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地填写文献信息,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!

Performance of Activated Carbons Derived from Date Seeds in CO2 Swing Adsorption Determined by Combining Experimental and Molecular Simulation Data

吸附 活性炭 碳纤维 化学 分子动力学 热力学 蒙特卡罗方法 过程(计算) 燃烧 摇摆 材料科学 计算机科学 物理化学 计算化学 物理 复合数 声学 复合材料 操作系统 统计 数学
作者
Daniel Bahamón,Adetola E. Ogungbenro,Maryam Khaleel,Mohammad R.M. Abu‐Zahra,Lourdes F. Vega
出处
期刊:Industrial & Engineering Chemistry Research [American Chemical Society]
卷期号:59 (15): 7161-7173 被引量:28
标识
DOI:10.1021/acs.iecr.9b05542
摘要

The ability to experimentally control the structural features of activated carbons (ACs), combined with current advances in modeling carbon-based materials at the atomic level, allows one to build predictive models for the process design of novel applications. This contribution is devoted to molecular simulations of CO2 in ACs, starting from building the atomistic adsorbent model, validated with experimental results, and simulating its application for CO2 capture and separation by adsorption. Single components and competitive adsorption data of binary mixtures from different industrial streams (e.g., CO2/N2 and CO2/CH4) were obtained by Grand Canonical Monte Carlo (GCMC) simulations, performed under typical operating conditions for the separation of streams associated with post-combustion and natural gas sweetening. We employed a previously published modeling technique to represent ACs, based on packing noninterconnected functionalized fragments of carbon sheets with surface heterogeneities. GCMC simulations were first used to calculate adsorption isotherms and isosteric heats to analyze the performance of the ACs for CO2 capture. Predicted process parameters such as working capacities and purities were evaluated and complemented with energetic performance for swing adsorption processes, with and without preadsorbed traces of water. Results show that the presence of preadsorbed water does not significantly affect the adsorption performance, but it influences the energy consumption of the process. Furthermore, a small amount of water can improve the CO2 capture performance in some specific cycles at low pressures.

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
39秒前
简单谷波发布了新的文献求助30
46秒前
55秒前
9527发布了新的文献求助10
1分钟前
2分钟前
balko发布了新的文献求助10
2分钟前
笨笨的怜雪完成签到 ,获得积分10
2分钟前
紫焰完成签到 ,获得积分10
2分钟前
balko完成签到,获得积分10
3分钟前
3分钟前
科研通AI2S应助科研通管家采纳,获得10
3分钟前
asdf完成签到 ,获得积分10
3分钟前
简单谷波完成签到,获得积分10
3分钟前
roe完成签到 ,获得积分10
3分钟前
yuchuncheng完成签到,获得积分10
4分钟前
Eatanicecube完成签到,获得积分10
4分钟前
5分钟前
Akim应助anke采纳,获得10
5分钟前
科研通AI6.4应助anke采纳,获得10
5分钟前
5分钟前
南岸发布了新的文献求助10
5分钟前
5分钟前
5分钟前
CipherSage应助南岸采纳,获得10
5分钟前
anke发布了新的文献求助10
5分钟前
Sandy发布了新的文献求助10
5分钟前
anke发布了新的文献求助10
6分钟前
zhao完成签到 ,获得积分10
6分钟前
顾矜应助anke采纳,获得10
6分钟前
liuya关注了科研通微信公众号
6分钟前
6分钟前
6分钟前
anke发布了新的文献求助10
6分钟前
聪明但笨发布了新的文献求助10
6分钟前
liuya发布了新的文献求助10
6分钟前
科研通AI6.3应助Willa采纳,获得30
6分钟前
zsmj23完成签到 ,获得积分0
7分钟前
xiaoleeyu完成签到,获得积分10
7分钟前
7分钟前
Willa发布了新的文献求助30
8分钟前
高分求助中
Overcoming Stigma and Bias in Obesity Management 800
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Bounds for Statistical Estimation in Semiparametric Models 500
Climate change and sports: Statistics report on climate change and sports 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
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 6472792
求助须知:如何正确求助?哪些是违规求助? 8276356
关于积分的说明 17646549
捐赠科研通 5552279
什么是DOI,文献DOI怎么找? 2909630
邀请新用户注册赠送积分活动 1886391
关于科研通互助平台的介绍 1737892