scholarly journals Uji Eksperimental Konsumsi Bahan Bakar Mesin Berbahan Bakar Biodiesel Minyak Kelapa Hasil Metode Kering

2011 ◽  
Vol 1 (2) ◽  
Author(s):  
Yesung Allo Padang

Experimental testing using coconut oil produced by dry method on engine has been conducted in the Laboratory of Energy Conversion, Mechanical Engineering, Mataram University. The purpose was to evaluate the effect of using this coconut oil on the engine performance. The oil was mixed with diesel oil in order to obtain biodiesel. There were four combinations of ratio diesel oil to coconut oil; namely 100% : 0% (mkp0%), 90%:10% (mkp10%), 80%:20% (mkp20%) and 70%:30% (mkp30%.). Mitsubishi L300 diesel engine was used in this experiment by variating engine speed 1000 rpm, 1050 rpm and 1100 rpm with torgue load at 1 kg. At engine speed of 1200 rpm the loads were varied as 1 kg, 1.5 kg and 2 kg. The result shows that by increasing the number of coconut oil in the mixture will reduce engine fuel consumption. Fuel consumption of the mixture will be better compare to the fuel consumption of pure diesel oil. Specific fuel consumption efective (SFCe) of coconut oil-diesel mixture at mkp 10%, 20% and 30% are lower than of pure diesel oil. The reduced SFCe are 1.45 %, 1.71% and 3.57 % at effective power 0.838 PS, 1.98%, 4.31% and 4.31% at effective power 1.257 PS and 1.22%, 3.92% and 7.12% at effective power 1.676 PS. By varying the engine speed, the result also shows that SFCe of the mixture is also lower than SFCe of pure diesel oil.

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


2015 ◽  
Vol 1115 ◽  
pp. 480-483
Author(s):  
Khairil ◽  
Sulaiman Thalib ◽  
Dan Turmizi

Kepayang is a plant commonly found in tropical regions especially in Aceh, which has not been optimally used by local people. Based on traditional processes, kepayang seeds are potentially capable of producing oil. The objective of this research is to examined the effects of specific fuel consumption, power generation, and the thermal efficiency on engine performance by using kepayang seeds oil. The problem will be evaluated the effect of variations of biodiesel fuel (B-0, B-10 and B-20) and variation engine rotation on the diesel engine performance. In order to perform this research, the Yanmar TS-50 engine which had rotation of 2400 rpm and maximum power of 2 kW was selected. By examining the result of the research it was concluded that there were not significant effects of varied fuel consumption on the low speed (1000 rpm to 1800 rpm) engine rotation. However for engine speed more than 1800 rpm there were somewhat effects of them on engine performance. It is evident that at the engine rotation of 2000 rpm, the fuel consumption of biodiesel (B-20) and the power generated were lower than compare to biodiesel (B-10 and B-0). On the other hand, the thermal efficiency for biodiesel (B-20) was higher than compared to other biodiesel (B-10 and B-0).


2014 ◽  
Vol 158 (3) ◽  
pp. 73-79
Author(s):  
Grzegorz KOSZAŁKA ◽  
Michał GĘCA ◽  
Andrzej SUCHECKI

Combustion chamber leakage, caused mainly by blowby, results in a reduced engine performance and higher fuel consumption. The blowby rate is, to some extent, determined by the design of the piston-ring-cylinder assembly (PRC) and the blowby rate varies throughout the life of an engine due to wear of the said assembly. The paper presents a quantitative evaluation of the influence of the combustion chamber blowby on the engine performance and fuel consumption on the example of two diesel engines: older generation naturally aspirated indirect injection diesel engine and a modern turbocharged direct injection engine. The assessment was made based on a simulation research using the AVL Boost software and the input data for the calculations were ascertained based on measurements performed on actual objects. The results have shown that a reduction of the blowby by half compared to the values occurring in engines of good technical condition would increase the maximum torque and power by approx. 0.5% for both investigated engines. The results of the simulation have also shown that increases in the blowby occurring in engines after long service lead to increased fuel consumption from 1% to 7% and the lower the engine speed and load the greater theses values.


Author(s):  
Agung Sudrajad ◽  
Fujita Hirotsugu ◽  
Ismail Ali ◽  
Mohd Hazmie Hamdan

Optimization of using waste plastic fuel on diesel engine was observed. The investigation experimental project was comparison between using waste plastic fuel and diesel fuel. The engine experiment was conducted with YANMAR TF120 single cylinder four stroke diesel engine set-up at variable engine speed at 2100, 1900, 1700, 1500 and 1300 rpm. The data have been taken at each point of engine speed during the stabilized engine-operating regime. Measurement of emissions parameters at different engine speed conditions have generally indicated reduce in engine CO2, NOx and SOx emission when using plastic fuel compared to base diesel oil with good in fuel consumption.


