4.7 Article

Performance analysis on a compression ignition engine fueled with algae, rice bran methyl esters, and their diesel blends at optimized blend proportion, injection timing and load

Journal

FUEL
Volume 344, Issue -, Pages -

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.fuel.2023.128024

Keywords

Algae; Rice bran oil; Trans-esterification; Performance; Emission; Optimization

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This research examines the effects of varying factors such as load and injection timing on the performance, combustion, and emissions of algal biodiesel. By optimizing the blend, load, and injection timing, it is found that biodiesel exhibits improved thermal efficiency and peak pressure, while reducing carbon emissions.
The production of biodiesel from algal oil is the subject of a lot of research. There hasn't been a thorough ex-amination of the performance, combustion, and emission analyses of algal biodiesel when engine factors like load, injection timing, etc. are varied and optimization studies are used. This research attempts to address the void in the literature on thorough engine studies for algal oil biodiesel. Herein, pure diesel with three different algae and rice bran oil blends (B5-5% biodiesel with 95% pure diesel, B10-10% biodiesel with 90% pure diesel and B20-20% biodiesel with 80% diesel) are synthesized. The properties of the biodiesel samples were examined and verified with standard ASTM limits (kinematic viscosity at 40 degrees C for macro algae is 3.51 cSt and microalgae is 4.84 cSt). The blend, load and injection timing were optimized through the performance, combustion, and emission characteristics of a compression ignition engine. The brake thermal efficiency (BTE) increasing trend is observed for both diesel & biodiesel up to 75% load, and advanced injection timing (26 degrees BTDC) improved the BTE for all biodiesel blends. Besides, an increase of 5% peak pressure is observed in all blends 1 degrees-9 degrees crank angle ATDC. Biodiesel blends have minimal carbon emissions, except NOX emissions. Further, the experimental values are optimized through Taguchi/Grey Grade Relational procedure and the best combination for MAME blends is MAME 20, 100% load, 20 degrees BTDC for AME blends is AME 20, 100% load, 23 degrees BTDC and for RME blends is AME 20, 100% load, 20 degrees BTDC.

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