scholarly journals Optimization of Base Catalyzed Ethanolysis of Vegetable Oils in Microreactors Using Design of Experiments

2020 ◽  
Vol 10 (5) ◽  
pp. 1624
Author(s):  
Ekaterina Borovinskaya ◽  
Eva Ritter ◽  
Wladimir Reschetilowski
Keyword(s):  
Design Of Experiments ◽  
Soybean Oil ◽  
Vegetable Oils ◽  
Flow Rate ◽  
Positive Impact ◽  
Batch Reactor ◽  
Waste Cooking Oil ◽  
Reaction Systems ◽  
Cooking Oil ◽  
Continuous Reaction

The base-catalyzed ethanolysis of soybean oil and waste cooking oil (WCO) was investigated in two types of continuous reactors (microreactor and T-mixer) and in a batch reactor. Flow rate, ethanol/oil ratio and concentration of catalyst were varied according to the design of experiments in continuous reaction systems. Regression analysis was carried out concerning the obtained product yields. Based on this analysis optimal conditions in different reactors types with soybean oil, fresh and WCO were determined. While the increased flow rate was unfavorable in the MX-mixer, it contributed to a great positive impact in the T-mixer system at flow rates higher than 2.2 mL/min. The soybean oil provides a slightly lower yield maximum (96.7%) than the fresh cooking oil (97.9%) and the waste cooking oil (97.5%). Therefore, the mix of vegetable oils in the cooking oil is more suitable for ethanolysis reaction than the soybean oil.

Improving Waste Cooking Oil Quality for Biodiesel Production with the Ethanolic By‐product of Soybean Oil Extraction

2019 ◽  
Vol 96 (12) ◽  
pp. 1379-1388
Author(s):  
Larissa Braga Bueno‐Borges ◽  
Grasiela Cristina Pereira dos Santos ◽  
Severino Matias Alencar ◽  
Marisa Aparecida Bismara Regitano‐d'Arce
Keyword(s):  
Soybean Oil ◽  
Oil Quality ◽  
Waste Cooking Oil ◽  
Oil Extraction ◽  
Biodiesel Production ◽  
Cooking Oil

scholarly journals The Characterization of Synthetic Zeolite for Hydrocracking of Waste Cooking Oil into Fuel

REAKTOR ◽  
2020 ◽  
Vol 20 (2) ◽  
pp. 89-95
Author(s):  
Siti Salamah ◽  
Agus Aktawan ◽  
Ilham Mufandi
Keyword(s):  
Batch Reactor ◽  
Liquid Product ◽  
Waste Cooking Oil ◽  
Synthetic Zeolite ◽  
Zeolite A ◽  
Hydrogen Flow ◽  
Cooking Oil ◽  
Hydrocracking Process ◽  
Hydrocracking Catalyst ◽  
Pore Properties

Zeolite A was used as hydrocracking catalyst to convert cooking oil into potential renewable fuels. The experiment was performed by characterize the diffraction, and pore properties the synthetic zeolite and it was confirmed the synthetic zeolite was zeolite A. The hydrocracking process of waste cooking oil was carried out in semi-fixed batch reactor system at 450° C for 2 hours, under the hydrogen flow of 20 ml/minute. The diffractogram and Si/Al ratio, 1.6, were matched to zeolite A properties, with the surface area, pore diameter, and pore volume were, 1.163 m2/g, 3.93 nm, and 0.001 cc/g, respectively. Liquid product from hydrocracking process of cooking oil consisted of 28.99% alkane and alkene 26.59% that are potential as renewable fuels.Keywords: waste cooking oil; zeolite A; hydrocracking

scholarly journals The Production of Green Diesel Rich Pentadecane (C15) from Catalytic Hydrodeoxygenation of Waste Cooking Oil using Ni/Al2O3-ZrO2 and Ni/SiO2-ZrO2

