INCREASING THE OXIDATION STABILITY VALUE OF BIODIESEL THROUGH CATALYTIC HYDROGEN TRANSFER BETWEEN FAME AND GLYCEROL SIMULTANEOUSLY PRODUCING DHA

• Main Author: Naufaal Daffa Realdi, M.
• Format: Final Project
• Language: Indonesia
• Subjects: Teknik (Rekayasa, enjinering dan kegiatan berkaitan)
• Online Access: https://digilib.itb.ac.id/gdl/view/82241
• Institution: Institut Teknologi Bandung

Indonesian government is promoting the development of renewable fuels, including biodiesel, to address global warming and the depletion of fossil fuels. Although biodiesel production in Indonesia is increasing, the main challenge is the decrease in fuel oxidation stability as the biodiesel ratio in fossil-based diesel increases. Referring to the 2019 WWFC, diesel fuel has a minimum oxidation stability figure of 35 hours based on the Rancimat test method.This research aims to enhance the oxidation stability of biodiesel through partial hydrogenation using glycerol as an alternative hydrogen source. Glycerol, a by-product of biodiesel plants, can transfer hydrogen with the aid of the enzyme glycerol dehydrogenase in nature. Therefore, the search for biomimetic catalysts is necessary to achieve the desired reaction. The partial hydrogenation reaction of biodiesel with glycerol has a standard Gibbs free energy (?G°r,298) of -46.66 kJ/mol, indicating that the reaction can proceed well at room temperature with the appropriate catalyst. The metal catalysts used in this study are [Zn2Cr(OH)6]O3CH, [Zn2Cr(OH)6]OOCH3, Zn2Cr(OH)ONi, and AgNi-23, with the application of tricalcium octaglyceroxide and solvents such as butanol and dimethylformamide as independent variables. The results showed that all catalysts except Zn2Cr(OH)ONi were effective in the partial hydrogenation reaction. Additionally, the AgNi-23 catalyst performed the best, yielding biodiesel with an oxidation stability of 55 hours based on the Rancimat test method and a dihydroxyacetone (DHA) yield of 0.425 g/L. Further research is recommended to explore optimal conditions for production optimization.