scholarly journals A Study the Effect of Biodiesel Blends and the Injection Timing on Performance and Emissions of Common Rail Diesel Engines

Energies ◽  
2021 ◽  
Vol 15 (1) ◽  
pp. 242
Author(s):  
Nguyen Tuan Nghia ◽  
Nguyen Xuan Khoa ◽  
Wonjun Cho ◽  
Ocktaeck Lim
Keyword(s):  
Fuel Consumption ◽  
Diesel Engines ◽  
Injection Timing ◽  
Replacement Rate ◽  
Simulated Fuel ◽  
Speed Range ◽  
Performance And Emissions ◽  
Biodiesel Blend ◽  
Fuel Consumption And Emissions ◽  
Engine Power

This paper presents a study on the effect of the ratio of biodiesel and injection timing on the performance of diesel engines and their emissions. The research engine is a cylinder engine AVL-5402, simulated by software AVL-Boost. The simulated fuel includes fossil diesel and biodiesel blended with a replacement rate from 0% to 50%, with a simulation mode of 2200 (rev/min), at a rate of a 25%, 50% and 75% load. In this speed range, the engine has the lowest fuel consumption. The parameters to be evaluated are power, fuel consumption and emissions, based on the proportions of blended biodiesel. The results show that there is a relationship between the proportion of blended biodiesel, injection timing and the parameters of the engine. Specifically, the ratio of the biodiesel blend increases, injection timing tends to move closer to the top dead center (TDC), the tendency reduce engine power, fuel consumption increases, the emissions of CO and soot reduces, while NOx increases.

Enhancing Diesel Engine Performance and Reducing Emissions Using Binary Biodiesel Fuel Blend

2019 ◽  
Vol 142 (1) ◽  
Author(s):  
Paramvir Singh ◽  
S. R. Chauhan ◽  
Varun Goel ◽  
Ashwani K. Gupta
Keyword(s):  
Fuel Consumption ◽  
Diesel Fuel ◽  
Diesel Engines ◽  
Transport Sector ◽  
Biodiesel Fuel ◽  
Injection Timing ◽  
Fuel Blend ◽  
Fuel Blends ◽  
Fuel Mixing ◽  
Ci Engines

Fossil fuel consumption provides a negative impact on the human health and environment in parallel with the decreased availability of this valuable natural resource for the future generations to use as a source of chemical energy for all applications in energy, power, and propulsion. The diesel fuel consumption in the transport sector is higher than the gasoline in most developing countries for reasons of cost and economy. Biodiesel fuel offers a good replacement for diesel fuel in compression ignition (CI) diesel engines. Earlier investigations by the authors revealed that a blend of 70% amla seed oil biodiesel and 30% eucalyptus oil (AB70EU30) is the favorable alternative renewable fuel blend that can be used as a fuel in diesel engines. With any fuel, air/fuel mixing and mixture preparation impact efficiency, emissions, and performance in CI engines. Minor adjustments in engine parameters to improve air/fuel mixing and combustion are deployable approaches to achieve good performance with alternative fuel blends in CI engines. This paper provides the role of a minor modification to engine parameters (compression ratio, injection timing, and injection pressure) on improved performance using the above mixture of binary fuel blends (AB70EU30). The results showed that the use of AB70EU30 in modified engine resulted in higher brake thermal efficiency and lower brake specific fuel consumption compared to normal diesel for improved combustion that also resulted in very low tailpipe emissions.

scholarly journals A Review of Early Injection Strategy in Premixed Combustion Engines

2019 ◽  
Vol 9 (18) ◽  
pp. 3737 ◽  
Author(s):  
Xingyu Liang ◽  
Zhiwei Zheng ◽  
Hongsheng Zhang ◽  
Yuesen Wang ◽  
Hanzhengnan Yu
Keyword(s):  
Diesel Engines ◽  
Alternative Fuels ◽  
Exhaust Emissions ◽  
Injection Timing ◽  
Compression Ignition ◽  
Injection Strategy ◽  
Advantages And Disadvantages ◽  
Injection Parameters ◽  
Performance And Emissions ◽  
Early Injection

Due to the increasing awareness of environmental protection, limitations on exhaust emissions of diesel engines have become increasingly stringent. This challenges diesel engine manufacturers to find a new balance between engine performance and emissions. Advanced combustion modes for diesel engines, such as homogeneous charge compression ignition (HCCI) and premixed charge compression ignition (PCCI), which can simultaneously reduce exhaust emissions and substantially improve thermal efficiency, have drawn increasing attention. In order to allow enough time to prepare the homogeneous mixture, the early injection strategy has been utilized widely in HCCI and PCCI diesel engines. This paper is aimed at providing a comprehensive review of the effects of early injection parameters on the performance and emissions of HCCI and PCCI engines fueled by both diesel and alternative fuels. Various early injection parameters, including injection pressure, injection timing, and injection angle, are discussed. In addition, the effect of the blending ratio of alternative fuels is also summarized. Every change in parameters has its own advantages and disadvantages, which are explained in detail in order to help researchers choose the best early injection parameters for HCCI and PCCI engines.

