亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整的填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Investigations on transport behaviours of rotating packed bed for CO2 capture by chemical absorption using CFD simulation

计算流体力学 填充床 吸收(声学) 材料科学 环境科学 机械 化学工程 化学 色谱法 工程类 物理 复合材料
作者
Parvathy Sasi,Panneerselvam Ranganathan
标识
DOI:10.1016/j.jgsce.2024.205358
摘要

A rotating packed bed (RPB) has been proposed to overcome the limitations of high operating and capital costs involved in conventional columns which are used for chemical absorption-based carbon dioxide (CO2) capture. The design of large-scale RPBs depends on their transport characteristics. Owing to the difficulties in predicting the transport characteristics of RPBs experimentally, Computational Fluid Dynamics (CFD) simulation has been implemented. In this study, a two-dimensional (2D) volume of fluid (VOF) simulation is conducted to predict transport characteristics of RPB including, hydrodynamics, and physical and reactive mass transfers. To predict hydrodynamics of RPBs accurately, the liquid holdup by CFD simulation is compared against experimental prediction, showing a strong agreement between simulation and experimentation. Various liquid phase flow patterns within RPB are observed and these are cross-referenced with findings in the existing literature. Additionally, the impacts of rotational motion and flow rate are further assessed in the study. For the mass transfer performance, the prediction of the volumetric mass transfer coefficient, kLae of the air-water system from CFD simulation is studied. Two different mass transfer theories such as surface renewal theory and penetration theory are studied to predict kLae. It is observed that the kLae from the penetration theory closely follows the trend of the experimental data. Finally, a 2D simulation of the reactive absorption of CO2 by diethylenetriamine (DETA) in RPB is developed and compared with the existing available data in the literature. The present model underpredicts CO2 capture efficiency in RPB, which needs further improvement in reaction kinetics. In general, the present CFD model has the capability of predicting the transport characteristics of RPB.
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
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
kuoping完成签到,获得积分10
25秒前
顾末完成签到,获得积分10
28秒前
小庄完成签到 ,获得积分10
1分钟前
氯丙嗪完成签到 ,获得积分10
1分钟前
体贴的雁菱完成签到,获得积分10
2分钟前
2分钟前
2分钟前
123完成签到,获得积分10
3分钟前
科研通AI2S应助呆萌盼柳采纳,获得10
4分钟前
5分钟前
丘比特应助糜厉采纳,获得10
5分钟前
5分钟前
糜厉发布了新的文献求助10
5分钟前
suchashing完成签到 ,获得积分10
5分钟前
h0jian09完成签到,获得积分10
6分钟前
qqq完成签到,获得积分10
7分钟前
7分钟前
7分钟前
Jiang发布了新的文献求助10
7分钟前
上官若男应助Paddi采纳,获得10
7分钟前
7分钟前
Paddi发布了新的文献求助10
8分钟前
Paddi完成签到,获得积分10
8分钟前
Jiang完成签到,获得积分10
8分钟前
9分钟前
Jiang发布了新的文献求助10
9分钟前
大个应助科研通管家采纳,获得10
9分钟前
舒适的方盒完成签到 ,获得积分10
9分钟前
明理的慕蕊完成签到,获得积分10
9分钟前
正同学应助pysa采纳,获得10
10分钟前
Noob_saibot完成签到,获得积分10
10分钟前
谨慎火完成签到,获得积分10
10分钟前
NexusExplorer应助Noob_saibot采纳,获得10
10分钟前
脑洞疼应助Ji采纳,获得10
10分钟前
Ji完成签到,获得积分10
11分钟前
11分钟前
小乙猪完成签到 ,获得积分0
12分钟前
汉德萌多林完成签到,获得积分10
12分钟前
搜集达人应助Cherry采纳,获得10
12分钟前
螃蟹One完成签到 ,获得积分10
12分钟前
高分求助中
Earth System Geophysics 1000
Semiconductor Process Reliability in Practice 650
Studies on the inheritance of some characters in rice Oryza sativa L 600
Medicina di laboratorio. Logica e patologia clinica 600
《关于整治突出dupin问题的实施意见》(厅字〔2019〕52号) 500
Mathematics and Finite Element Discretizations of Incompressible Navier—Stokes Flows 500
Language injustice and social equity in EMI policies in China 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3207751
求助须知:如何正确求助?哪些是违规求助? 2857006
关于积分的说明 8108384
捐赠科研通 2522603
什么是DOI,文献DOI怎么找? 1355902
科研通“疑难数据库(出版商)”最低求助积分说明 642234
邀请新用户注册赠送积分活动 613670