Simulation of Ash Deposition Behavior in an Entrained Flow Coal Gasifier

木材气体发生器 粉煤灰 沉积(地质) 底灰 熔渣(焊接) 煤气化 材料科学 废物管理 环境科学 冶金 地质学 工程类 复合材料 沉积物 古生物学
作者
Xijia Lu,Ting Wang
出处
期刊:International journal of clean coal and energy [Scientific Research Publishing, Inc.]
卷期号:04 (02): 43-59 被引量:11
标识
DOI:10.4236/ijcce.2015.42005
摘要

Fly ash deposition is an important phenomenon associated with ash/slag handling and discharge in the entrained-flow coal gasification process. Fouling and slagging inside the gasifier may cause reliability and safety problems because they can impose strong negative effects on the gasifier wall in the way of heat transfer and chemical corrosion. For these reasons, this study focuses on investigating the ash deposition distribution inside of a two-stage entrained-flow gasifier. The computational model is developed in order to simulate the gasification process with a focus on modeling ash formation, fly ash, and ash deposition. The Eulerian-Lagrangian approach is applied to solve the reactive thermal-flow field and particle trajectories with heterogeneous reactions. The governing equations include the Navier-Stokes equations, twelve species transport equations, and ten global chemical reactions consisting of three heterogeneous reactions and seven homogeneous reactions. The coal/ash particles are tracked with the Lagrangian method. The effects of different coal/ash injection schemes and different coal types on ash deposition have been investigated. The results show that the two-stage fuel feeding scheme could distribute the ash throughout a larger gasifier's volume and, hence, could reduce the peak ash deposition rate and make the ash distribution more uniform inside the gasifier. Gasification of a high-ash coal results in a high ash deposition rate, low syngas higher heating value (HHV), and low carbon conversion rate. The result of ash deposition rate in this study can be used as a boundary condition to provide ash particle influx distribution for use in slagging models.

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
刚刚
刚刚
留的白完成签到,获得积分10
1秒前
LB完成签到,获得积分20
3秒前
haita发布了新的文献求助10
3秒前
3秒前
4秒前
Five_DoubleNine完成签到,获得积分10
5秒前
5秒前
5秒前
可可完成签到,获得积分10
5秒前
liguanyu1078发布了新的文献求助10
5秒前
LB发布了新的文献求助10
5秒前
6秒前
nihao发布了新的文献求助10
6秒前
万能图书馆应助总喜欢采纳,获得10
6秒前
科研通AI6.2应助Elm采纳,获得20
7秒前
科研通AI6.2应助干净涵双采纳,获得10
7秒前
8秒前
jie发布了新的文献求助10
8秒前
eliot完成签到,获得积分10
8秒前
小只完成签到,获得积分10
8秒前
8秒前
lyc完成签到 ,获得积分10
9秒前
9秒前
我是老大应助计划采纳,获得10
10秒前
10秒前
风趣凝海完成签到,获得积分10
10秒前
deng发布了新的文献求助10
10秒前
牛乃唐发布了新的文献求助10
11秒前
11秒前
seekingalone完成签到,获得积分10
11秒前
11秒前
11秒前
FashionBoy应助只想毕业采纳,获得10
12秒前
嘻嘻发布了新的文献求助10
12秒前
Jasper应助angry_yu采纳,获得10
13秒前
深情安青应助优雅灵波采纳,获得10
13秒前
13秒前
ex完成签到,获得积分10
13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
Chemistry and Physics of Carbon Volume 18 800
The Organometallic Chemistry of the Transition Metals 800
Leading Academic-Practice Partnerships in Nursing and Healthcare: A Paradigm for Change 800
The formation of Australian attitudes towards China, 1918-1941 640
Signals, Systems, and Signal Processing 610
全相对论原子结构与含时波包动力学的理论研究--清华大学 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6432276
求助须知:如何正确求助?哪些是违规求助? 8248015
关于积分的说明 17541488
捐赠科研通 5489503
什么是DOI,文献DOI怎么找? 2896587
邀请新用户注册赠送积分活动 1873148
关于科研通互助平台的介绍 1713263