scholarly journals Analysis of Engine Performance Parameters with Hydrogen Enrichment in Premixed Spark Ignition Engine Using Fuel Blend

2021 ◽  
Vol 4 (2) ◽  
Keyword(s):  
Internal Combustion Engines ◽  
Engine Performance ◽  
Spark Ignition ◽  
Independent Study ◽  
Spark Ignition Engine ◽  
Gasoline Direct Injection ◽  
Pure Hydrogen ◽  
Cylinder Pressure ◽  
Performance Parameters ◽  
Hydrogen Enrichment

Hydrogen enrichment in internal combustion engines has been a topic of research interest to improve engine efficiencies and reduce carbon emissions. Hydrogen enrichment has garnered more interest than the pure hydrogen powered engines due to less complexity involved with the modifications of the engine and fuel system as well as the infrastructure required for it. Similarly, accurate chemical kinetics has proved to provide accurate results in terms of engine performance parameters, such as, in-cylinder pressure. The present study is an extension of study performed earlier with hydrogen enrichment in gasoline direct injection engine while using C8 H17 as a surrogate fuel for gasoline and assumes that an on-board electrolysis system installed on the vehicle produces hydrogen for the enrichment purposes. A mesh independent study is performed using 90% iso-octane (iC8 H18) and 10% n-heptane (nC7 H16) blend as a gasoline surrogate with hydrogen enrichment of 0%, 1%, 2% and 3% at equivalence ratios of 0.98 and 1.3, in a premixed spark ignition engine. Numerical simulations are performed to calculate and compare the thermal and combustion efficiencies of the engine using hydrogen-enriched fuel versus iso-octane and n-heptane blend. The study also predicts and measures the engine performance parameter of in-cylinder pressure, while comparing the iso-octane and n-heptane blend against the blend enriched with hydrogen. Based on the results obtained from smaller hydrogen enrichment concentrations, the study increases the hydrogen-enrichment of the fuel to 5%, 10% and 15% to analyse the effects of enrichment on the thermal and combustion efficiencies, as well as the in-cylinder pressure.

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.

Analysis of performance parameters of an ethanol fueled spark ignition engine operating with hydrogen enrichment

2020 ◽  
Vol 45 (8) ◽  
pp. 5588-5606 ◽  
Author(s):  
Sami M.M.E. Ayad ◽  
Carlos R.P. Belchior ◽  
Gabriel L.R. da Silva ◽  
Renan S. Lucena ◽  
Edvaldo S. Carreira ◽  
...  
Keyword(s):  
Spark Ignition ◽  
Spark Ignition Engine ◽  
Performance Parameters ◽  
Hydrogen Enrichment ◽  
Analysis Of Performance

An experimental and analytical examination of the combustion period for gas-fuelled spark ignition engine applications

2001 ◽  
Vol 215 (1) ◽  
pp. 63-74 ◽  
Author(s):  
Bade S. O. Shrestha ◽  
G. A. Karim
Keyword(s):  
Engine Performance ◽  
Spark Ignition ◽  
Spark Ignition Engine ◽  
Performance Parameters ◽  
Gaseous Fuels ◽  
Effective Time ◽  
Time Period ◽  
Modelling Procedure ◽  
Predicted Values ◽  
The Moment

A predictive procedure is described for determining the effective time period needed to complete the energy release by combustion from the moment of flame initiation by a spark to the completion of flame propagation in a spark ignition engine while using a number of gaseous fuels and some of their mixtures. These predicted values of the combustion period when used in a relatively simple modelling procedure can produce predicted values of key engine performance parameters that compare well with the corresponding experimentally obtained values.

scholarly journals Evaluation of the impact of the hydration degree of bioethanol on the operation parameters of the spark-ignition engine

2017 ◽  
Vol 169 (2) ◽  
pp. 71-75
Author(s):  
Marlena OWCZUK ◽  
Anna MATUSZEWSKA ◽  
Małgorzata ODZIEMKOWSKA ◽  
Mateusz BEDNARSKI ◽  
Marcin WOJS ◽  
...  
Keyword(s):  
Water Content ◽  
Engine Performance ◽  
Spark Ignition ◽  
Alcohol Concentration ◽  
Spark Ignition Engine ◽  
Cylinder Pressure ◽  
Engine Torque ◽  
Measurement Results ◽  
High Engine Speed ◽  
The Impact

The article presents an overview of methods for the production of bioethanol and the possibility of its use to power internalcombustion engines. The effects of supplying spark-ignition engine with bioethanol having various degrees of hydration were examined experimentally on the engine dynamometer. The measurement results were referred to the anhydrous bioethanol, which is used widely as petrol biocomponent and compared in terms of the course of the pressure in the combustion chamber of the engine as well as engine performance parameters – torque and power. It was found that with the decrease in alcohol concentration, the performance of the sparkignition engine deteriorated. The reduction of in-cylinder pressure was proportional to the increase in the water content in the fuel. No significant changes in the general shape of in-cylinder pressure curves were observed. Engine torque and power decreased with an increase in the water content in the fuel, especially at high engine speed. It has been stated that supplying the engine with bioethanol containing up to 6% (v/v) of water does not result in significant losses in engine performance.

