Simulation of Combustion in a DI Diesel Engine Operating on Biodiesel Blends

2011 ◽  
Author(s):  
Keshav S. Varde ◽  
Shubha K. Veeramachineni
Keyword(s):  
Diesel Engine ◽  
Simulation Model ◽  
Fuel Consumption ◽  
Diesel Engines ◽  
Engine Performance ◽  
Experimental Investigations ◽  
Oxides Of Nitrogen ◽  
Biodiesel Blends ◽  
Di Diesel Engine ◽  
The Impact

There has been considerable interest in recent years in using blends of petroleum diesel and biodiesels in diesel engines. Some of the interests arise in making use of renewable fuels, or in reducing dependency on imported fossil fuels and, in some cases, to provide economic boost to agricultural industry. It is believed that substitution of a small amount of biodiesel for petroleum diesel can reduce the import of fuel and help in trade balance. Biodiesels, whether derived from vegetable oils or animal fat, have many properties that align with those of petroleum diesel. This makes biodiesel a good candidate for blending it in small quantities with petroleum diesel. Studies have shown biodiesel blends to work well in diesel engines. However, experimental investigations of biodiesel blends have shown some discrepancies in engine thermal efficiency and emissions of NOx. A combustion simulation model for diesel engine may help to understand some of the differences in engine performance when different fuels are used. This paper deals with an existing simulation model that was applied to a diesel engine operating on biodiesel blends. The model was a modified version of GT-Power that was specifically modified to fit the test engine. The model was calibrated using a single cylinder, naturally aspirated, DI diesel engine operating on ultra-low sulfur (ULSD) diesel. It was used to predict engine performance when operating on different blends of soy biodiesel and ULSD. The simulation utilized detailed physical and chemical properties of the blends to predict cylinder pressures, fuel consumption, and emissions of oxides of nitrogen (NOx). Comparison between predicted and experimental values showed good correlations. The predicted trends in fuel consumption, emissions of NOx and smoke showed comparable trends. The model allows the user to change fuel properties to assess the impact of variations in blend composition on exhaust emissions. This paper discusses comparisons between the predicted and experimental results and how fuel composition can possibly impact NOx emissions.

scholarly journals INVESTIGATION ON DIESEL ENGINE FUELLED BY MAHUA BIODIESEL

2021 ◽  
Vol 9 (1) ◽  
pp. 436-443
Author(s):  
M.Kannan, R.Balaji, R.T Sarath Babu, Chandrakant B. Shende, Ashish Selokar
Keyword(s):  
Diesel Engine ◽  
Engine Performance ◽  
Primary Objective ◽  
Injection Timing ◽  
Emission Characteristics ◽  
Oxides Of Nitrogen ◽  
Fuel Blend ◽  
Biodiesel Blends ◽  
Mahua Oil ◽  
Mahua Biodiesel

The primary objective of this study is to discover the effects of injection timing on performance, emission and combustion characteristics effect of advanced and retarded injection timing of the engine fuelled with mahua oil biodiesel blends. The engine performance, combustion and emission characteristics of the mahua oil biodiesel blends (B20, B40, B60, B80and B100) are investigated in this experimentation without any modification of the diesel engine. At this advanced pressure t he efficiency of engine by means of CO, Unburned HC gases and smoke emissions with higher oxides of nitrogen was observed compared to diesel. The obtained results are compared with a neat diesel and mahua oil biodiesel blends are shown through the graphs. From this study, identifies optimum fuel blend of this work. Thus, the combustion of duration is similar in all variance in pressure. This research paved a way to bio-diesel in mahua oil mixture and draws best outcome in emission less and to maintain eco-friendly environment.  

Simultaneous Reduction of Oxides of Nitrogen and Smoke Emissions by Using EGR Combined With Particulate Trap in a DI Diesel Engine

2006 ◽  
Author(s):  
R. Anand ◽  
N. V. Mahalakshmi
Keyword(s):  
Diesel Engine ◽  
Low Cost ◽  
Direct Injection ◽  
Substantial Reduction ◽  
Load Condition ◽  
Engine Performance ◽  
Trapping Efficiency ◽  
Clay Material ◽  
Oxides Of Nitrogen ◽  
Di Diesel Engine

