Preparation of supported bimetallic Ce Fe activated carbon for desulfurization reaction

Joint Authors

al-Tabbakh, Ban. A.
Abbas, Marwah. N.
Husayn, Halah. H.
Husayn, Sura K.

Source

مجلة البحوث و الدراسات النفطية

Publisher

Ministry of Oil Petroleum Research and Development Center

Publication Date

2022-03-31

Country of Publication

Iraq

No. of Pages

18

Main Subjects

Industrial Engineering

Topics

• Methodology
• Variance analysis
• Sulfur compounds
• Response surfaces(Statistics)
• Desulphuration
• Activated carbon

English Abstract

Activated carbon is loaded with 2 totally different metals: Ce and iron.

The catalyst was characterised by Brunauer Emmett Teller (BET) and Fourier rework Infrared (FTIR).

The discharged conditioner had the best area and pore volume of 1100 m2/g and 0.3 cm3/g, respectively.

AC/Ce/Fe achieved the best kerosene adsorption performance (75% ) though the lowest surface area and pore volume of 965.7608 m2/g and 0.39 cm3/g due to the acidic sites required for adsorption of sulfur compounds.

Batch experiments with AC/Ce/Fe showed a high adsorption capacity.

These experiments were designed by Minitab Response Surface Methodology RSM 2019.

The Analysis of variance ANOVA shows that the concentration of H2O2 has most significant effect on the sulfur removal followed by reaction time and temperature, respectively.

The model optimization was set its parameters additives 10 ml H2O2, temperature 80 0C and time 5 hr.

Activated carbon is loaded with 2 totally different metals: Ce and iron.

The catalyst was characterised by Brunauer Emmett Teller (BET) and Fourier rework Infrared (FTIR).

The discharged conditioner had the best area and pore volume of 1100 m2/g and 0.3 cm3/g, respectively.

AC/Ce/Fe achieved the best kerosene adsorption performance (75% ) though the lowest surface area and pore volume of 965.7608 m2/g and 0.39 cm3/g due to the acidic sites required for adsorption of sulfur compounds.

Batch experiments with AC/Ce/Fe showed a high adsorption capacity.

These experiments were designed by Minitab Response Surface Methodology RSM 2019.

The Analysis of variance ANOVA shows that the concentration of H2O2 has most significant effect on the sulfur removal followed by reaction time and temperature, respectively.

The model optimization was set its parameters additives 10 ml H2O2, temperature 80 0C and time 5 hr.

Data Type

Conference Papers

Record ID

BIM-1403761

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