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

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.

2017 ◽  
Vol 6 (1) ◽  
pp. 1-7 ◽  
Author(s):  
Tuan Anh Hoang ◽  
Vang Van Le

Fossil fuel crisis and depletion, environmental pollution and ever-increase in vehicle and transportation means have renewed the scientist’s interest in the world in order to look for potential alternative fuels, which are attractive such as biodiesel, bioethanol, DME and vegetable oils. Inedible vegetable oils such as coconut oil, Jatropha oil, linseed oil or animal fat are full of potential for using directly or manufacturing biodiesel. This work is carried out in order to study the four stroke diesel engine D240 performance characteristics fueled with preheated pure coconut oil (PCO), Jatropha oil methyl ester (JOME) and compare with diesel oil (DO). The test diesel engine performance such as power (Ne), torque (Me), specific fuel consumption (ge) and thermal efficiency (ηe) is determined, calculated and evaluated while using JOME, preheated PCO and compared to DO. The results show that, power (Ne), torque (Me) and thermal efficiency (ηe) while engine is fueled with JOME and PCO are lower, otherwise specific fuel consumption (ge) is higher than those of diesel fuel, the test engine performance are gained the best for JOME and PCO100.Article History: Received Dec 9, 2016; Received in revised form January 28, 2017; Accepted February 4, 2017; Available onlineHow to Cite This Article: Hoang, T.A and Le,V. V. (2017). The Performance of A Diesel Engine Fueled With Diesel Oil, Biodiesel and Preheated Coconut Oil. International Journal of Renewable Energy Development, 6(1), 1-7.http://dx.doi.org/10.14710/ijred.6.1.1-7


2018 ◽  
Vol 3 (2) ◽  
pp. 98-105
Author(s):  
Didit Sumardiyanto ◽  
Sri Endah Susilowati

AbstrakPenelitian ini dilakukan untuk mengetahui  pengaruh  pompa injeksi bahan bakar tekanan tinggi terhadap kinerja sebuah mesin pada mesin penggerak utama MV. ALAM JAYA II yang menggunakan mesin diesel YANMAR type M22-EN. Berdasarkan data-data yang diperoleh dilapangan, setelah dilakukan pembahasan bahwa tekanan pompa injeksi berpengaruh pada kinerja mesin diesel. Untuk tekanan pompa injeksi sebesar 820 kgf/cm2, kinerja yang dihasilkan mesin adalah : Daya Indikator 1204 kgf/cm2, Daya Efektif 1016 kgf/cm2, Efisiensi Thermal Efektif 32,0% dan konsumsi bahan bakar spesifik sebesar 192 g/hp.h. Sedangkan setelah dilakukan perbaikan pompa injeksi, tekanan pompa menjadi 1120 kgf/cm2, kinerja yang dihasilkan oleh mesin adalah : Daya efektif 1399 hp, Daya Efektif 1195 hp, Efisiensi Thermal Efektif : 37.32%, dan Konsumsi Bahan Bakar Spesifik sebesar 165.7 g/hp.h Dengan adanya perbaikan pompa injeksi sehingga dapat menaikkan tekanan injeksi dari 880 kgf/cm2 menjadi 1120 kgf/cm2, maka kinerja mesin dapat ditingkatkan Kata kunci: mesin diesel,pompa injeksi, kinerja mesin AbstractThis research was conducted to determine the effect of high pressure fuel injection pump on the performance of a machine on the MV main drive engine. ALAM JAYA II which uses the YANMAR type M22-EN diesel engine. Based on the data obtained in the field, after discussion that the injection pump pressure affects the performance of the diesel engine. For injection pump pressure of 820 kgf /cm2, the engine performance is: Indicator Power 1204 kgf /cm2, Effective Power of 1016 kgf /cm2, Effective Thermal Efficiency of 32.0% and specific fuel consumption of 192 g / hp.h. Whereas after the injection pump repairs, the pump pressure becomes 1120 kgf / cm2, the performance produced by the engine is: Effective 1399 hp, Effective 1195 hp, Effective Thermal Efficiency: 37.32%, and Specific Fuel Consumption of 165.7 g / hp. H With the improvement of the injection pump so that it can increase the injection pressure from 880 kgf / cm2 to 1120 kgf /cm2, the engine performance can be improvedKeywords: diesel engine, injection pump, engine performance


2005 ◽  
Author(s):  
◽  
Mark Steve Rawlins

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.