2021 ◽  
Vol 17 (1) ◽  
pp. 135-145
Author(s):  
Momodou Salieu Sowe ◽  
Arda Rista Lestari ◽  
Eka Novitasari ◽  
Masruri Masruri ◽  
Siti Mariyah Ulfa
Keyword(s):  
Batch Reactor ◽  
Waste Cooking Oil ◽  
Gas Chromatography Mass Spectrometry ◽  
X Ray Diffraction ◽  
Fuel Processing ◽  
Green Diesel ◽  
X Ray ◽  
Cooking Oil ◽  
Isotherm Adsorption ◽  
Adsorption Desorption

Hydrodeoxygenation (HDO) is applied in fuel processing technology to convert bio-oils to green diesel with metal-based catalysts. The major challenges to this process are feedstock, catalyst preparation, and the production of oxygen-free diesel fuel. In this study, we aimed to synthesize Ni catalysts supported on silica-zirconia and alumina-zirconia binary oxides and evaluated their catalytic activity for waste cooking oil (WCO) hydrodeoxygenation to green diesel. Ni/Al2O3-ZrO2 and Ni/SiO2-ZrO2 were synthesized by wet-impregnation and hydrodeoxygenation of WCO was done using a modified batch reactor. The catalysts were characterized using X-ray diffraction (XRD), X-ray fluorescence (XRF), and scanning electron microscopy - energy dispersive X-ray spectroscopy (SEM-EDS), and N2 isotherm adsorption-desorption analysis. Gas chromatography - mass spectrometry (GC-MS) analysis showed the formation of hydrocarbon framework n-C15 generated from the use of Ni/Al2O3-ZrO2 with the selectivity of 68.97% after a 2 h reaction. Prolonged reaction into 4 h, decreased the selectivity to 58.69%. Ni/SiO2-ZrO2 catalyst at 2 h showed selectivity of 55.39% to n-C15. Conversely, it was observed that the reaction for 4 h increased selectivity to 65.13%. Overall, Ni/Al2O3-ZrO2 and Ni/SiO2-ZrO2 catalysts produced oxygen-free green diesel range (n-C14-C18) enriched with n-C15 hydrocarbon. Reaction time influenced the selectivity to n-C15 hydrocarbon. Both catalysts showed promising hydrodeoxygenation activity via the hydrodecarboxylation pathway. Copyright © 2021 by Authors, Published by BCREC Group. This is an open access article under the CC BY-SA License (https://creativecommons.org/licenses/by-sa/4.0). 

scholarly journals Reusability test of Silica - Titania Catalyst on Biodiesel Production from Waste Cooking Oil in Various Temperatures

2019 ◽  
pp. 116-123
Author(s):  
Fiona Rachma Annisa ◽  
Indang Dewata ◽  
Hary Sanjaya ◽  
Latisma Dj ◽  
Ananda Putra ◽  
...  
Keyword(s):  
Flow Rate ◽  
Acid Value ◽  
Waste Cooking Oil ◽  
Biodiesel Production ◽  
Tetrahedral Coordination ◽  
Cooking Oil ◽  
Used Cooking Oil ◽  
Ftir Characterization ◽  
Density Flow

This work has investigated the reusability of silica-titania in various temperatures (50 – 70°C) of biodiesel production from waste cooking oil. The reused silica-titania catalyst collected from silica-titania catalyst waste produced from the process of separating the catalyst from biodiesel products from palm oil and used cooking oil at various temperatures. The 1st and 2nd reused SiO2-TiO2 were characterized by DR UV-Vis and the spectra were deconvoluted for calculate the fraction of titanium in tetrahedral coordination. In addition the biodiesel products were characterized using FTIR, and several properties of biodiesel such as density, flow rate and acid value were analyzed in order to get the information about catalytic activity reused SiO2-TiO2. The results show the titanium tetrahedral fraction in reused catalyst (1st) and (2nd) are found to be 24,98% and 24.65%, respectively. The FTIR characterization of biodiesel products and waste cooking oil are almost similar. The analysis of waste cooking oil converted to biodiesel shows an optimum temperature of 50oC that at this temperature the lowest density or highest flow rate gave highest conversion of 47.82% using BCR1 and 39.13% using BCR2.

