کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8077309 | 1521474 | 2014 | 11 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Prediction of biomass-generated syngas using extents of major reactions in a continuous stirred-tank reactor
ترجمه فارسی عنوان
پیش بینی جریان گاز تولید شده با زیست توده با استفاده از محدودیت های واکنش های اصلی در یک راکتور مخزن پیوسته
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کلمات کلیدی
گازسیون زیست توده، همگاز، سینتیک، تعادل گیبس، میزان واکنش،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی انرژی
انرژی (عمومی)
چکیده انگلیسی
Syngas, the main gasification product, is a well-known intermediate for making fuels, chemicals and power. The objective of this study was to develop and validate reaction kinetics-based gasification model using extents of major reactions in a CSTR (continuous stirred-tank reactor) to predict syngas composition and yield. The model was studied by varying biomass and air flowrates from 2.9 to 4.2 dry kg/h and 4.5-10 kg/h, respectively, with temperature from 801 to 907 °C. Results showed significant improvement in the predictions of syngas composition and yield, and gasification efficiency. The extents of gasification reactions indicated that at ERs (equivalence ratios) below 0.32, the water gas reaction contributed the most to the syngas CO and H2 yields. The char oxidation reaction was also the dominating reaction contributing to CO yield at ERs below 0.40. At ERs above 0.29, the Boudouard and methane oxidation reactions were the most dominating reactions contributing to the CO yield while the water gas shift reaction contributed to the H2 yield. The developed model corrected one of the key underlying assumptions that biomass decomposes into elemental forms (C, H, O, N and S), however, gasification temperature, carbon conversion efficiency and tar yield were assumed to be given.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Energy - Volume 72, 1 August 2014, Pages 222-232
Journal: Energy - Volume 72, 1 August 2014, Pages 222-232
نویسندگان
Ashokkumar M. Sharma, Ajay Kumar, Sundararajan Madihally, James R. Whiteley, Raymond L. Huhnke,