Emissions From Oxy-Combustion of Raw and Torrefied Biomass

作者
Xiaoxiao Meng,Emad Rokni,Wei Zhou,Hongliang Qi,Rui Sun,Yiannis A. Levendis
出处
期刊:Journal of Energy Resources Technology-transactions of The Asme [ASM International]
卷期号:142 (12) 被引量:25
标识
DOI:10.1115/1.4047330
摘要

Abstract This work assesses the evolution of acid gases from raw and torrefied biomass (distiller’s dried grains with solubles and rice husk) combustion in conventional (air) and simulated oxy-combustion (oxygen/carbon dioxide) environments. Emphasis was placed on the latter, as oxy-combustion of renewable or waste biomass, coupled with carbon capture and utilization or sequestration, could be a benefit toward mitigating global warming. The oxy-combustion environments were set to 21%O2/79%CO2 and 30%O2/70%CO2. Results revealed that combustion of either raw or torrefied biomass generated CO2 emissions that were lower in 21%O2/79%CO2 than at 30%O2/70%CO2, whereas CO emissions exhibited the opposite trend. Emissions of CO from combustion in air were drastically lower than those in the two oxy-combustion environments and those in 21%O2/79%CO2 were the highest. Emissions of NO followed the same trend as those of CO2, while HCN emissions followed the same trend as those of CO. Emissions of NO were higher than those of HCN. The emissions of SO2 were lower in oxy-combustion than in air combustion. Moreover, combustion of torrefied biomass generated higher CO2 and NO, comparable CO and SO2, and lower HCN emissions than combustion of raw biomass. Out of the three conditions tested in this study, oxy-combustion of biomass, either in the raw and torrefied state, attained the highest combustion effectiveness and caused the lowest CO, HCN, and SO2 emissions when the gas composition was 30%O2/70%CO2.

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
iknj完成签到,获得积分10
刚刚
搜集达人应助南风采纳,获得10
刚刚
刚刚
ZJH关闭了ZJH文献求助
刚刚
18N没有眼泪完成签到 ,获得积分10
2秒前
冰电镜完成签到 ,获得积分10
2秒前
2秒前
科研通AI6.3应助开心采纳,获得10
4秒前
藏锋守拙123完成签到,获得积分10
4秒前
CipherSage应助燕恩欢采纳,获得10
4秒前
obese完成签到,获得积分10
5秒前
微笑猎豹发布了新的文献求助10
5秒前
海涛完成签到,获得积分10
5秒前
6秒前
lkk发布了新的文献求助10
6秒前
唐九夏的关门弟子完成签到,获得积分10
7秒前
7秒前
执着的紫雪完成签到,获得积分10
7秒前
深情安青应助清秀曼寒采纳,获得10
9秒前
momo发布了新的文献求助10
9秒前
仁爱致远完成签到 ,获得积分10
10秒前
woshi123应助ghmghm9910采纳,获得30
10秒前
11秒前
李爱国应助Jelly0519采纳,获得10
12秒前
linjiabo完成签到,获得积分20
12秒前
科雨发布了新的文献求助10
12秒前
12秒前
13秒前
szmsnail发布了新的文献求助10
14秒前
14秒前
moritree发布了新的文献求助10
17秒前
用户9527完成签到,获得积分10
17秒前
思源应助violet采纳,获得10
18秒前
Eric完成签到,获得积分10
18秒前
指已成殇完成签到,获得积分10
18秒前
19秒前
hu完成签到,获得积分10
19秒前
whisper发布了新的文献求助10
19秒前
20秒前
click发布了新的文献求助20
21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
APA handbook of comparative psychology: Basic concepts, methods, neural substrate, and behavior 1000
Child and Adolescent Mental Health 600
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
Römisch-Germanische Forschungen 500
Electric machines: theory, operating applications, and controls 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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7600236
求助须知:如何正确求助?哪些是违规求助? 9176361
关于积分的说明 19648621
捐赠科研通 7176255
什么是DOI,文献DOI怎么找? 3268622
关于科研通互助平台的介绍 2433042
邀请新用户注册赠送积分活动 2262196