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Atmosphere
Special Issues
Advances in CO2 Capture and Absorption
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Advances in CO2 Capture and Absorption

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Air Pollution Control".

Deadline for manuscript submissions: 28 August 2024 | Viewed by 2302

Special Issue Editor

Dr. Dezhong Yang

E-Mail Website
Guest Editor
School of Science, China University of Geosciences, Beijing 100083, China
Interests: ionic liquids; deep eutectic solvents; carbon capture; energy storage
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The unexpected amount of CO2 emissions caused by anthropogenic activities is the main reason behind global warming. The growing severity of climate change signifies that more efforts are needed in order to reduce CO2 release into atmosphere. The anthropogenic CO2 emissions mainly come from the combustion of fossil fuels for power generation. Carbon capture, utilization and storage (CCUS) is considered an effective technology to curb CO2 emissions in industry. Carbon capture is a crucial sector of CCUS technology and developing an efficient carbon capture method is the primary challenge faced by CCUS. The most used CO2 absorption method in the industry is the alkanolamine-based scrubbing process. However, the alkanolamine-based scrubbing process suffers from several inherent drawbacks, such as the high energy cost of regeneration and solvent degradations. Therefore, it is highly desirable to develop and create new methods for efficient CO2 capture and absorption.

The aim of this Special Issue, entitled “Advances in CO2 Capture and Absorption”, is to showcase the recent research results related to efficient carbon capture technology. In this Special Issue, experimental and theoretical investigations that explore economically and ecologically methods related to carbon capture are welcome. Submissions to this Special Issue might include, but are not limited to, the following topics: the capture of carbon dioxide using liquid solvents; the capture of carbon dioxide using solid materials; the separation of carbon dioxide via membrane; carbon storage; and carbon utilization.

Dr. Dezhong Yang
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Atmosphere is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • CO2 capture
  • carbon storage
  • CCUS
  • solvents
  • absorbents
  • CO2 absorption
  • gas separation

Published Papers (3 papers)

