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School/Department:School of Energy Science and Engineering

Education Level:With Certificate of Graduation for Doctorate Study

Business Address:中南大学 能源科学与工程学院 113

Contact Information:xuxiang@csu.edu.cn

Degree:Doctoral Degree in Engineering

Status:Employed

Alma Mater:中南大学

Xiang Xu

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Education Level:With Certificate of Graduation for Doctorate Study

Alma Mater:中南大学

Journal Publications

Current position: Home / Journal Publications
High yield nitrogen-doped carbon monolith with rich ultramicropores prepared by in-situ activation for high performance of selective CO2 capture

DOI number:10.1016/j.carbon.2021.05.029
Affiliation of Author(s):中南大学
Journal:Carbon
Key Words:Adsorption; CO2 capture and separation; GCMC simulation; Nitrogen doped carbon
Abstract:Constrained by the unsatisfactory physical adsorption capacity and the low carbon yield from chemical activation, practical utilization of carbon materials for CO2 capture and separation (CCS) remains a huge challenge. Herein, we proposed a novel in-situ activation methodology to prepare a category of porous carbon monoliths in which the potassium ion activation sites are evenly introduced through acid-base reaction, contributing to the high carbon yield, abundant ultramicropores as well as rich nitrogen content. Tested at adsorption temperatures of 0, 25 and 40 °C, the as-prepared carbon monoliths display remarkable static CO2 uptake (7.1, 5.0 and 3.7 mmol/g, respectively) and excellent selective adsorption ability in dynamic breakthrough experiment with a binary mixture of CO2/N2 (68, 63 and 67, respectively). Along with the experiments, the CO2 adsorption mechanism was determined by calculating the adsorption density and adsorption energy on slit pore with various pore sizes and surface functionalities using grand canonical Monte Carlo (GCMC) simulation. The narrow micropores can significantly and effectively increase the CO2adsorption capacity, while the functional groups played the second role.
Indexed by:Journal paper
Volume:181
Page Number:270 - 279
ISSN No.:00086223
Translation or Not:no
Date of Publication:2021-08-30
Included Journals:SCI
Links to published journals:https://www.sciencedirect.com/science/article/pii/S0008622321005236?via%3Dihub