下吸式固定床的生物质H2O/CO2气化数值模拟研究

郑志行, 张家元, 李谦, 周浩宇

太阳能学报 ›› 2022, Vol. 43 ›› Issue (5) : 377-382.

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太阳能学报 ›› 2022, Vol. 43 ›› Issue (5) : 377-382. DOI: 10.19912/j.0254-0096.tynxb.2020-0925

下吸式固定床的生物质H2O/CO2气化数值模拟研究

  • 郑志行1, 张家元1, 李谦2, 周浩宇2
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NUMERICAL SIMULATION RESEARCH OF BIOMASS H2O/CO2 GASIFICATION IN DOWNDRAFT FIXED BED

  • Zheng Zhihang1, Zhang Jiayuan1, Li Qian2, Zhou Haoyu2
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摘要

利用Aspen Plus 软件建立干桦木屑在下吸式固定床气化炉中的气化模型,模拟值与文献实验值吻合良好。利用Aspen Plus的灵敏度分析模块模拟分别以水蒸气(H2O)和二氧化碳(CO2)为气化剂时气化剂/生物质碳比(GC值)对气化结果的影响,并结合H2O、CO2各自的特点研究其复合气化。结果表明,H2O气化时可获得富氢煤气,但其净CO2排放量较高;CO2气化时碳转化率及冷煤气效率较低,但净CO2排放量较低;H2O、CO2复合气化使碳转化率及冷煤气效率略有降低,但可有效减少气化系统中的净CO2排放量。

Abstract

The gasification model of dry birch sawdust in downdraft fixed bed gasifier is established by Aspen Plus software, and the simulation results are in good agreement with the literature values. The sensitivity analysis module of Aspen Plus is used to simulate the effect of gasifier/biomass carbon ratio (GC value) on gasification results when steam (H2O) and carbon dioxide (CO2) are used as the gasification agent, and the co-gasification of H2O and CO2 is studied in combination with their characteristics. The results show that hydrogen rich gas can be obtained during H2O gasification, but the net CO2 emission is higher. Carbon conversion and cold gas efficiency are lower during CO2 gasification, but net CO2 emission is lower. The co-gasification of H2O and CO2 reduces the carbon conversion and cold gas efficiency slightly, but it effectively reduces the net CO2 emission in the gasification system.

关键词

生物质能 / 灵敏度分析 / 气化 / 下吸式固定床 / 净CO2排放量

Key words

biomass energy / sensitivity analysis / gasification / downdraft fixed bed / net CO2 emission

引用本文

导出引用
郑志行, 张家元, 李谦, 周浩宇. 下吸式固定床的生物质H2O/CO2气化数值模拟研究[J]. 太阳能学报. 2022, 43(5): 377-382 https://doi.org/10.19912/j.0254-0096.tynxb.2020-0925
Zheng Zhihang, Zhang Jiayuan, Li Qian, Zhou Haoyu. NUMERICAL SIMULATION RESEARCH OF BIOMASS H2O/CO2 GASIFICATION IN DOWNDRAFT FIXED BED[J]. Acta Energiae Solaris Sinica. 2022, 43(5): 377-382 https://doi.org/10.19912/j.0254-0096.tynxb.2020-0925
中图分类号: TK6   

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基金

湖南省自然科学基金(2020JJ5994)

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