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African Oil Bean Seed Oil Biodiesel Optimization Production via the Technique of Response Surface Methodology-Genetic Algorithm (RSM-GA) and RSM

Year: 2025

Type: article

Abstract: This article focuses on optimized production of biodiesel from African Oil Bean Seed Oil, an indigenous African tropical tree of the leguminosea family, using response surface methodology (RSM) and response surface methodology-genetic algorithm (RSM-GA). Transeterification method was adopted using sodium hydroxide (NaOH) catalyst and methanol (alcohol). The extracted oil was pre-treated due to its high free fatty acid FFA contentFrom the research findings, the physiochemical properties of AOBSO are within ASTM ranges. The process parameters investigated were agitation speed, methanol/oil molar ratio, reaction time, reaction temperature, and catalyst concentration. RSM and RSM-GA gave nearly identical optimal results, with RSM-GA producing the better yield. Agitation speed of 225 rpm, methanol/oil molar ratio of 6.2:1, reaction time of 60 minutes, reaction temperature of 60oC and catalyst concentration of 0.775%wt were therefore the optimal parameters for RSM-GA. The yield of methyl esters (FAAE) under these optimal process parameters was 99.75%.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.15853704

Authors: Oghoghoreva Edison Ogwor, Okechukwu D. Onukwuli, Callistus N. Ude, Emifoniye Elvis, Utu G. Ochuko

Institutions: Delta State Polytechnic Ogwashi-Uku, Nnamdi Azikiwe University, Michael Okpara University of Agriculture

Language: English

Topic: Biodiesel Production and Applications

Subfield: Biomedical Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Zero hunger

Open Access status: green

OpenAlex ID: W6930696798

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