Biodiesel Production Optimization from Waste Cooking Oil Using Animal Bone Catalyst

Joy Iruoghene Urete; Michael Owoicho Sule; Juliet Gordon; Olawale Samson Kolade; Roi Nze; Samuel Ayegu Tsebam; Oyedele Babatunde Oyeleye; David Udo Robinson; Ibrahim Ademola Fetuga

doi:10.18540/jcecvl9iss8pp16634-01e

Autores/as

Joy Iruoghene Urete Federal University of Petroleum Resources, Effurun, Nigeria https://orcid.org/0009-0005-0374-3832
Michael Owoicho Sule Federal University of Technology Minna, Nigeria https://orcid.org/0009-0004-9703-7754
Juliet Gordon Federal University of Technology Minna, Nigeria
Olawale Samson Kolade Federal University Oye-Ekiti, Nigeria https://orcid.org/0000-0002-9957-8798
Roi Nze Rivers State University, Nigeria https://orcid.org/0009-0007-5456-9584
Samuel Ayegu Tsebam Federal University of Technology Minna, Nigeria https://orcid.org/0009-0005-2031-7421
Oyedele Babatunde Oyeleye Adekunle Ajasin University, Akungba, Ondo, Nigeria
David Udo Robinson University of Lagos, Nigeria https://orcid.org/0000-0003-0701-9858
Ibrahim Ademola Fetuga Department of Mechanical Engineering, University of Lagos https://orcid.org/0000-0002-1943-4234

DOI:

https://doi.org/10.18540/jcecvl9iss8pp16634-01e

Palabras clave:

R.S.M, Biodiesel, W.C.O, ANOVA, C.C.D, Animal-bone, Optimization

Resumen

The goal of the current study is to use a heterogeneous catalyst made from biological-waste (animal bone) to optimize the process parameters needed to transform used cooking oil (WCO) into methyl- esters. The methyl esters and synthetic calcium oxide (CaO) from animal dumps were both analyzed. At temperatures between 900 and 950^oC, calcined catalyst was obtained. Utilizing central composite architecture, reaction effects from temperature (40–80^oC), time for the reaction (30–180min), as well as CL (1–0.15×10²w/w%) were examined in a 3-level, 3-factor array. To identify the most important parameter, ANOVA testing as well as R.S.M optimization are utilized for the studies. The linear terms of CL (p-value of 0.0146), reaction time (p-value 0.0339), as well as temperature of the reaction combination (p-value of 0.0344) had greatest impact on the biodiesel yield. The quadratic terms of CL (p-value = 0.0271) and temperature of the combining reaction (p-value = 0.0508) had the greatest impact on the oil yield. Therefore, it is practical to apply C.C.D design, R.S.M, as well as ANOVA to optimize the generation of biodiesel from used cooking oil.