Simulation of a Commercial-Scale Entrained Flow Gasifier Using a Dynamic Reduced Order Model

木材气体发生器 共烧 合成气 工艺工程 冷启动(汽车) 环境科学 熔渣(焊接) 堆栈(抽象数据类型) 工作(物理) 核工程 废物管理 机械工程 工程类 汽车工程 计算机科学 化学 有机化学 程序设计语言
作者
Rory F.D. Monaghan,Ahmed F. Ghoniem
出处
期刊:Energy & Fuels [American Chemical Society]
卷期号:26 (2): 1089-1106 被引量:22
标识
DOI:10.1021/ef201551m
摘要

The development of accurate, flexible, and robust dynamic reduced order models (ROMs) of entrained flow gasifiers (EFGs) is an important step toward greater commercialization of that technology. Previous work by the authors described the development, validation, and sensitivity analysis of such a ROM.(1, 2) This paper presents the results of dynamic simulation of a commercial-scale General Electric (GE or Texaco) gasifier and syngas cooling system. The base case for simulation is introduced, and the ROM is used to simulate six cases of dynamic gasifier operation. The objective of this work is to develop a computationally efficient simulator to assess steady-state and dynamic performance of entrained flow gasifiers under a wide range of realistic operating conditions. The six cases simulated are (1) removal of fluxant, (2) load following, (3) feed switching, (4) coal–petroleum coke cofiring, (5) coal–biomass cofiring, and (6) gasifier cold start. The results of dynamic simulation show that slagging properties (viscosity, temperature, and layer thickness) are always the last variables to reach steady state. This is primarily due to the large heat capacity of gasifier refractory walls. For the fuel-switching and cofiring cases, slag viscosity is found to be extremely sensitive to feedstock ash composition and gasifier refractory wall temperature. For cases 1–5, syngas production is predicted to reach steady state with very little lag. The ROM predicts gasifier cold start to occur over a time-scale of 50–60 h. The main reason for such a long start-up time is the requirement to limit maximum rates of heating of refractory faces. The simulation result agrees with industrial experience of start-up times of 2–3 days. All dynamic simulations took 15–45 min on a desktop personal computer, with the exception of the gasifier cold start case, which took 6 h.
最长约 10秒,即可获得该文献文件

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
2秒前
Besty发布了新的文献求助10
4秒前
贼吖完成签到 ,获得积分10
5秒前
5秒前
6秒前
6秒前
7秒前
丘比特应助维尼采纳,获得10
8秒前
rubo发布了新的文献求助10
9秒前
小王关注了科研通微信公众号
9秒前
10秒前
科目三应助俏皮梦桃采纳,获得10
12秒前
SYLH应助日常常采纳,获得20
12秒前
bendanzxx发布了新的文献求助10
12秒前
min发布了新的文献求助10
13秒前
顾矜应助张资阳采纳,获得10
15秒前
15秒前
老金金完成签到 ,获得积分10
15秒前
15秒前
15秒前
17秒前
wangsenyu发布了新的文献求助20
18秒前
阳和启蛰发布了新的文献求助10
19秒前
英俊的铭应助min采纳,获得10
19秒前
20秒前
yshq完成签到,获得积分10
22秒前
aa完成签到,获得积分20
25秒前
NexusExplorer应助椰果采纳,获得10
26秒前
26秒前
shufessm完成签到,获得积分0
27秒前
搜集达人应助盈盈采纳,获得10
28秒前
虚拟的以南完成签到,获得积分10
29秒前
能干谷梦完成签到 ,获得积分10
30秒前
31秒前
雨中尘埃发布了新的文献求助10
31秒前
32秒前
Jasper应助大脚采纳,获得10
32秒前
OmmeHabiba完成签到,获得积分10
33秒前
情怀应助lxz采纳,获得10
36秒前
科研通AI5应助小熊采纳,获得10
37秒前
高分求助中
Technologies supporting mass customization of apparel: A pilot project 600
Introduction to Strong Mixing Conditions Volumes 1-3 500
China—Art—Modernity: A Critical Introduction to Chinese Visual Expression from the Beginning of the Twentieth Century to the Present Day 430
Tip60 complex regulates eggshell formation and oviposition in the white-backed planthopper, providing effective targets for pest control 400
A Field Guide to the Amphibians and Reptiles of Madagascar - Frank Glaw and Miguel Vences - 3rd Edition 400
China Gadabouts: New Frontiers of Humanitarian Nursing, 1941–51 400
The Healthy Socialist Life in Maoist China, 1949–1980 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3797577
求助须知:如何正确求助?哪些是违规求助? 3342959
关于积分的说明 10314242
捐赠科研通 3059647
什么是DOI,文献DOI怎么找? 1679045
邀请新用户注册赠送积分活动 806307
科研通“疑难数据库(出版商)”最低求助积分说明 763093