Effect of design and operating parameters on the gasification process of biomass in a downdraft fixed bed: An experimental study

生物质气化 过程(计算) 生物量(生态学) 环境科学 工艺工程 材料科学 计算机科学 地质学 工程类 海洋学 操作系统
作者
Feiqiang Guo,Yuping Dong,Lei Dong,Chenlong Guo
出处
期刊:International Journal of Hydrogen Energy [Elsevier]
卷期号:39 (11): 5625-5633 被引量:121
标识
DOI:10.1016/j.ijhydene.2014.01.130
摘要

Abstract The main objective of this paper is to study the effect of design and operating parameters, mainly reactor geometry, equivalence ratio and biomass feeding rate, on the performance of the gasification process of biomass in a three air stage continuous fixed bed downdraft reactor. The gasification of corn straw was carried out in the gasifier under atmospheric pressure, using air as gasifying agent. The results demonstrated that due to the three stage of air supply, a high and uniform temperature was achieved in the oxidation and reduction zones for better tar cracking. The designing of both the air supply system and rotating grate avoided bridging and channeling. The gas composition and tar yield were affected by the parameters including equivalence ratio (ER) and biomass feeding rate. When biomass feeding rate was 7.5 kg/h and ER was 0.25–0.27, the product gas of the gasifier attained a good condition with lower heating value (LHV) about 5400 kJ/m3 and cold gas efficiency about 65%. An increase in equivalence ratio led to higher temperature which in turn resulted in lower tar yield which was only 0.52 g/Nm3 at ER = 0.32. Increasing biomass feeding rate led to higher biomass consumption rate and process temperature. However, excessively high feeding rate was unbeneficial for biomass gasification cracking and reforming reactions, which led to a decrease in H2 and CO concentrations and an increase in tar yield. When ER was 0.27, with an increase of biomass feeding rate from 5.8 kg/h to 9.3 kg/h, the lower heating value decreased from 5455.5 kJ/Nm3 to 5253.2 kJ/Nm3 and tar yield increased from 0.82 g/Nm3 to 2.78 g/Nm3.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Triumph完成签到,获得积分10
刚刚
雨青完成签到 ,获得积分10
刚刚
1秒前
小白不白发布了新的文献求助10
1秒前
赘婿应助风的忧伤采纳,获得10
2秒前
老李发布了新的文献求助10
2秒前
2秒前
云中子发布了新的文献求助10
3秒前
科研通AI6.1应助会懂的采纳,获得10
6秒前
直率初露发布了新的文献求助10
6秒前
7秒前
蚂蚁工人发布了新的文献求助10
8秒前
8秒前
pluto应助WSS采纳,获得10
8秒前
8秒前
9秒前
9秒前
9秒前
10秒前
大鼻子的新四岁完成签到,获得积分10
10秒前
10秒前
11秒前
冷傲的擎汉完成签到 ,获得积分10
11秒前
科研通AI6.1应助晚意采纳,获得10
11秒前
许家星发布了新的文献求助10
12秒前
12秒前
12秒前
13秒前
JosephLee完成签到 ,获得积分10
13秒前
段舍离完成签到,获得积分10
13秒前
13秒前
13秒前
14秒前
唔打发布了新的文献求助10
14秒前
四十完成签到 ,获得积分10
14秒前
情怀应助iuv采纳,获得10
14秒前
XXX发布了新的文献求助10
15秒前
现实的雁兰完成签到,获得积分20
15秒前
冷艳怜烟发布了新的文献求助10
15秒前
15秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Kinesiophobia : a new view of chronic pain behavior 3000
Les Mantodea de guyane 2500
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 2000
Standard: In-Space Storable Fluid Transfer for Prepared Spacecraft (AIAA S-157-2024) 1000
Signals, Systems, and Signal Processing 510
Discrete-Time Signals and Systems 510
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5948826
求助须知:如何正确求助?哪些是违规求助? 7118154
关于积分的说明 15913428
捐赠科研通 5081759
什么是DOI,文献DOI怎么找? 2732213
邀请新用户注册赠送积分活动 1692603
关于科研通互助平台的介绍 1615456