Home > Research > Publications & Outputs > Comprehensive Optimisation of Biodiesel Product...

Electronic data

  • Manuscript Final Submitted to LU

    Accepted author manuscript, 1.68 MB, Word document

    Available under license: CC BY: Creative Commons Attribution 4.0 International License

Links

Text available via DOI:

View graph of relations

Comprehensive Optimisation of Biodiesel Production Conditions via Supercritical Methanolysis of Waste Cooking Oil

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Published

Standard

Comprehensive Optimisation of Biodiesel Production Conditions via Supercritical Methanolysis of Waste Cooking Oil. / Aboelazayem, Omar; Gadalla, Mamdouh; Saha, Basu.
In: Energies, Vol. 15, No. 10, e3766, 20.05.2022.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

APA

Vancouver

Aboelazayem O, Gadalla M, Saha B. Comprehensive Optimisation of Biodiesel Production Conditions via Supercritical Methanolysis of Waste Cooking Oil. Energies. 2022 May 20;15(10):e3766. doi: 10.3390/en15103766

Author

Bibtex

@article{5e41e8ee3ba34e69bc46836d19caa573,
title = "Comprehensive Optimisation of Biodiesel Production Conditions via Supercritical Methanolysis of Waste Cooking Oil",
abstract = "Biodiesel has been established as a promising alternative fuel to petroleum diesel. This study offers a promising energy conversion platform to valorise high acidity waste cooking oil (WCO) into biodiesel in a single-step reaction via supercritical methanol. Carbon dioxide (CO2) has been used as a co-solvent in the reaction with a catalytic effect to enhance the production of biodiesel. This work provides an in-depth assessment of the yield of four fatty acids methyl esters (FAME) from their correspondent triglycerides and fatty acids. The effects of four independent process variables, i.e., methanol to oil (M:O) molar ratio, temperature, pressure, and time, have been in-vestigated using Response Surface Methodology (RSM). Four quadratic models have been de-veloped between process variables and the yield of FAMEs. The statistical validation of the pre-dicted models has been performed using analysis of variance (ANOVA). Numerical optimisation has been employed to predict the optimal conditions for biodiesel production. The predicted op-timal conditions are at 25:1 M:O molar ratio, 254.7 °C, 110 bar within 17 min resulting in 99.2%, 99.3%, 99.13%, and 99.05% of methyl-oleate, methyl-palmitate, methyl-linoleate, and me-thyl-stearate yields, respectively. The predicted optimum conditions have been validated ex-perimentally.",
keywords = "Biodiesel, waste cooking oil, supercritical methanolysis, optimisation, Response surface methodology",
author = "Omar Aboelazayem and Mamdouh Gadalla and Basu Saha",
year = "2022",
month = may,
day = "20",
doi = "10.3390/en15103766",
language = "English",
volume = "15",
journal = "Energies",
issn = "1996-1073",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "10",

}

RIS

TY - JOUR

T1 - Comprehensive Optimisation of Biodiesel Production Conditions via Supercritical Methanolysis of Waste Cooking Oil

AU - Aboelazayem, Omar

AU - Gadalla, Mamdouh

AU - Saha, Basu

PY - 2022/5/20

Y1 - 2022/5/20

N2 - Biodiesel has been established as a promising alternative fuel to petroleum diesel. This study offers a promising energy conversion platform to valorise high acidity waste cooking oil (WCO) into biodiesel in a single-step reaction via supercritical methanol. Carbon dioxide (CO2) has been used as a co-solvent in the reaction with a catalytic effect to enhance the production of biodiesel. This work provides an in-depth assessment of the yield of four fatty acids methyl esters (FAME) from their correspondent triglycerides and fatty acids. The effects of four independent process variables, i.e., methanol to oil (M:O) molar ratio, temperature, pressure, and time, have been in-vestigated using Response Surface Methodology (RSM). Four quadratic models have been de-veloped between process variables and the yield of FAMEs. The statistical validation of the pre-dicted models has been performed using analysis of variance (ANOVA). Numerical optimisation has been employed to predict the optimal conditions for biodiesel production. The predicted op-timal conditions are at 25:1 M:O molar ratio, 254.7 °C, 110 bar within 17 min resulting in 99.2%, 99.3%, 99.13%, and 99.05% of methyl-oleate, methyl-palmitate, methyl-linoleate, and me-thyl-stearate yields, respectively. The predicted optimum conditions have been validated ex-perimentally.

AB - Biodiesel has been established as a promising alternative fuel to petroleum diesel. This study offers a promising energy conversion platform to valorise high acidity waste cooking oil (WCO) into biodiesel in a single-step reaction via supercritical methanol. Carbon dioxide (CO2) has been used as a co-solvent in the reaction with a catalytic effect to enhance the production of biodiesel. This work provides an in-depth assessment of the yield of four fatty acids methyl esters (FAME) from their correspondent triglycerides and fatty acids. The effects of four independent process variables, i.e., methanol to oil (M:O) molar ratio, temperature, pressure, and time, have been in-vestigated using Response Surface Methodology (RSM). Four quadratic models have been de-veloped between process variables and the yield of FAMEs. The statistical validation of the pre-dicted models has been performed using analysis of variance (ANOVA). Numerical optimisation has been employed to predict the optimal conditions for biodiesel production. The predicted op-timal conditions are at 25:1 M:O molar ratio, 254.7 °C, 110 bar within 17 min resulting in 99.2%, 99.3%, 99.13%, and 99.05% of methyl-oleate, methyl-palmitate, methyl-linoleate, and me-thyl-stearate yields, respectively. The predicted optimum conditions have been validated ex-perimentally.

KW - Biodiesel

KW - waste cooking oil

KW - supercritical methanolysis

KW - optimisation

KW - Response surface methodology

U2 - 10.3390/en15103766

DO - 10.3390/en15103766

M3 - Journal article

VL - 15

JO - Energies

JF - Energies

SN - 1996-1073

IS - 10

M1 - e3766

ER -