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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
英姑应助暗中讨饭采纳,获得10
刚刚
只争朝夕应助科研通管家采纳,获得10
1秒前
香蕉觅云应助科研通管家采纳,获得10
1秒前
Hello应助科研通管家采纳,获得10
1秒前
1秒前
wanci应助科研通管家采纳,获得10
1秒前
领导范儿应助qwer采纳,获得10
1秒前
1秒前
1秒前
1秒前
无尘发布了新的文献求助10
1秒前
2秒前
田様应助sylus采纳,获得10
3秒前
xr123456发布了新的文献求助10
3秒前
思絮完成签到 ,获得积分10
5秒前
自由冬亦完成签到,获得积分10
5秒前
嘿嘿发布了新的文献求助10
6秒前
安静的鸽子完成签到,获得积分10
7秒前
疯狂的曲奇完成签到,获得积分10
8秒前
8秒前
PhD_HanWu完成签到,获得积分10
9秒前
13秒前
薛而不思则罔完成签到 ,获得积分10
13秒前
等待从阳发布了新的文献求助30
13秒前
弹剑作歌完成签到,获得积分10
16秒前
18秒前
英姑应助Dr.c采纳,获得10
18秒前
慕青应助水中捞月采纳,获得10
19秒前
小琪发布了新的文献求助10
19秒前
yyanxuemin919发布了新的文献求助10
20秒前
23秒前
fy2001发布了新的文献求助30
25秒前
hhh555完成签到,获得积分10
25秒前
26秒前
小马甲应助zkeeee采纳,获得10
26秒前
酷炫灰狼发布了新的文献求助10
27秒前
xr123456完成签到,获得积分10
28秒前
范fan发布了新的文献求助10
28秒前
29秒前
沉默红牛完成签到,获得积分20
30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
List of 1,091 Public Pension Profiles by Region 1621
Lloyd's Register of Shipping's Approach to the Control of Incidents of Brittle Fracture in Ship Structures 800
King Tyrant 600
Essential Guides for Early Career Teachers: Mental Well-being and Self-care 500
A Guide to Genetic Counseling, 3rd Edition 500
Laryngeal Mask Anesthesia: Principles and Practice. 2nd ed 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5563539
求助须知:如何正确求助?哪些是违规求助? 4648430
关于积分的说明 14684815
捐赠科研通 4590392
什么是DOI,文献DOI怎么找? 2518479
邀请新用户注册赠送积分活动 1491143
关于科研通互助平台的介绍 1462432