Sulfur dioxide absorption by novel green solvents of deep eutectic solvents: Modeling screening.

Chemosphere Pub Date : 2024-10-01 Epub Date: 2024-10-09 DOI:10.1016/j.chemosphere.2024.143512
Atefe Rajabi, Reza Haghbakhsh, Amir Goshadrou
{"title":"Sulfur dioxide absorption by novel green solvents of deep eutectic solvents: Modeling screening.","authors":"Atefe Rajabi, Reza Haghbakhsh, Amir Goshadrou","doi":"10.1016/j.chemosphere.2024.143512","DOIUrl":null,"url":null,"abstract":"<p><p>Sulfur dioxide (SO<sub>2</sub>), produced mainly from the combustion of coal, is the most important cause of acidic rain, skin diseases, and environmental issues. To overcome the environmental problems, SO<sub>2</sub> must be captured on an industrial scale before it is released into the air. In chemical industries, organic solvents are used for partial absorption of SO<sub>2</sub>. However, those organic solvents have negative environmental effects. Thus, proposing environmentally friendly and green solvents for SO<sub>2</sub> absorption is vital for industries. Recently, increased attention has been paid to capturing SO<sub>2</sub> using Deep Eutectic Solvents (DESs) as the most recently introduced category of green solvents. This study performed a comprehensive screening study on the investigation of the performance of various simple and complicated models for SO<sub>2</sub> solubilities in a wide range of different nature DESs. For this purpose, the most updated and largest SO<sub>2</sub> solubility data bank in DESs involving 976 data points for 63 different nature DESs over wide temperature and pressure ranges has been gathered from open literature. For model screening, for the physical absorption models, the performances of SRK and CPA as the simple cubic and complicated sophisticated equations of state, NRTL and UNIQUAC as the well-known activity coefficient models, and for the chemical absorption models, RETM were investigated and compared. For physical absorption models, coupling an equation of state with the UNIQUAC activity coefficient model i.e. CPA-UNIQUAC, SRK-UNIQUAC, and also using simple SRK-SRK models led to the best performances. Compared to all investigated models, RETM as the chemical absorption model showed the best performance with the AARD% value of 12.95. This shows the importance of considering the chemical absorption mechanism for SO<sub>2</sub> absorption by DESs. Finally, general guidelines for using different modeling approaches were proposed to be considered by the researchers.</p>","PeriodicalId":93933,"journal":{"name":"Chemosphere","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chemosphere","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.chemosphere.2024.143512","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/10/9 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Sulfur dioxide (SO2), produced mainly from the combustion of coal, is the most important cause of acidic rain, skin diseases, and environmental issues. To overcome the environmental problems, SO2 must be captured on an industrial scale before it is released into the air. In chemical industries, organic solvents are used for partial absorption of SO2. However, those organic solvents have negative environmental effects. Thus, proposing environmentally friendly and green solvents for SO2 absorption is vital for industries. Recently, increased attention has been paid to capturing SO2 using Deep Eutectic Solvents (DESs) as the most recently introduced category of green solvents. This study performed a comprehensive screening study on the investigation of the performance of various simple and complicated models for SO2 solubilities in a wide range of different nature DESs. For this purpose, the most updated and largest SO2 solubility data bank in DESs involving 976 data points for 63 different nature DESs over wide temperature and pressure ranges has been gathered from open literature. For model screening, for the physical absorption models, the performances of SRK and CPA as the simple cubic and complicated sophisticated equations of state, NRTL and UNIQUAC as the well-known activity coefficient models, and for the chemical absorption models, RETM were investigated and compared. For physical absorption models, coupling an equation of state with the UNIQUAC activity coefficient model i.e. CPA-UNIQUAC, SRK-UNIQUAC, and also using simple SRK-SRK models led to the best performances. Compared to all investigated models, RETM as the chemical absorption model showed the best performance with the AARD% value of 12.95. This shows the importance of considering the chemical absorption mechanism for SO2 absorption by DESs. Finally, general guidelines for using different modeling approaches were proposed to be considered by the researchers.

深共晶溶剂的新型绿色溶剂对二氧化硫的吸收:模型筛选。
二氧化硫(SO2)主要由燃煤产生,是造成酸雨、皮肤病和环境问题的最主要原因。为了解决环境问题,必须在二氧化硫释放到空气中之前,在工业规模上对其进行捕集。在化学工业中,有机溶剂被用于部分吸收二氧化硫。然而,这些有机溶剂对环境有负面影响。因此,提出用于吸收二氧化硫的环境友好型绿色溶剂对工业来说至关重要。最近,人们越来越关注使用深共晶溶剂(DES)来捕获二氧化硫,这是最近推出的一类绿色溶剂。本研究对各种简单和复杂的二氧化硫溶解度模型在各种不同性质的 DESs 中的表现进行了全面的筛选研究。为此,我们从公开文献中收集了最新、最大的二氧化硫在 DESs 中的溶解度数据库,其中包括 63 种不同性质 DESs 在宽温度和压力范围内的 976 个数据点。在模型筛选方面,对于物理吸收模型,研究并比较了 SRK 和 CPA(简单立方和复杂精密状态方程)、NRTL 和 UNIQUAC(著名的活性系数模型)以及 RETM(化学吸收模型)的性能。就物理吸收模型而言,将状态方程与 UNIQUAC 活性系数模型(即 CPA-UNIQUAC、SRK-UNIQUAC)耦合,以及使用简单的 SRK-SRK 模型可获得最佳性能。与所有研究过的模型相比,作为化学吸收模型的 RETM 表现最佳,其 AARD% 值为 12.95。这说明了考虑化学吸收机制对于 DES 吸收二氧化硫的重要性。最后,提出了使用不同建模方法的一般准则,供研究人员参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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:481959085
Book学术官方微信