Water footprint profile of crop-based vegetable oils and waste cooking oil: Comparing two water scarcity footprint methods

2018 ◽  
Vol 195 ◽  
pp. 1190-1202 ◽  
Author(s):  
Carla Caldeira ◽  
Paula Quinteiro ◽  
Erica Castanheira ◽  
Anne-Marie Boulay ◽  
Ana C. Dias ◽  
...  
Keyword(s):  
Vegetable Oils ◽  
Water Scarcity ◽  
Water Footprint ◽  
Waste Cooking Oil ◽  
Cooking Oil

Detection of Adulterated Vegetable Oils Containing Waste Cooking Oils Based on the Contents and Ratios of Cholesterol, β-Sitosterol, and Campesterol by Gas Chromatography/Mass Spectrometry

2015 ◽  
Vol 98 (6) ◽  
pp. 1645-1654 ◽  
Author(s):  
Haixiang Zhao ◽  
Yongli Wang ◽  
Xiuli Xu ◽  
Heling Ren ◽  
Li Li ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Gas Chromatography ◽  
Vegetable Oils ◽  
Waste Cooking Oil ◽  
Gas Chromatography Mass Spectrometry ◽  
Quick Method ◽  
Cooking Oil ◽  
Waste Cooking Oils ◽  
Cooking Oils

Abstract A simple and accurate authentication method for the detection of adulterated vegetable oils that contain waste cooking oil (WCO) was developed. This method is based on the determination of cholesterol, β-sitosterol, and campesterol in vegetable oils and WCO by GC/MS without any derivatization. A total of 148 samples involving 12 types of vegetable oil and WCO were analyzed. According to the results, the contents and ratios of cholesterol, β-sitosterol, and campesterol were found to be criteria for detecting vegetable oils adulterated with WCO. This method could accurately detect adulterated vegetable oils containing 5% refined WCO. The developed method has been successfully applied to multilaboratory analysis of 81 oil samples. Seventy-five samples were analyzed correctly, and only six adulterated samples could not be detected. This method could not yet be used for detection of vegetable oils adulterated with WCO that are used for frying non-animal foods. It provides a quick method for detecting adulterated edible vegetable oils containing WCO.

One-pot transesterification and esterification of waste cooking oil via ethanolysis using Sr:Zr mixed oxide as solid catalyst

RSC Advances ◽  
2014 ◽  
Vol 4 (82) ◽  
pp. 43671-43681 ◽  
Author(s):  
Navjot Kaur ◽  
Amjad Ali
Keyword(s):  
Fatty Acid ◽  
Free Fatty Acid ◽  
Vegetable Oils ◽  
Mixed Oxide ◽  
Waste Cooking Oil ◽  
Solid Catalyst ◽  
One Pot ◽  
Basic Sites ◽  
Cooking Oil

Prepared 2Sr:Zr-650 catalyst possesses both acidic and basic sites, hence it was able to catalyze the simultaneous esterification and transesterification of free fatty acid containing vegetable oils.

scholarly journals Bio-aviation fuel via catalytic hydrocracking of waste cooking oils

2020 ◽  
Vol 44 (1) ◽  
Author(s):  
R. El-Araby ◽  
E. Abdelkader ◽  
G. El Diwani ◽  
S. I. Hawash
Keyword(s):  
Catalytic Cracking ◽  
Freezing Point ◽  
Batch Reactor ◽  
Waste Cooking Oil ◽  
Jet Fuel ◽  
Raw Material ◽  
Aviation Fuel ◽  
Reaction Conditions ◽  
Oil Companies ◽  
Cooking Oil

