Statistical optimization of electrochemical conversion of heavy fuel oil to valuable products using response surface methodology

作者: F. Mohammadi , Sh. Mokhtari , A. Naderifar

DOI: 10.1016/J.PSEP.2020.10.020

关键词:

摘要: Abstract Mediated electro-membrane oxidation was employed to convert a refinery heavy fuel oil (HFO) valuable liquid and solid products (heavy residuals) at mild conditions. Response surface methodology (RSM) engaged obtain maximum conversion of HFO by implementing the central composite design (CCD). Based on prediction optimization functions, optimum conditions for were then established. When Ag (I) concentration, content, electrolysis temperature time adjusted 0.56 M, 1.2 wt. %, 32 °C 11 min, respectively, converted product comprising 10 % gasoline kerosene, 20 atmospheric gasoil, 40 vacuum gasoil 30 residuals. These very close model predictions representing reliability RSM technique. FTIR results after electrochemical confirmed production branched aliphatic groups regeneration interacting hydroxyl carbonyl residuals products. Sim-Dist revealed that during indirect electrolysis, cracking initial lighter occurred. Besides, morphology showed formation calcined coke. Some pores agglomerated asphaltenes observed which are likely linked former presence resinous components removed electrolysis.

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