合成气
化学
tar(计算)
稻草
制浆造纸工业
蒸汽重整
废物管理
原材料
生物量(生态学)
催化作用
催化重整
化学工程
制氢
有机化学
无机化学
农学
程序设计语言
工程类
生物
计算机科学
作者
Muhammad Hasnain,Hassan Osaf Ali,Shahid Aziz,Patrick Mountapmbeme Kouotou,Muhammad Waqas,Syed Murawat Abbas Naqvi,Muhammad Hassaan Athar,Muhammad Ammar,Imran Shah,Dong Won Jung
标识
DOI:10.1016/j.arabjc.2024.105821
摘要
Biomass gasification efficiently produces heat, electricity, and power. However, removing harmful contaminants from raw syngas is crucial. Tar production is a challenge due to blockage, plugging, and corrosion. Tar steam reforming (TSR) is the most promising technique, converting high molecular weight hydrocarbons into CO, CO2, H2, and CH4. In this study, a model of biomass gasification using wheat straw as biomass feedstock has been developed using Aspen Plus. The gasification flow sheet encompasses gasification, catalytic filter candle, gas cleaning, impurity removal reactor, separator, and subsequent sorbent reactors. Ni-based catalysts with Ni ratios (5%, 10%, and 15%) are used to simulate TSR reactions. Results show that the 15% Ni-Co-Al2O3 catalyst outperforms the 10% and 5% Ni-Co-Al2O3 catalysts. This study explores the impact of temperature, catalyst loadings, and steam-to-carbon (S/C) ratios on toluene conversion and hydrogen yield in catalytic steam reforming, along with temperature, steam-to-biomass ratios, and equivalence ratio on syngas fraction in gasification. It includes a techno-economic analysis of wheat straw gasification to improve syngas energy through efficient tar conversion.
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