Exhaust gas recirculation (EGR) combined with particulate trap technology has proven to reduce nitrogen oxides (NOx) and smoke emissions simultaneously at relatively low cost compared to other reduction strategies. An experimental study was conducted on a single cylinder, direct injection (DI) diesel engine to study the effect of EGR on engine performance and emissions under constant speed of 1500 rpm at various loads. In the present work hot and cool EGR were used to control the formation of NOx in a D.I diesel engine. The findings of both hot and cool EGR are discussed and compared at full load condition corresponding to the maximum allowable EGR proportion of 15%. It is found that cool EGR has a substantial reduction in NOx and smoke emissions compared to hot EGR. Based on the above result it is found that suitable particulate trap which is cost effective and high trapping efficiency is needed before the EGR cooler to reduce the smoke emissions to meet the emission standards. In the present study a substrate made of clay material was used in the particulate trap. They were made into spheres and coated with copper and zinc oxide catalyst material. The results have shown that EGR combined with particulate trap simultaneously reduces the NOx and smoke emissions by 63% and 42% respectively where as it increases brake specific fuel consumption by 10% compared to baseline mode.

scholarly journals Enhancement in Combustion, Performance, and Emission Characteristics of a Diesel Engine Fueled with Ce-ZnO Nanoparticle Additive Added to Soybean Biodiesel Blends

Energies ◽  
2020 ◽  
Vol 13 (17) ◽  
pp. 4578 ◽  
Author(s):  
Fayaz Hussain ◽  
Manzoore Elahi M. Soudagar ◽  
Asif Afzal ◽  
M.A. Mujtaba ◽  
I.M. Rizwanul Fattah ◽  
...  
Keyword(s):  
Diesel Engine ◽  
Compression Ratio ◽  
Engine Performance ◽  
Emission Characteristics ◽  
Zno Nanoparticle ◽  
Oxides Of Nitrogen ◽  
Biodiesel Blends ◽  
Performance And Emission ◽  
Fuel Blends ◽  
Soybean Biodiesel

This study considered the impacts of diesel–soybean biodiesel blends mixed with 3% cerium coated zinc oxide (Ce-ZnO) nanoparticles on the performance, emission, and combustion characteristics of a single cylinder diesel engine. The fuel blends were prepared using 25% soybean biodiesel in diesel (SBME25). Ce-ZnO nanoparticle additives were blended with SBME25 at 25, 50, and 75 ppm using the ultrasonication process with a surfactant (Span 80) at 2 vol.% to enhance the stability of the blend. A variable compression ratio engine operated at a 19.5:1 compression ratio (CR) using these blends resulted in an improvement in overall engine characteristics. With 50 ppm Ce-ZnO nanoparticle additive in SBME25 (SBME25Ce-ZnO50), the brake thermal efficiency (BTE) and heat release rate (HRR) increased by 20.66% and 18.1%, respectively; brake specific fuel consumption (BSFC) by 21.81%; and the CO, smoke, and hydrocarbon (HC) decreased by 30%, 18.7%, and 21.5%, respectively, compared to SBME25 fuel operation. However, the oxides of nitrogen slightly rose for all the nanoparticle added blends. As such, 50 ppm of Ce-ZnO nanoparticle in the blend is a potent choice for the enhancement of engine performance, combustion, and emission characteristics.

ANALISIS UNJUK KERJA MESIN DIESEL DENGAN BAHAN BAKAR CAMPURAN PERTADEX DAN BIODIESEL DARI BIJI KEMIRI

ROTOR ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 10
Author(s):  
Moh. Wafir ◽  
Digdo Listyadi ◽  
Rahma Rei Sakura
Keyword(s):  
Diesel Engine ◽  
Fuel Consumption ◽  
Alternative Fuels ◽  
Performance Test ◽  
Engine Performance ◽  
Specific Fuel Consumption ◽  
Exhaust Gas ◽  
Engine Exhaust ◽  
Biodiesel Blends ◽  
Aleurites Moluccana

The decline in fuel oil production has led to the development of alternative fuels that are renewable and more environmentally friendly. An alternative fuel that can be developed is biodiesel. In this study aims to develop alternative biodiesel fuels as a substitute for fossil oil fuels that are feasible applied to diesel engines. This study conducted a diesel engine performance test using mixed fuel from pertadex and biodiesel Aleurites Moluccana with a variation of biodiesel mixture B10, B20, and B30. From the test results using a mixture of biodiesel, the ef ective power and torque produced by the engine decreases compared to using pure pertadex. Among the three variations of the biodiesel mixture, the best ef ective power produced by B10 fuel is 277 Watt and the best torque produced by B10 fuel is 1,238 Nm. Specific fuel consumption in all biodiesel blends is increased compared to pure pertadex. Among the three variations of the biodiesel mixture, the best specific fuel consumption produced by B30 fuel is 1197,67 g/kWh. The thermal ef iciency in all biodiesel blends is increased compared to pure pertadex in B20 and B30 blends. Among the three variations of the biodiesel mixture, the best thermal ef iciency produced by B20 fuel is 7,883 %. The opacity of the engine exhaust gas produced in all biodiesel mixes is getting better compared to using pure pertadex. The best opacity of the engine exhaust gas produced in the use of B30 fuel is 2,3% HSU. Keywords: Biodiesel, Aleurites Moluccana, Diesel Engine Performance, Opacity