2019 ◽  
Vol 3 (1) ◽  
pp. 37
Author(s):  
Abdul Muhyi ◽  
Rico Aditia Prahmana ◽  
Devia G. C. Alfian ◽  
Dicky J. Silitonga ◽  
Didik Supriyadi

The consumption of diesel fuel in Indonesia is increasing every year, one way to overcome this problem is to use natural bioaditive in the form of essential oils found in Indonesia. Essential oils used in this study are fragrant lemongrass because fragrant lemongrass contains carboxylic compounds (-COOH) [1,2,3]. With the aim of improving engine performance and reducing fuel consumption. This research was conducted by mixing fragrant citronella oil with diesel oil with a percentage of 1%, 0.5% and 0.1% of the total volume. Diesel engines are operated with variations in loading 200, 400, 600, 800, 1000, 1200, 1400, 1600, 1800 and 2000 W at a constant engine speed of 1500 rpm. The variables measured and calculated in this experiment are power, torque, Break Mean Effective Pressure (BMEP), Specific Fuel Consumption (SFC). The results showed that adding citronella oil to diesel fuel with a percentage of 1%, 0.5% and 0.1% significantly reduced fuel consumption by 15.5%, 3.6% and 2.6% respectively. The maximum reduction in fuel consumption reaches 0.055 liters / hour at 200W loading with a bioaditive level of 0.1%. The next study planned is to mix clove oil and citronella oil as bioaditive so that it is expected to reduce fuel consumption and engine corrosion. Keywords: Diesel engine, bioaditive, fragrant citronella oil, performance of diesel engines, fuel consumption


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.


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.


2013 ◽  
Vol 465-466 ◽  
pp. 221-225 ◽  
Author(s):  
Mohd Hafizil Mat Yasin ◽  
Rizalman Mamat ◽  
Abdul Mutalib Leman ◽  
Amir Khalid ◽  
Noreffendy Tamaldin

Biodiesel is an alternative, decomposable and biological-processed fuel that has similar characteristics with mineral diesel which can be used directly into diesel engines. However, biodiesel has its drawbacks which are more density and viscosity compared to mineral diesel. Alcohol additives implementation such as ethanol could reduce significantly the density and viscosity of the biodiesel. In this study, biodiesel (20%)-ethanol (5%)-diesel (75%), biodiesel (20%)-methanol (10%)-diesel (70%), biodiesel (20%)-ethanol (15%)-diesel (65%), biodiesel (20%)-ethanol (20%)-diesel (60%) and standard mineral diesel as a baseline fuel are tested in a Mitsubishi 4D68 diesel engine. Those test fuels are investigated under the same operating conditions at three different engine loads; 20%, 40% and 60% at a constant engine speed of 2500 rpm to determine the engine performance, combustion and emission of the diesel engine. Overall, biodiesel-ethanol-diesel blends show higher brake specific fuel consumption than mineral diesel especially at higher ethanol concentration. As ethanol proportions in blends increase, CO emissions increase, while NO emissions are reduced. Also, biodiesel-ethanol blend with 5% ethanol is more effective than other biodiesel-ethanol blends for reducing CO emissions and improve the combustion.


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).


2017 ◽  
Vol 10 (2) ◽  
pp. 93 ◽  
Author(s):  
Anh Tuan Hoang

Pure vegetable oils have the greatest promise for alternative fuels for internal combustion engines beside the depletion of conventional petroleum resources. Among various possible options, pure vegetable oils present promising of greener air substitutes for fossil fuels. Pure vegetable oils, due to the agricultural origin, liquidity, ready availability, renewability, biodegradability are able to reduce the CO2 emissions in the atmosphere. Also, in Vietnam, pure vegetable oils such as soybean oil (SoO100), coconut oil (CO100) and sunflower oil (SuO100) are available. The paper presents the results of using heated pure vegetable oils for diesel engine D243 with power of 80 hp (58.88) kW. The results of determining the power (Ne), specific fuel consumption (SFC) and efficiency (n) are used to evaluate the performance of engine. The results show that, the engine power (Ne) is 10%-15% lower, the SFC of engine D243 using pure vegetable oils is 3%-5% higher and the η is 2.5%-6.2% lower compared to diesel oil (DO). Among the pure vegetable oils, the best performance results for D243 diesel engine are obtained from heated pure sunflower oil up to 135oC.


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