Author(s):  
Dimitrios T. Hountalas ◽  
Spiridon Raptotasios ◽  
Antonis Antonopoulos ◽  
Stavros Daniolos ◽  
Iosif Dolaptzis ◽  
...  

Currently the most promising solution for marine propulsion is the two-stroke low-speed diesel engine. Start of Injection (SOI) is of significant importance for these engines due to its effect on firing pressure and specific fuel consumption. Therefore these engines are usually equipped with Variable Injection Timing (VIT) systems for variation of SOI with load. Proper operation of these systems is essential for both safe engine operation and performance since they are also used to control peak firing pressure. However, it is rather difficult to evaluate the operation of VIT system and determine the required rack settings for a specific SOI angle without using experimental techniques, which are extremely expensive and time consuming. For this reason in the present work it is examined the use of on-board monitoring and diagnosis techniques to overcome this difficulty. The application is conducted on a commercial vessel equipped with a two-stroke engine from which cylinder pressure measurements were acquired. From the processing of measurements acquired at various operating conditions it is determined the relation between VIT rack position and start of injection angle. This is used to evaluate the VIT system condition and determine the required settings to achieve the desired SOI angle. After VIT system tuning, new measurements were acquired from the processing of which results were derived for various operating parameters, i.e. brake power, specific fuel consumption, heat release rate, start of combustion etc. From the comparative evaluation of results before and after VIT adjustment it is revealed an improvement of specific fuel consumption while firing pressure remains within limits. It is thus revealed that the proposed method has the potential to overcome the disadvantages of purely experimental trial and error methods and that its use can result to fuel saving with minimum effort and time. To evaluate the corresponding effect on NOx emissions, as required by Marpol Annex-VI regulation a theoretical investigation is conducted using a multi-zone combustion model. Shop-test and NOx-file data are used to evaluate its ability to predict engine performance and NOx emissions before conducting the investigation. Moreover, the results derived from the on-board cylinder pressure measurements, after VIT system tuning, are used to evaluate the model’s ability to predict the effect of SOI variation on engine performance. Then the simulation model is applied to estimate the impact of SOI advance on NOx emissions. As revealed NOx emissions remain within limits despite the SOI variation (increase).


2021 ◽  
Vol 8 (1) ◽  
pp. H16-H20
Author(s):  
A.V.N.S. Kiran ◽  
B. Ramanjaneyulu ◽  
M. Lokanath M. ◽  
S. Nagendra ◽  
G.E. Balachander

An increase in fuel utilization to internal combustion engines, variation in gasoline price, reduction of the fossil fuels and natural resources, needs less carbon content in fuel to find an alternative fuel. This paper presents a comparative study of various gasoline blends in a single-cylinder two-stroke SI engine. The present experimental investigation with gasoline blends of butanol and propanol and magnesium partially stabilized zirconium (Mg-PSZ) as thermal barrier coating on piston crown of 100 µm. The samples of gasoline blends were blended with petrol in 1:4 ratios: 20 % of butanol and 80 % of gasoline; 20 % of propanol and 80 % of gasoline. In this work, the following engine characteristics of brake thermal efficiency (BTH), specific fuel consumption (SFC), HC, and CO emissions were measured for both coated and non-coated pistons. Experiments have shown that the thermal efficiency is increased by 2.2 % at P20. The specific fuel consumption is minimized by 2.2 % at P20. Exhaust emissions are minimized by 2.0 % of HC and 2.4 % of CO at B20. The results strongly indicate that the combination of thermal barrier coatings and gasoline blends can improve engine performance and reduce exhaust emissions.