Combustion and Emissions Characterization of Soy Methyl Ester Biodiesel Blends in an Automotive Turbocharged Diesel Engine

2010 ◽  
Vol 132 (9) ◽  
Author(s):  
Benjamin W. Moscherosch ◽  
Christopher J. Polonowski ◽  
Scott A. Miers ◽  
Jeffrey D. Naber
Keyword(s):  
Diesel Engine ◽  
Methyl Ester ◽  
Diesel Engines ◽  
Ignition Delay ◽  
Direct Injection ◽  
Cetane Number ◽  
Corporate Average Fuel Economy ◽  
Biodiesel Blends ◽  
Soy Methyl Ester ◽  
The Impact

Recent increases in petroleum fuel costs, corporate average fuel economy (CAFE) regulations, and environmental concerns about CO2 emissions from petroleum based fuels have created an increased opportunity for diesel engines and non-petroleum renewable fuels such as biodiesel. Additionally, the Environmental Protection Agencies Tier II heavy duty and light duty emissions regulations require significant reductions in NOx and diesel particulate matter emissions for diesel engines. As a result, the diesel engine and aftertreatment system is a highly calibrated system that is sensitive to fuel characteristics. This study focuses on the impact of soy methyl ester biodiesel blends on combustion performance, NOx, and carbonaceous soot matter emissions. Tests were completed using a 1.9 L, turbocharged direct injection diesel engine using commercially available 15 ppm ultra low sulfur (ULS) diesel, a soy methyl ester B20 biodiesel blend (20 vol % B100 and 80 vol % ULS diesel), and a pure soy methyl ester biodiesel. Results show a reduction in NOx and carbonaceous soot matter emissions, and an increase in brake specific fuel consumption with the use of biodiesel. Further, traditional methodology assumes that diesel fuels with a high cetane number have a reduced ignition delay. However, results from this study show the cetane number is not the only parameter effecting ignition delay due to increased diffusion burn.

Utilization of Low-Calorific Gaseous Fuel in a Direct-Injection Diesel Engine

2005 ◽  
Vol 128 (4) ◽  
pp. 915-920 ◽  
Author(s):  
Ali Mohammadi ◽  
Masahiro Shioji ◽  
Takuji Ishiyama ◽  
Masato Kitazaki
Keyword(s):  
Power Generation ◽  
Diesel Engine ◽  
Fuel Consumption ◽  
Diesel Fuel ◽  
Diesel Engines ◽  
Direct Injection ◽  
Engine Performance ◽  
Chemical Processes ◽  
Solid Wastes ◽  
Direct Injection Diesel Engine

Low-calorific gases with a small portion of hydrogen are produced in various chemical processes, such as gasification of solid wastes or biomass. The aim of this study is to clarify the efficient usage of these gases in diesel engines used for power generation. Effects of amount and composition of low-calorific gases on diesel engine performance and exhaust emissions were experimentally investigated adding hydrogen-nitrogen mixtures into the intake gas of a single-cylinder direct-injection diesel engine. The results indicate that optimal usage of low-calorific gases improves NOx and Smoke emissions with remarkable saving in diesel fuel consumption.

scholarly journals A Study on the Effects of Duration of Injection on Emissions and Combustion Characteristics in a Direct Injection Diesel Engine

2014 ◽  
Vol 17 (4) ◽  
pp. 67-76
Author(s):  
Em Van Tong Nguyen ◽  
Khai Le Duy Nguyen
Keyword(s):  
Diesel Engine ◽  
Direct Injection ◽  
Engine Performance ◽  
Combustion Characteristics ◽  
Injection Timing ◽  
Oxides Of Nitrogen ◽  
Direct Injection Diesel Engine ◽  
Maximum Value ◽  
Nitrogen Emission ◽  
Di Diesel Engine

