Utilization of Sunflower Methyl Ester as a Diesel Engine Fuel

Dülger, Zafer; Kaplan, Cafer

doi:10.4271/2001-01-3633

SAE Technical Paper Series 2001

DOI: 10.4271/2001-01-3633

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Utilization of Sunflower Methyl Ester as a Diesel Engine Fuel

Zafer Dülger

Cafer Kaplan

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Cited by 4 publications

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“…Comparison of the current work to previous studies published in the literature[39,86,[98][99][100][101][102][103].…”

mentioning

confidence: 72%

Modeling and Optimization of a Compression Ignition Engine Fueled with Biodiesel Blends for Performance Improvement

et al. 2022

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Biodiesel is considered to be a promising alternative option to diesel fuel. The main contribution of the current work is to improve compression ignition engine performance, fueled by several biodiesel blends. Three metrics were used to evaluate the output performance of the compression ignition engine, as follows: brake torque (BT), brake specific fuel consumption (BSFC), and brake thermal efficiency (BTE), by varying two input parameters (engine speed and fuel type). The engine speeds were in the 1200–2400 rpm range. Three biodiesel blends, containing 20 vol.% of vegetable oil and 80 vol.% of pure diesel fuel, were prepared and tested. In all the experiments, pure diesel fuel was employed as a reference for all biodiesel blends. The experimental results revealed the following findings: although all types of biodiesel blends have low calorific value and slightly high viscosity, as compared to pure diesel fuel, there was an improvement in both BT and brake power (BP) outputs. An increase in BSFC by 7.4%, 4.9%, and 2.5% was obtained for palm, sunflower, and corn biodiesel blends, respectively, as compared to that of pure diesel. The BTE of the palm oil biodiesel blend was the lowest among other biodiesel blends. The suggested work strategy includes two stages (modeling and parameter optimization). In the first stage, a robust fuzzy model is created, depending on the experimental results, to simulate the output performance of the compression ignition engine. The particle swarm optimization (PSO) algorithm is used in the second stage to determine the optimal operating parameters. To confirm the distinction of the proposed strategy, the obtained outcomes were compared to those attained by response surface methodology (RSM). The coefficient of determination (R2) and the root-mean-square-error (RMSE) were used as comparison metrics. The average R2 was increased by 27.7% and 29.3% for training and testing, respectively, based on the fuzzy model. Using the proposed strategy in this work (integration between fuzzy logic and PSO) may increase the overall performance of the compression ignition engine by 2.065% and 8.256%, as concluded from the experimental tests and RSM.

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“…Comparison of the current work to previous studies published in the literature[39,86,[98][99][100][101][102][103].…”

mentioning

confidence: 72%

Modeling and Optimization of a Compression Ignition Engine Fueled with Biodiesel Blends for Performance Improvement

et al. 2022

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Fuel properties, engine performance and emission characteristic of common biodiesels as a renewable and sustainable source of fuel

Arbab

Masjuki

Varman

et al. 2013

Renewable and Sustainable Energy Reviews

154

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Production, characterization and performance of biodiesel as an alternative fuel in diesel engines – A review

Hassan

Hagos

Mamat

et al. 2017

Renewable and Sustainable Energy Reviews

561

257

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Utilization of Sunflower Methyl Ester as a Diesel Engine Fuel

Cited by 4 publications

References 2 publications

Modeling and Optimization of a Compression Ignition Engine Fueled with Biodiesel Blends for Performance Improvement

Modeling and Optimization of a Compression Ignition Engine Fueled with Biodiesel Blends for Performance Improvement

Fuel properties, engine performance and emission characteristic of common biodiesels as a renewable and sustainable source of fuel

Production, characterization and performance of biodiesel as an alternative fuel in diesel engines – A review

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