It was found that SME B20 was a better choice among other biodiesel blends that showed good emission reduction with little performance differences compared to those of the reference diesel fuel.
📌 3 Key Takeaways
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Objective & Hypothesis:In this study the performance and emissions characteristics of 8-cylinder, 4-stroke, turbocharged Ford 6.7L diesel engine operating on conventional diesel fuel, different blends of soybean methyl ester (SME) and pure rapeseed methyl ester (RME) have been modelled.
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Key Findings & Data:It was found that SME B20 was a better choice among other biodiesel blends that showed good emission reduction with little performance differences compared to those of the reference diesel fuel.
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Conclusion & Impact:The optimization analysis allowed achieving 81.8% reduction in NOx emissions and 75.4% reduction in the combined NOx and PM emissions.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters
Abstract
In this study the performance and emissions characteristics of 8-cylinder, 4-stroke, turbocharged Ford 6.7L diesel engine operating on conventional diesel fuel, different blends of soybean methyl ester (SME) and pure rapeseed methyl ester (RME) have been modelled. A multiparametric optimization was applied using Rosenbrock’s method. It was found that SME B20 was a better choice among other biodiesel blends that showed good emission reduction with little performance differences compared to those of the reference diesel fuel. The optimization analysis allowed achieving 81.8% reduction in NOx emissions and 75.4% reduction in the combined NOx and PM emissions.
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Cite This Article
AZİMOV, U., NGU, D. H. (2022). Multiparametric engine optimization with application of biodiesel blends for better performance and lower exhaust gas emissions. International Journal of Automotive Engineering and Technologies, Cilt: 7 - Sayı: 2, 88–98. https://ajindex.com/articles/540328
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