Abstract Background Biomass fuels (bio-jet fuel) have recently attracted considerable attention as alternatives to conventional jet fuel. They have become the focus of aircraft manufacturers, engines, oil companies, governments and researchers alike. This study is concerned with the production of biojet fuel using waste cooking oil (WCO). Batch reactor is used for running the experimental study. The catalytic cracking products are investigated by GC mass spectra. Final products from different reaction conditions are subjected to fractional distillation. The (Bio kerosene) fraction was compared with the conventional jet A-1 and showed that it met the basic jet fuel specifications. Optimum reaction conditions are obtained at (450 °C), pressure of (120 bars), catalyst dose (2.5% w/v), reaction time (60 min) and hydrogen pressure 4 atmosphere. The aim of this study is to produce bio aviation fuel according to specifications and with a low freezing point from waste cooking oil in one step using a laboratory prepared catalyst and with a low percentage of hydrogen to complete the process of cracking and deoxygenation in one reactor, which is naturally reflected positively on the price of the final product of bio aviation fuel. Results The results indicated that the product obtained from WCO shows promising potential bio aviation fuels, having a low freezing point (− 55 °C) and that all bio kerosene’s specifications obtained at these conditions follow the international standard specifications of aviation turbine fuel. Conclusion Biojet fuel obtained from WCO has fairly acceptable physico-chemical properties compared to those of petroleum-based fuel. Adjustment of the hydro catalytic cracking reaction conditions was used to control quantities and characteristics of produced bio aviation fuel. Taking into consideration the economic evaluation WCO is preferable as raw material for bio aviation fuel production due to its low cost and its contribution in environmental pollution abatement. Blend of 5% bio aviation with jet A-1 (by volume) can be used in the engine without any modifications and a successful test of blended aviation fuel with 10% bio aviation has been achieved on Jet-Cat 80/120 engine.

scholarly journals Evaluation of Predictive Capabilities of Regression Models and Artificial Neural Networks for Density and Viscosity Measurements of Different Biodiesel-Diesel-Vegetable Oil Ternary Blends

2018 ◽  
Vol 22 (1) ◽  
pp. 179-205 ◽  
Author(s):  
Mert Gulum ◽  
Funda Kutlu Onay ◽  
Atilla Bilgin
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Vegetable Oil ◽  
Vegetable Oils ◽  
Diesel Fuel ◽  
Alternative Fuels ◽  
Waste Cooking Oil ◽  
Ternary Blends ◽  
Cooking Oil ◽  
Artificial Neural

Abstract Nowadays, biodiesel and vegetable oils have received increasing attention as renewable clean alternative fuels to fossil diesel fuel because of decreasing petroleum reserves and increasing environmental concerns. However, the straight use of biodiesel and vegetable oils in pure form results in several operational and durability problems in diesel engines because of their higher viscosity than fossil diesel fuel. One of the most used methods for solving the high viscosity problem is to blend them with fossil diesel fuel or alcohol. The reliable viscosity and density data of various biodiesel-diesel-alcohol ternary blends or biodiesel-diesel binary blends are plentifully available in existing literature, however, there is still the scarcity of dependable measurement values on different biodiesel-diesel-vegetable oil ternary blends at various temperatures. Therefore, in this study, waste cooking oil biodiesel (ethyl ester) was produced, and it was blended with fossil diesel fuel and waste cooking oil at different volume ratios to prepare ternary blends. Viscosities and densities of the ternary blends were determined at different temperatures according to DIN 53015 and ISO 4787 standards, respectively. The variation in viscosity with respect to temperature and oil fraction and the change of density vs. temperature were evaluated, rational and exponential models were proposed for these variations, and these models were tested against the density and viscosity data measured by the authors, Nogueira et al. and Baroutian et al. by comparing them to Gupta et al. model, linear model, Cragoe model and ANN (artificial neural networks) previously recommended in existing literature.

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