Numerical Simulations and Validation of Engine Performance Parameter in Direct Injection Spark Ignition (DISI) Engines Using Chemical Kinetics

2020 ◽  
Author(s):  
Muzammil Arshad
Keyword(s):  
Reaction Mechanism ◽  
Heat Release ◽  
Chemical Kinetics ◽  
Direct Injection ◽  
Engine Performance ◽  
Spark Ignition ◽  
Cylinder Pressure ◽  
Performance Parameters ◽  
Direct Injection Spark Ignition ◽  
Surrogate Fuel

Abstract Experimental studies have been augmented by computer modelling and simulations for the development and optimization of future fuels and automotive engines. Traditional reliance on the simplified global reactions for combustion simulations reduces the credibility of the prediction of combustion and engine performance parameters, such as in-cylinder pressure, heat release and pollutant formation. The study of engine performance parameters helps in improving the performance as well as the reduction of emissions in the engines. The present study has used detailed chemistry by augmenting the combustion model of a three-dimensional unsteady compressible turbulent Navier-Stokes solver with liquid spray injection by coupling its fluid mechanics solution with detailed kinetic reactions solved by a commercial chemistry solver. A skeletal reaction mechanism was reduced to study the in-cylinder pressure in a direct injection spark ignition (DISI) engine. Sensitivity analysis was performed to reduce the reaction mechanism for the compression and power strokes utilizing computational singular perturbation (CSP) method. An interface was developed between fluid dynamics and chemical kinetics codes to study iso-octane that is a well-established surrogate fuel for gasoline. Gasoline is a complex mixture of various compounds and hydrocarbons. The study used 90% iso-octane and 10% n-heptane as surrogate fuel because this combination best modelled the results. A mesh independent study was performed at stoichiometric conditions that validated and showed a good agreement of peak in-cylinder pressure against the experimental data for a direct injection spark ignition (DISI) engine. This study has been comprehensive as it includes a detailed study performed for premixed case at ϕ = 0.98 and 1.3 as well as stoichiometric condition in a direct injection spark ignition (DISI) engine, that resulted in the development of a reduced mechanism that has the capability to validate in-cylinder pressure and heat release rate from stoichiometric to rich mixtures for premixed cases in a spark ignition engine. The study concludes that it is imperative to establish a library of reduced mechanisms for various spark ignition engines as well as other combustion systems.

scholarly journals Performance and Emissions Analysis of N-Butanol Blended with Gasoline in Spark Ignition Engine

2018 ◽  
Vol 8 (4) ◽  
Author(s):  
Abdulrahman A ◽  
Adisa A. B. ◽  
Dandakouta H.
Keyword(s):  
Internal Combustion Engines ◽  
Combustion Engine ◽  
Specific Energy Consumption ◽  
Engine Performance ◽  
Internal Combustion ◽  
Spark Ignition ◽  
Spark Ignition Engine ◽  
Gaseous Emissions ◽  
Exhaust Temperature ◽  
Carbon Dioxide Co2

The power developed by an internal-combustion engine depends upon the fuel used for combustion. Fuels commonly used in internal combustion engines are derived from crude oil, which are depleting and are important sources of air pollution. In this study, n-butanol was used as an additive with gasoline as fuel in spark ignition engine. N-butanol exhibits good burning characteristics, contain oxygen, reduces some exhaust emissions and as well, has energy density and octane rating close to that of gasoline. The various blend rates (4, 8, 12, 16 and 20 percent by volume) were used in the engine performance analysis using a TD110-115 single cylinder, four-stroke air-cooled spark ignition engine test rig, under different loading conditions. An SV-5Q automobile exhausts gas analyzer was used to measure the concentration of gaseous emissions such as unburnt hydrocarbon (UHC), carbon monoxide (CO), and carbon dioxide (CO2 ) from the engine tail pipe. The results of engine performance showed reduction in the exhaust temperature was observed for the blends than to that of gasoline. It was observed that all the blends improved the brake thermal efficiency and exhibited high fuel consumption, lower specific energy consumption and lower emissions than gasoline. All the blends performed satisfactorily on spark-ignition engine without engine modification.

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