کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
771972 1462883 2014 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Synergistic effects and kinetics thermal behaviour of petroleum coke/biomass blends during H2O co-gasification
ترجمه فارسی عنوان
اثرات هم افزایی و حرارتی سینتیکی حرارتی ترکیبات کک نفتی / زیست توده در طی همگازی گاز هیدروژن
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی انرژی (عمومی)
چکیده انگلیسی


• Sugar cane bagasse and blends gasification presented two stages at all H2O values.
• Petroleum coke showed only one char gasification stage at (>700 °C) at 75% H2O.
• Significant interactions are existed in the both reaction stages of samples.
• Higher H2O concentration and PC content lead to higher kinetic parameter values.
• All the models are successfully utilized to predict the experimental data.

This study investigates the possible synergistic interactions between the Sudanese lower sulphur petroleum coke (PC) and sugar cane bagasse (SCB) during H2O co-gasification with three concentration values (25%, 50% and 75% v/v) using a thermogravimetric analyser (TGA) at 20 °C/min. The kinetic thermal behaviour, and effects of both H2O concentration and fuel blending ratio were investigated. The results show that, significant interactions existed in both reaction stages of samples, and become less when PC content and H2O concentration are 50%. Petroleum coke showed only one char gasification stage at (>700 °C) at 75% H2O. Some kinetics models like homogeneous and shrinking core models were studied by the Coats–Redfern method in order to observe the optimum reaction mechanism for the H2O gasification of samples, describe the best reactive behaviour and determine the kinetic parameters. The results showed that, the co-gasification behaviour and kinetic parameters have a significantly influenced by increasing both H2O concentration and PC content. The boundary controlled reaction model (R2) shows the lowest values of activation energy (E) for all samples and H2O concentrations. Finally, all the models are successfully utilized to predict the experimental data under all H2O concentration values.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Energy Conversion and Management - Volume 79, March 2014, Pages 355–366
نویسندگان
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