2011 ◽  
Vol 236-238 ◽  
pp. 151-154 ◽  
Author(s):  
Jia Quan Wang ◽  
Ping Sun ◽  
Zhen Chen ◽  
De Qing Mei

The micro-emulsion fuels were prepared with complex surfactant, and the effects of temperature on the stability of these fuels were investigated. The engine performance and the emissions were studied when the engine was fueled with diesel and micro-emulsion diesel respectively. Results showed that when the engine was fueled with micro-emulsion diesel, the NOXand smoke emissions were decreased obviously and HC and CO emissions were increased slightly. Discounting of surfactant and water, the specific fuel consumption of micro-emulsion diesel was lower than those of diesel under any load at the speed of 2900r/min.


2017 ◽  
Vol 21 (1 Part B) ◽  
pp. 555-566 ◽  
Author(s):  
Feyyaz Candan ◽  
Murat Ciniviz ◽  
Ilker Ors

In this study, methanol in ratios of 5-10-15% were incorporated into diesel fuel with the aim of reducing harmful exhaust gasses of Diesel engine, di-tertbutyl peroxide as cetane improver in a ratio of 1% was added into mixture fuels in order to reduce negative effects of methanol on engine performance parameters, and isobutanol of a ratio of 1% was used as additive for preventing phase separation of all mixtures. As results of experiments conducted on a single cylinder and direct injection Diesel engine, methanol caused the increase of NOx emission while reducing CO, HC, CO2, and smoke opacity emissions. It also reduced torque and power values, and increased brake specific fuel consumption values. Cetane improver increased torque and power values slightly compared to methanol-mixed fuels, and reduced brake specific fuel consumption values. It also affected exhaust emission values positively, excluding smoke opacity. Increase of injector injection pressure affected performances of methanol-mixed fuels positively. It also increased injection pressure and NOx emissions, while reducing other exhaust emissions.


2011 ◽  
Vol 142 ◽  
pp. 103-106
Author(s):  
Wen Ming Cheng ◽  
Hui Xie ◽  
Gang Li

This paper discusses the brake specific fuel consumption and brake thermal efficiency of a diesel engine using cottonseed biodiesel blended with diesel fuel. A series of experiments were conducted for the various blends under varying load conditions at a speed of 1500 rpm and 2500 rpm and the results were compared with the neat diesel. From the results, it is found that the brake specific fuel consumption of cottonseed biodiesel is slightly higher than that of diesel fuel at different engine loads and speeds, with this increase being higher the higher the percentage of the biodiesel in the blend. And the brake thermal efficiency of cottonseed biodiesel is nearly similar to that of diesel fuel at different engine loads and speeds. From the investigation, it is concluded that cottonseed biodiesl can be directly used in diesel engines without any modifications, at least in small blending ratios.


2021 ◽  
Author(s):  
Naveen Rana ◽  
Harikrishna Nagwan ◽  
Kannan Manickam

Abstract Indeed, the development of alternative fuels for use in internal combustion engines has become an essential requirement to meet the energy demand and to deal with the different problems related to fuel. The research in this domain leads to the identification of adverse fuel properties and for their solution standard limits are being defined. This paper outlines an investigation of performance and combustion characteristics of a 4-stroke diesel engine using different cymbopogon (lemongrass) - diesel fuel blends. 10% to 40% cymbopogon is mixed with diesel fuel and tested for performance characteristics like brake specific fuel consumption and brake thermal efficiency. To obtain emission characteristics smoke density in the terms of HSU has been measured. In result, it has observed that there is an increase of 5% in brake thermal efficiency and 16.33% decrease in brake specific fuel consumption. Regarding emission characteristics, a 12.9% decrease in smoke emission has been found.


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