Optimization of FAME production from blends of waste cooking oil and refined palm oil using biomass fly ash as a catalyst
authors Vargas, EM; Ospina, L; Neves, MC; Tarelho, LAC; Nunes, MI
nationality International
journal RENEWABLE ENERGY
author keywords Biomass fly ash; FAME; Optimization; Refined palm oil; Response surface methodology; Waste cooking oil
keywords BIODIESEL PRODUCTION; HETEROGENEOUS CATALYST; BIFUNCTIONAL CATALYST; WOOD ASH; TRANSESTERIFICATION; SHELL; ACID; FEEDSTOCK; OXIDE
abstract One of the problems associated with biomass combustion is the amount of fly ashes generated and its subsequent management. The search for ways of valorizing these ashes has been a challenge for the academic and industrial community. On the other hand, used cooking oils are wastes which management is quite difficult, by they have a very important energetic potential. The goal of this work was to optimize the Fatty Acid Methyl Esters (FAME) process, recovering two residual materials (waste cooking oils (WCO), and biomass fly flash (BFA)). The optimization of the process was achieved using the response surface methodology and a Box-Benhken experimental design applied to mixtures of WCO and refined palm oil (RPO), using BFA as catalyst. The influence on FAME yield of four variables (catalyst loading, methanol/oil molar ratio, RPO/WCO ratio and reaction temperature) was studied. The higher FAME yield achieved was 73.8% for the following operating conditions: 13.57 wt% of catalyst loading, 6.7 of meth-anol/oil molar ratio, 28.04 wt% of RPO in the oil mixture with WCO and 55 degrees C for the reaction temperature. The reusability of the BFA catalyst in the process was also studied through three successive usage cycles finding no loss of catalytic activity. (C) 2020 Elsevier Ltd. All rights reserved.
publisher PERGAMON-ELSEVIER SCIENCE LTD
issn 0960-1481
isbn 1879-0682
year published 2021
volume 163
beginning page 1637
ending page 1647
digital object identifier (doi) 10.1016/j.renene.2020.10.030
web of science category 11
subject category Green & Sustainable Science & Technology; Energy & Fuels
unique article identifier WOS:000591512800003
  ciceco authors
  impact metrics
journal analysis (jcr 2019):
journal impact factor 6.274
5 year journal impact factor 5.964
category normalized journal impact factor percentile 81.375
dimensions (citation analysis):
altmetrics (social interaction):



 


Sponsors

1suponsers_list_ciceco.jpg