ignition engine on engine performance and emissions. The engine has been modified to operate with both fuel gases under constant engine load (50% maximum load) and engine speed (1500 - 3500 rpm). The results show that the engine operated with CBG has higher thermal efficiency with lower the nitrogen oxide (NOx) and hydrocarbon (HC) emissions compared with CNG. Thus, the CBG fuel can be used as an alternative fuel to substitute CNG fuel in the spark ignition engine. In additions, the results give the useful information for developed and optimised the engine operated with compression biogas to impact the higher demand of automotive fuels in the future.

Comparison of Random Forest and Neural Network in Modelling the Performance and Emissions of a Natural Gas Spark Ignition Engine

2021 ◽  
pp. 1-20
Author(s):  
Jinlong Liu ◽  
Qiao Huang ◽  
Christopher Ulishney ◽  
Cosmin E. Dumitrescu
Keyword(s):  
Neural Network ◽  
Random Forest ◽  
Natural Gas ◽  
Internal Combustion Engines ◽  
Engine Performance ◽  
Spark Ignition ◽  
Spark Ignition Engine ◽  
Data Driven ◽  
Ann Model ◽  
Mean Square Errors

Abstract Machine learning (ML) models can accelerate the development of efficient internal combustion engines. This study assessed the feasibility of data-driven methods towards predicting the performance of a diesel engine modified to natural gas spark ignition, based on a limited number of experiments. As the best ML technique cannot be chosen a priori, the applicability of different ML algorithms for such an engine application was evaluated. Specifically, the performance of two widely used ML algorithms, the random forest (RF) and the artificial neural network (ANN), in forecasting engine responses related to in-cylinder combustion phenomena was compared. The results indicated that both algorithms with spark timing, mixture equivalence ratio, and engine speed as model inputs produced acceptable results with respect to predicting engine performance, combustion phasing, and engine-out emissions. Despite requiring more effort in hyperparameter optimization, the ANN model performed better than the RF model, especially for engine emissions, as evidenced by the larger R-squared, smaller root-mean-square errors, and more realistic predictions of the effects of key engine control variables on the engine performance. However, in applications where the combustion behavior knowledge is limited, it is recommended to use a RF model to quickly determine the appropriate number of model inputs. Consequently, using the RF model to define the model structure and then employing the ANN model to improve the model's predictive capability can help to rapidly build data-driven engine combustion models.

scholarly journals Effect of Spark Advance on a Gas Run Automotive Spark Ignition Engine

2010 ◽  
pp. 42-49 ◽  
Author(s):  
Md Ehsan
Keyword(s):  
Natural Gas ◽  
Flame Propagation ◽  
Chemical Engineering ◽  
Engine Performance ◽  
Spark Ignition ◽  
Constant Load ◽  
Combustion Characteristics ◽  
Spark Ignition Engine ◽  
Optimum Performance ◽  
Automotive Engine

Petrol engines can run on natural gas, with little modification. The combustion characteristics of naturalgas is different from that of petrol, which eventually affects the engine performance. The performance of atypical automotive engine was studied running on natural gas, firstly at a constant speed for various loadsand then at a constant load for a range of speeds and results were compared with performance using petrol.Variation of the spark advance, consisting of centrifugal and vacuum advance mechanisms, wasinvestigated. Results showed some reduction in power and slight fall of efficiency and higher exhausttemperature, for natural gas. The air-fuel ratio for optimum performance was higher for gas than for petrol.This variation in spark requirement is mainly due to the slower speed of flame propagation for natural gas.For both the cases, the best power spark advance for natural gas was found to have higher values thanpetrol. This issue needs to be addressed during retrofitting petrol engines for running on natural gas.Journal of Chemical Engineering Vol.ChE 24 2006 42-49

Combustion, Knock and Emission Characteristics of a Natural Gas Fuelled Spark Ignition Engine with Particular Reference to Low Intake Temperature Conditions

1975 ◽  
Vol 189 (1) ◽  
pp. 139-147 ◽  
Author(s):  
G. A. Karim ◽  
I. A. Ali
Keyword(s):  
Natural Gas ◽  
Spark Ignition ◽  
Spark Ignition Engine ◽  
Chamber Pressure ◽  
Exhaust Emission ◽  
Emission Characteristics ◽  
Engine Operation ◽  
Temperature Conditions ◽  
Ignition Limits ◽  
Combustion Knock

For various fuel-air mixtures and different compression ratios, the intake temperature was varied over the entire range of ***200°F (366K) down to − 100°F (200K) when employing a single cylinder spark ignited research engine fuelled with natural gas. Performance data such as knock and ignition limits the nature and extent of exhaust emission and chamber pressure cyclic variation were obtained. Means were then suggested for the interpretation of the above mentioned data in terms of engine operation on liquefied natural gas. The experimental work confirmed in general the attractive features of the use of natural gas as a fuel in a spark ignition engine operated under extremely cold intake temperature conditions and that emissions of pollutants were not significantly increased.

scholarly journals Effect of ignition timing on engine characteristics of a single cylinder spark ignition engine with CNG fueled

2017 ◽  
Vol 20 (K6) ◽  
pp. 79-86
Author(s):  
Quoc Dang Tran
Keyword(s):  
Natural Gas ◽  
Thermal Efficiency ◽  
Engine Speed ◽  
Spark Ignition ◽  
Spark Ignition Engine ◽  
Ignition Timing ◽  
Compressed Natural Gas ◽  
Brake Thermal Efficiency ◽  
Timing System ◽  
Cng Engine

This article shows an investigated research on Compressed Natural Gas (CNG) engine with a port injection when varying ignition timing. The obtained results from simulating study have indicated that both of brake thermal efficiency and torque have a similar trend when varying ignition timing. The effect of ignition timing on the value of brake thermal efficiency is stronger in comparison with torque, however, the increase in engine speed or lambda value have to adjust the ignition timing more early. To reach the maximum break torque at each engine speed, the ignition timing should be adjusted IT = 14 - 32 bTDC, and this is also basic value to design the ignition timing system using CNG engine with port injection.

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