This paper present a study of the effects of duration of injection on emissions and combustion characteristics in a direct injection diesel engine using CFD code KIVA-3V. In this study, duration of injection was also changed from 6o to 12o CA while the injection timing is constant to evaluate the effect on DI Diesel engine performance, indicated specific fuel consumption and particulates and oxides of nitrogen emission. The obtained results indicate that the capacity of the engine reaches its maximum value and NOx and soot emissions is decreased when the duration of injection is in the range of 6o to 9o CA.

scholarly journals The Concise Latest Report on the Advantages and Disadvantages of Pure Biodiesel (B100) on Engine Performance: Literature Review and Bibliometric Analysis

2021 ◽  
Vol 6 (3) ◽  
pp. 469-490
Author(s):  
Muji Setiyo ◽  
Dori Yuvenda ◽  
Olusegun David Samuel
Keyword(s):  
Diesel Engine ◽  
Fuel Consumption ◽  
Bibliometric Analysis ◽  
Diesel Engines ◽  
Thermal Efficiency ◽  
Raw Materials ◽  
Engine Performance ◽  
Diesel Oil ◽  
Specific Fuel Consumption ◽  
Advantages And Disadvantages

Currently, many countries are promoting B100 as the main fuel for diesel engines towards the transition to 100% renewable energy applications. However, due to its properties, B100 has both advantages and disadvantages to replace diesel oil. Therefore, a bibliometric analysis was carried out to evaluate the performance and emissions of a diesel engine with the B100 being tested on a multi-cylinder diesel engine for cars. Unfortunately, only 12 of the 127 selected articles are eligible to be reviewed in detail and none of them discusses all the key performance of diesel engines which include Brake Thermal Efficiency (BTE), Specific Fuel Consumption (SFC), Cylinder Pressure (CPs), Heat Release Rate (HRR), NOx, and smoke. Through data synthesis, we found that the use of B100 provides advantages in engine noise, thermal efficiency, specific fuel consumption, and emissions under certain engine loads. On the other hand, it also has the potential to result in poorer performance, if there is no modification to engine components and the addition of additives. As a recommendation, the results of this analysis provide a guide for further research to examine the use of B100 with all diesel engine performance variables. Research paths can be developed with the wider potential to provide new arguments on various diesel engine technologies, engine capacities, B100 raw materials, and test environments.

scholarly journals Diesel engine performance modelling using neural networks

2005 ◽  
Author(s):  
◽  
Mark Steve Rawlins
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Diesel Engine ◽  
Fuel Consumption ◽  
Diesel Engines ◽  
Engine Performance ◽  
Specific Fuel Consumption ◽  
Engine Fuel ◽  
Modular Network ◽  
Feed Forward

The aim of this study is to develop, using neural networks, a model to aid the performance monitoring of operational diesel engines in industrial settings. Feed-forward and modular neural network-based models are created for the prediction of the specific fuel consumption on any normally aspirated direct injection four-stroke diesel engine. The predictive capability of each model is compared to that of a published quadratic method. Since engine performance maps are difficult and time consuming to develop, there is a general scarcity of these maps, thereby limiting the effectiveness of any engine monitoring program that aims to manage the fuel consumption of an operational engine. Current methods applied for engine consumption prediction are either too complex or fail to account for specific engine characteristics that could make engine fuel consumption monitoring simple and general in application. This study addresses these issues by providing a neural network-based predictive model that requires two measured operational parameters: the engine speed and torque, and five known engine parameters. The five parameters are: rated power, rated and minimum specific fuel consumption bore and stroke. The neural networks are trained using the performance maps of eight commercially available diesel engines, with one entire map being held out of sample for assessment of model generalisation performance and application validation. The model inputs are defined using the domain expertise approach to neural network input specification. This approach requires a thorough review of the operational and design parameters affecting engine fuel consumption performance and the development of specific parameters that both scale and normalize engine performance for comparative purposes. Network architecture and learning rate parameters are optimized using a genetic algorithm-based global search method together with a locally adaptive learning algorithm for weight optimization. Network training errors are statistically verified and the neural network test responses are validation tested using both white and black box validation principles. The validation tests are constructed to enable assessment of the confidence that can be associated with the model for its intended purpose. Comparison of the modular network with the feed-forward network indicates that they learn the underlying function differently, with the modular network displaying improved generalisation on the test data set. Both networks demonstrate improved predictive performance over the published quadratic method. The modular network is the only model accepted as verified and validated for application implementation. The significance of this work is that fuel consumption monitoring can be effectively applied to operational diesel engines using a neural network-based model, the consequence of which is improved long term energy efficiency. Further, a methodology is demonstrated for the development and validation testing of modular neural networks for diesel engine performance prediction.

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