化学吸收法燃烧后碳捕集技术的研究进展与展望

Akinwale Akinmoladun, Olusegun Stanley Tomomewo
{"title":"化学吸收法燃烧后碳捕集技术的研究进展与展望","authors":"Akinwale Akinmoladun,&nbsp;Olusegun Stanley Tomomewo","doi":"10.1016/j.ccst.2025.100461","DOIUrl":null,"url":null,"abstract":"<div><div>Population growth and economic development are increasing greenhouse gas emissions, necessitating the implementation of sustainable practices. Post-combustion carbon capture (PCC) is an effective technology for reducing emissions. This review discusses chemical absorption being the most advanced method in PCC. It presents challenges and improvements in energy, cost, and environmental impacts of absorption processes. New solvents, renewable integration, innovative and hybrid configurations are reducing costs, with regeneration energy as low as 2 GJ/t CO<sub>2</sub> in recent pilot-scale tests. Novel machine learning algorithms show high accuracy in predicting outcomes for solvent screening, process modelling, and optimization. They significantly reduce processing and data acquisition time by 47 %. We present technological improvements, policy incentives, and emerging business models in carbon capture and storage (CCS) for a thorough review. Several countries are yet to establish robust regulations for CCS development. We identify the impacts of part-load operation of power plants due to renewable energy sources in the grid. This study combines technical insights, business considerations, and regulatory developments to benefit a broad audience, including policymakers, industries, and academia. Our findings underscore the importance of interdisciplinary collaboration, policy incentives, and investment driven by evolving business models in upscaling PCC technology. Finally, we present recommendations and research priorities for the successful implementation of chemical absorption-based PCC.</div></div>","PeriodicalId":9387,"journal":{"name":"Carbon Capture Science & Technology","volume":"16 ","pages":"Article 100461"},"PeriodicalIF":0.0000,"publicationDate":"2025-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Advances and future perspectives in post-combustion carbon capture technology using chemical absorption process: A review\",\"authors\":\"Akinwale Akinmoladun,&nbsp;Olusegun Stanley Tomomewo\",\"doi\":\"10.1016/j.ccst.2025.100461\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Population growth and economic development are increasing greenhouse gas emissions, necessitating the implementation of sustainable practices. Post-combustion carbon capture (PCC) is an effective technology for reducing emissions. This review discusses chemical absorption being the most advanced method in PCC. It presents challenges and improvements in energy, cost, and environmental impacts of absorption processes. New solvents, renewable integration, innovative and hybrid configurations are reducing costs, with regeneration energy as low as 2 GJ/t CO<sub>2</sub> in recent pilot-scale tests. Novel machine learning algorithms show high accuracy in predicting outcomes for solvent screening, process modelling, and optimization. They significantly reduce processing and data acquisition time by 47 %. We present technological improvements, policy incentives, and emerging business models in carbon capture and storage (CCS) for a thorough review. Several countries are yet to establish robust regulations for CCS development. We identify the impacts of part-load operation of power plants due to renewable energy sources in the grid. This study combines technical insights, business considerations, and regulatory developments to benefit a broad audience, including policymakers, industries, and academia. Our findings underscore the importance of interdisciplinary collaboration, policy incentives, and investment driven by evolving business models in upscaling PCC technology. Finally, we present recommendations and research priorities for the successful implementation of chemical absorption-based PCC.</div></div>\",\"PeriodicalId\":9387,\"journal\":{\"name\":\"Carbon Capture Science & Technology\",\"volume\":\"16 \",\"pages\":\"Article 100461\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-06-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Carbon Capture Science & Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2772656825001009\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Carbon Capture Science & Technology","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2772656825001009","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

人口增长和经济发展正在增加温室气体排放,因此有必要实施可持续的做法。燃烧后碳捕获(PCC)是一种有效的减排技术。本文综述了化学吸收法是PCC中最先进的方法。它提出了在能源、成本和吸收过程的环境影响方面的挑战和改进。新的溶剂、可再生集成、创新和混合配置正在降低成本,在最近的中试规模测试中,可再生能源低至2 GJ/t CO2。新颖的机器学习算法在预测溶剂筛选、过程建模和优化结果方面显示出很高的准确性。它们显著减少了47%的处理和数据采集时间。我们提出了碳捕获与封存(CCS)的技术改进、政策激励和新兴商业模式,以供全面审查。一些国家还没有为CCS的发展建立强有力的法规。我们确定了电网中可再生能源对发电厂部分负荷运行的影响。这项研究结合了技术见解、商业考虑和监管发展,使包括政策制定者、行业和学术界在内的广大受众受益。我们的研究结果强调了跨学科合作、政策激励和投资的重要性,这些都是由不断发展的商业模式驱动的,以提升PCC技术。最后,我们提出了成功实施基于化学吸收的PCC的建议和研究重点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Advances and future perspectives in post-combustion carbon capture technology using chemical absorption process: A review
Population growth and economic development are increasing greenhouse gas emissions, necessitating the implementation of sustainable practices. Post-combustion carbon capture (PCC) is an effective technology for reducing emissions. This review discusses chemical absorption being the most advanced method in PCC. It presents challenges and improvements in energy, cost, and environmental impacts of absorption processes. New solvents, renewable integration, innovative and hybrid configurations are reducing costs, with regeneration energy as low as 2 GJ/t CO2 in recent pilot-scale tests. Novel machine learning algorithms show high accuracy in predicting outcomes for solvent screening, process modelling, and optimization. They significantly reduce processing and data acquisition time by 47 %. We present technological improvements, policy incentives, and emerging business models in carbon capture and storage (CCS) for a thorough review. Several countries are yet to establish robust regulations for CCS development. We identify the impacts of part-load operation of power plants due to renewable energy sources in the grid. This study combines technical insights, business considerations, and regulatory developments to benefit a broad audience, including policymakers, industries, and academia. Our findings underscore the importance of interdisciplinary collaboration, policy incentives, and investment driven by evolving business models in upscaling PCC technology. Finally, we present recommendations and research priorities for the successful implementation of chemical absorption-based PCC.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信