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Research

16 pages, 7354 KiB  
Article
XCO2 Super-Resolution Reconstruction Based on Spatial Extreme Random Trees
by Xuwen Li, Sheng Jiang, Xiangyuan Wang, Tiantian Wang, Su Zhang, Jinjin Guo and Donglai Jiao
Atmosphere 2024, 15(4), 440; https://doi.org/10.3390/atmos15040440 - 02 Apr 2024
Viewed by 618
Abstract
Carbon dioxide (CO2) is currently the most harmful greenhouse gas in the atmosphere. Obtaining long-term, high-resolution atmospheric column CO2 concentration (XCO2) datasets is of great practical significance for mitigating the greenhouse effect, identifying and controlling carbon emission sources, [...] Read more.
Carbon dioxide (CO2) is currently the most harmful greenhouse gas in the atmosphere. Obtaining long-term, high-resolution atmospheric column CO2 concentration (XCO2) datasets is of great practical significance for mitigating the greenhouse effect, identifying and controlling carbon emission sources, and achieving carbon cycle management. However, mainstream satellite observations provide XCO2 datasets with coarse spatial resolution, which is insufficient to support the needs of higher-precision research. To address this gap, in this study, we integrate spatial information with the extreme random trees model and develop a new machine learning model called spatial extreme random trees (SExtraTrees) to reconstruct a 1 km spatial resolution XCO2 dataset for China from 2016 to 2020. The results indicate that the predictive ability of spatial extreme random trees is more stable and has higher fitting accuracy compared to other methods. Overall, XCO2 in China shows an increasing trend year by year, with the spatial distribution revealing significantly higher XCO2 levels in eastern coastal regions compared to western inland areas. The contributions of this study are primarily in the following areas: (1) Considering the spatial heterogeneity of XCO2 and combining spatial features with the advantages of machine learning, we construct the spatial extreme random trees model, which is verified to have high predictive accuracy. (2) Using the spatial extreme random trees model, we reconstruct high-resolution XCO2 datasets for China from 2016 to 2020, providing data support for carbon emission reduction and related decision making. (3) Based on the generated dataset, we analyze the spatiotemporal distribution patterns of XCO2 in China, thereby improving emission reduction policies and sustainable development measures. Full article
(This article belongs to the Special Issue Advances in CO2 Capture and Absorption)
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20 pages, 7354 KiB  
Article
The Characterization of Biodiversity and Soil Emission Activity of the “Ladoga” Carbon-Monitoring Site
by Evgeny Abakumov, Timur Nizamutdinov, Darya Zhemchueva, Azamat Suleymanov, Evgeny Shevchenko, Elena Koptseva, Anastasiia Kimeklis, Vyacheslav Polyakov, Evgenia Novikova, Grigory Gladkov and Evgeny Andronov
Atmosphere 2024, 15(4), 420; https://doi.org/10.3390/atmos15040420 - 28 Mar 2024
Viewed by 573
Abstract
The global climate crisis forces mankind to develop carbon storage technologies. “Ladoga” carbon monitoring site is part of the Russian climate project “Carbon Supersites”, which aims to develop methods and technologies to control the balance of greenhouse gases in various ecosystems. This article [...] Read more.
The global climate crisis forces mankind to develop carbon storage technologies. “Ladoga” carbon monitoring site is part of the Russian climate project “Carbon Supersites”, which aims to develop methods and technologies to control the balance of greenhouse gases in various ecosystems. This article shows the condition of soil and vegetation cover of the carbon polygon “Ladoga” using the example of a typical southern taiga ecosystem in the Leningrad region (Russia). It is revealed that soils here are significantly disturbed as a result of agrogenic impact, and the vegetation cover changes under the influence of anthropogenic activity. It has been found that a considerable amount of carbon is deposited in the soils of the carbon polygon; its significant part is accumulated in peat soils (60.0 ± 19.8 kg × m−2 for 0–100 cm layer). In agrogenically disturbed and pristine soils, carbon stocks are equal to 12.8 ± 2.9 kg × m−2 and 8.3 ± 1.3 kg × m−2 in the 0–100 cm layer, respectively. Stocks of potentially mineralizable organic matter (0–10 cm) in peat soils are 0.48 ± 0.01 kg × m−2; in pristine soils, it is 0.58 ± 0.06 kg × m−2. Peat soils are characterized by a higher intensity of carbon mineralization 9.2 ± 0.1 mg × 100 g−1 × day−1 with greater stability. Carbon in pristine soils is mineralized with a lower rate—2.5 ± 0.2 mg × 100 g−1 × day−1. The study of microbial diversity of soils revealed that the dominant phyla of microorganisms are Actinobacteria, Bacteroidetes, and Proteobacteria; however, methane-producing Archaea—Euryarchaeota—were found in peat soils, indicating their potentially greater emission activity. The results of this work will be useful for decision makers and can be used as a reference for estimating the carbon balance of the Leningrad region and southern taiga boreal ecosystems of the Karelian Isthmus. Full article
(This article belongs to the Special Issue Advances in CO2 Capture and Absorption)
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12 pages, 2923 KiB  
Communication
CO2 Absorption by Solvents Consisting of TMG Protic Ionic Liquids and Ethylene Glycol: The Influence of Hydrogen Bonds
by Bohao Lu, Yixing Zeng, Mingzhe Chen, Shaoze Zhang and Dezhong Yang
Atmosphere 2024, 15(2), 229; https://doi.org/10.3390/atmos15020229 - 14 Feb 2024
Viewed by 781
Abstract
Herein, the absorption of CO2 by the TMG-based (TMG: 1,1,3,3-tetramethylguanidine) ionic liquids (ILs) and the absorbents formed by TMG ILs and ethylene glycol (EG) is studied. The TMG-based ILs used are formed by TMG and 4-fluorophenol (4-F-PhOH) or carvacrol (Car), and their [...] Read more.
Herein, the absorption of CO2 by the TMG-based (TMG: 1,1,3,3-tetramethylguanidine) ionic liquids (ILs) and the absorbents formed by TMG ILs and ethylene glycol (EG) is studied. The TMG-based ILs used are formed by TMG and 4-fluorophenol (4-F-PhOH) or carvacrol (Car), and their viscosities are low at 25 °C. The CO2 uptake capacities of [TMGH][4-F-PhO] and [TMGH][Car] are low (~0.09 mol CO2/mol IL) at 25 °C and 1.0 atm. However, the mixtures [TMGH][4-F-PhO]-EG and [TMGH][Car]-EG show much higher capacities (~1.0 mol CO2/mol IL) than those of parent ILs, which is unexpected because of the low CO2 capacity of EG (0.01 mol CO2/mol EG) in the same conditions. NMR spectra and theoretical calculations are used to determine the reason for these unexpected absorption behaviors. The spectra and theoretical results show that the strong hydrogen bonds between the [TMGH]+ cation and the phenolate anions make the used TMG-based ILs unreactive to CO2, resulting in the low CO2 capacity. In the Ils-EG mixtures, the hydrogen bonds formed between EG and phenolate anions can weaken the [TMGH]+–anion hydrogen bond strength, so ILs-EG mixtures can react with CO2 and present high CO2 capacities. Full article
(This article belongs to the Special Issue Advances in CO2 Capture and Absorption)
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