摘要
碳捕集技术对于实现碳中和目标不可或缺。特别地,将有机固体废弃物高值化为多孔炭吸附剂并捕集CO_(2),被认为是一种能够同时缓解气候变化以及固废污染的可持续方法,因此其吸附剂的合成与应用得到广泛关注。近年来,除化工、材料、热工研究方法外,在该领域内许多学者应用分子模拟、机器学习、生命周期评价等研究方法,在固废高值化为CO_(2)吸附剂方面进行了卓有特色的交叉研究。然而,上述交叉研究仍较为分散,缺乏脉络总结,其丰厚潜力还未得到系统阐明。本文综述了固废高值化为多孔炭吸附剂的研究进展,除常规工艺方法、制取吸附剂的性能水平外,侧重于展示该领域中应用的交叉研究,包含分子模拟、机器学习、生命周期评价三方面。本文通过脉络梳理可为该领域内交叉研究的潜在发展方向提供指引。
Carbon capture technologies is indispensable to achieve carbon neutrality goals.In particular,upcycling organic solid waste into porous carbon materials for capturing CO_(2) is a sustainable and practical approach that simultaneously mitigates climate change and solid waste pollutions,and thus the syntheses and applications of its adsorbents have been extensively explored.In recent years,in addition to chemical engineering,material science and thermal engineering research methods,many scholars in this field have used molecular simulation,machine learning,life cycle assessment and other research methods to carry out distinctive cross-research on valorization of organic solid waste into CO_(2) adsorbents.However,the above-mentioned cross-cutting research is still relatively scattered,lacking a contextual summary,and its rich potential has not been systematically elucidated.This review addressed the research advances on upcycling organic solid waste into porous carbons for adsorbing CO_(2).In addition to the conventional process methods and the performance level of the adsorbents,it focused on the application of cross-research in this field,mainly including molecular simulation,machine learning and life cycle assessment.This review provided valuable guidelines for the potential development direction of cross-research in this field through contextual analyses.
作者
黄致新
王珺瑶
袁湘洲
邓帅
赵洁
张欣懿
HUANG Zhixin;WANG Junyao;YUAN Xiangzhou;DENG Shuai;ZHAO Jie;ZHANG Xinyi(Key Laboratory of Efficient Utilization of Low and Medium Grade Energy,Tianjin 300350,China;School of Materials and Energy,Guangdong University of Technology,Guangzhou 510006,Guangdong,China;Ministry of Education of Key Laboratory of Energy Thermal Conversion and Control,School of Energy and Environment,Southeast University,Nanjing 210096,Jiangsu,China;Department of Chemical and Biomolecular Engineering,Faculty of Engineering,National University of Singapore,Kent Ridge Crescent 119260,Singapore)
出处
《化工进展》
EI
CAS
CSCD
北大核心
2024年第10期5748-5764,共17页
Chemical Industry and Engineering Progress
基金
国家自然科学基金青年项目(72104257)
天津市自然科学基金重点项目(22JCZDJC00540)。
关键词
碳中和
多孔炭
碳捕集
分子模拟
机器学习
生命周期评价
carbon neutral
porous carbon
carbon capture
molecular simulation
machine learning
life cycle assessment