1-D Simulation of a Diesel Engines Injection Timing

2014 ◽  
Vol 494-495 ◽  
pp. 201-205
Author(s):  
Qian Xi Yin ◽  
Yu Liu ◽  
Guo Dong Feng ◽  
Qing Dang Wang ◽  
Feng Bian ◽  
...  
Keyword(s):  
Diesel Engines ◽  
Injection Timing ◽  
Emission Characteristics ◽  
Power Characteristics ◽  
Main Work ◽  
Output Torque ◽  
Main Injection ◽  
Simulation Results ◽  
Experimental Data Analysis ◽  
Engine Power

Using GT-POWER to simulate a diesel engines injection timing, calibrating simulation model has been done according to experimental data. Analysis of the effect on engine power characteristics and emission characteristics caused by different pre-injection timing and main injection timing is the main work. The simulation results show that, the output torque and NOx increased when the injection timing is advanced. In contrast, the soot emission is decreased when the injection timing is advanced.

Fuel Consumption and Emissions Effects in Passenger Car Diesel Engines through the Use of a Belt Starter Generator

2015 ◽  
Author(s):  
Frank Atzler ◽  
Michael Wegerer ◽  
Fabian Mehne ◽  
Stefan Rohrer ◽  
Christoph Rathgeber ◽  
...  
Keyword(s):  
Fuel Consumption ◽  
Diesel Engines ◽  
Passenger Car ◽  
Starter Generator ◽  
Fuel Consumption And Emissions

scholarly journals Impact of Diethyl Ether/Rapeseed Oil Blends on Performance and Emissions of a Light-Duty Diesel Vehicle

Energies ◽  
2020 ◽  
Vol 13 (15) ◽  
pp. 3788 ◽  
Author(s):  
Ruslans Smigins ◽  
Arturs Zakis
Keyword(s):  
Fuel Consumption ◽  
Diethyl Ether ◽  
Rapeseed Oil ◽  
Testing Conditions ◽  
Oil Blends ◽  
Light Duty ◽  
Performance And Emissions ◽  
Almost All ◽  
Diesel Vehicle ◽  
Engine Power

This article presents results of experimental study of diesel, rapeseed oil and three different blends of 10%, 20% and 30% diethyl ether addition to rapeseed oil, tested on VW Golf vehicle on chassis dynamometer Mustang MD-1750. Fuel consumption and emission tests were conducted at different testing conditions: idling, 50 km/h, 90 km/h, as also IM-240 cycle. The analysis of obtained results have shown reduction of engine power by 6.2%–17.3% and increase of fuel consumption by 0.6%–15.5% (based on testing conditions) for all blends based on DEE addition compared to RO, demonstrating better perspectives for low level blends. Emission tests have shown decrease of hydrocarbons and nitrogen oxides (NOx) for all blends with DEE content in almost all testing conditions and also slight increase of carbon monoxides and carbon dioxides compared to rapeseed oil. Largest decrease of NOx was observed during 90 km/h and cycle IM-240 reaching almost 24% reduction for 20DEE and 30DEE in comparison to neat RO.

Prediction and optimization of dual-fuel marine engine emissions and performance using combined ANN with PSO algorithms

2021 ◽  
pp. 146808742199047
Author(s):  
Cheng Ma ◽  
Chong Yao ◽  
En-Zhe Song ◽  
Shun-Liang Ding
Keyword(s):  
Neural Network ◽  
Fuel Consumption ◽  
Optimization Design ◽  
Rbf Neural Network ◽  
Engine Performance ◽  
Original Data ◽  
Dual Fuel ◽  
Injection Timing ◽  
Pilot Injection ◽  
Fuel Consumption And Emissions

With the increasingly stringent environmental issues and regulations, there are higher requirements for improving engine performance and reducing pollution. Combining artificial neural network and particle swarm optimization algorithm to optimize the fuel consumption and emissions for micro-ignition dual-fuel engines. A model-based calibration scheme is maintained to reduce the number of experimental points by employing space-filling and V optimization design, to save the experimental cost and improve efficiency. The experimental data used to establish an RBF neural network prediction model that achieves a perfect mapping of engine input and output parameters. Controllable variables such as speed, torque, main injection timing, pilot injection timing, pilot injection quantity, rail pressure, excess air coefficient, and substitution rate limit parameters are input as neural networks. Subsequently, the combination of control parameters was optimized through PSO, thereby to achieve fuel consumption and emissions trade-off. Matching experiment results show actual emissions of NOx, THC, and CO decreased by 20.5%, 30.3%, and 43.1%, respectively, and the BSFC declined by an average of 2.1% contrasted with the original data. It achieves the optimum of emission and fuel consumption at the same time.

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