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Galvan, D., Cremasco, H., Mantovani, A.C.G., Bona, E., Killner, M. and Borsato, D. (2020) Kinetic Study of the Transesterification Reaction by Artificial Neural Networks and Parametric Particle Swarm Optimization. Fuel, 267, Article ID: 117221.
https://doi.org/10.1016/j.fuel.2020.117221

has been cited by the following article:

• TITLE: The Effect of Reaction Temperature, Catalyst Concentration and Alcohol Ratio in the Production of Biodiesel from Raw and Purified Castor Oil

  AUTHORS: Sandile Brendon Masango, Peterson Thokozani Ngema, Olusegun Ayodeji Olagunju, Suresh Ramsuroop

  KEYWORDS: Biodiesel Fuel, Raw Castor Oil, Refined Castor Oil, Transesterification Process

  JOURNAL NAME: Advances in Chemical Engineering and Science, Vol.14 No.3, June 5, 2024

  ABSTRACT: In this study, a homogeneous alkaline catalyst was used in the production of biodiesel from raw and refined castor oil feedstock. The effect of potassium hydroxide (KOH) as a catalyst between the two feedstocks, raw and refined castor oil was compared. The transesterification technique was utilized in this study, aiming to investigate the effect of different parameters, which include the reaction temperature, methanol-to-oil mole ratio, and catalyst concentration at a constant period of 90 minutes. The result revealed the performance of the KOH catalyst on raw castor oil yielded 98.49% FAME, which was higher than the refined castor oil which yielded 97.9% FAME. The optimal conditions obtained from refined castor oil were applied to raw castor oil because of the same properties. The fuel quality of castor oil and produced biodiesel were tested for physicochemical properties.