Utilization of spray-dried nanoporous gamma alumina support in biodiesel production from waste cooking oil

Khanbolouk, Faraz; Akia, Mandana; Arandiyan, Hamidreza; Yazdani, Farshad; Dortaj, Yasin

doi:10.1007/s40097-017-0214-9

Cited by 7 publications

(3 citation statements)

References 34 publications

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“…Waste cooking oil+methanol γ-alumina+coconut chaff 93.84 [40] Vegetable oil+methanol Alumina+KI 97.70 [41] Waste cooking oil+methanol Alumina+sulfated zirconia 93.50 [42] Karanja oil+methyl acetate γ-alumina 70 [43] Rubber seed oil+methanol Alumina+CaO+KI 91.60 [44] Canola oil+methanol KOH+carbonated alumina+calcium oxide 96.30 [45] Waste cooking oil+methanol K/Fe 2 O 3 /γ-alumina 99 [46] Waste cooking oil+methanol γ-alumina+KOH, LiNO 3 , NaOH 99 [47] Waste cooking oil+methanol+acetone Alumina+CaCO 3 97.98 [48] Palm oil+methanol γ-alumina+CaO 90.11 [49] Non-edible oil+methanol Alumina+molybdenum 80.90 [50] Soybean oil+oleic acid+ethanol α-alumina 80.3 This study Sulfated α-alumina 93.4…”

Section: Oil and Alcoholmentioning

confidence: 99%

Microstructure and morphology of mechanically sulfated acid catalysts of α-Al2O3

et al. 2021

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This work reports the evaluation of the microstructure, morphology, and catalytic behavior of α-Al 2 O 3 synthesized via combustion method for esterification reaction of oleic acid in soybean oil with ethanol to produce biodiesel. The reaction was evaluated with 2 wt% of catalyst at 160 °C for 3 h when the molar ratio of fatty acid:ethanol was 1:12. To enhance the catalytic performance of α-Al 2 O 3 , its sulfation was done by a different method using mechanical milling. The microcatalysts were characterized by X-ray diffraction, Fourie transform infrared spectroscopy, granulometric analysis, and scanning electron microscopy. Results showed α-Al 2 O 3 as the major phase, presence of SO 4 2groups, the contribution of the sulfation process to morphology with reduction of agglomerates, and particle size from 18.98 to 15.30 mm. The yield of ester was enhanced from 80% (α-Al 2 O 3 as a catalyst) to 93% (SO 4 2-/α-Al 2 O 3 as a catalyst), which showed the milling as a fast method for synthesis of a highly efficient acid catalyst to produce biodiesel.

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Section: Oil and Alcoholmentioning

confidence: 99%

Microstructure and morphology of mechanically sulfated acid catalysts of α-Al2O3

et al. 2021

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“…The efficiency of the catalysts in both fixed bed and fluidized bed reactors is highly dependent on the shape and physical properties of supports [9]. Hence various techniques have been proposed for shaping, including: spray drying [10,11], pan granulation [12], pelletiza-tion extrusion [13], sol-gel/oil-drop granulation methods [14][15][16][17]. Each of these techniques has its benefits and limitations.…”

Section: Introductionmentioning

confidence: 99%

The effects of processing parameters on structure of mesoporous γ-alumina granules synthesized by sol-gel/oil-drop method: Modelling via response surface methodology

Mohammadi

Shabani

Mirkazemi

et al. 2022

PAC

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Sol-gel/oil-drop granulation technique was used to prepare mesoporous ?-Al2O3 granules of 1.5-2mm with high specific surface area and pore volume of 295m2/g and 0.47 cm3/g, respectively. The structure of granules was studied using powder XRD, DTA, TEM and N2 adsorption/desorption techniques. A response surface methodology (RSM) holding CCD approach was used for modelling the influence of process variables on the granule pore structure, having a quadratic function relating the independent variables (calcination temperature, acid amount and ammonia concentration) to the responses (specific surface area, mean pore diameter and pore volume). The interaction effect of variables on each response was studied and all were in acceptable accordance with experimental values. Accordingly, the granules synthesized using 20ml of nitric acid, aged in a 9.25wt.% ammonia solution and calcined at 450?C showed the best properties. The predicted values for the specific surface area and pore volume were 315.64m2/g, 7 nm and 0.53 cm3/g, respectively, which were compatible with experimental values.

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“…The primary source of energy today is fossil fuels that have enormously negative environmental consequences, causing many issues around the world [2]. Thankfully, biomass energy with neutral carbons is a viable means of addressing both energy needs and environmental issues [3,4]. In addition, a massive quantity of potential supplies is analyzed each year [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Improved Estimation of Bio-Oil Yield Based on Pyrolysis Conditions and Biomass Compositions Using GA- and PSO-ANFIS Models

Zhao

Han

et al. 2021

BioMed Research International

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This paper incorporates the adaptive neurofuzzy inference system (ANFIS) technique to model the yield of bio-oil. The estimation of this parameter was performed according to pyrolysis conditions and biomass compositions of feedstock. For this purpose, this paper innovates two optimization methods including a genetic algorithm (GA) and particle swarm optimization (PSO). Primary data were gathered from previous studies and included 244 data of biodiesel oils. The findings showed a coefficient determination ( R 2 ) of 0.937 and RMSE of 2.1053 for the GA-ANFIS model, and a coefficient determination ( R 2 ) of 0.968 and RMSE of 1.4443 for PSO-ANFIS. This study indicates the capability of the PSO-ANFIS algorithm in the estimation of the bio-oil yield. According to the performed analysis, this model shows a higher ability than the previously presented models in predicting the target values and can be a suitable alternative to time-consuming and difficult experimental tests.

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Utilization of spray-dried nanoporous gamma alumina support in biodiesel production from waste cooking oil

Cited by 7 publications

References 34 publications

Microstructure and morphology of mechanically sulfated acid catalysts of α-Al2O3

Microstructure and morphology of mechanically sulfated acid catalysts of α-Al2O3

The effects of processing parameters on structure of mesoporous γ-alumina granules synthesized by sol-gel/oil-drop method: Modelling via response surface methodology

Improved Estimation of Bio-Oil Yield Based on Pyrolysis Conditions and Biomass Compositions Using GA- and PSO-ANFIS Models

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