The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Analysis of Equilibrium-Based TSA Processes for Direct Capture of CO2 from Air
Abstract
Direct capture of CO 2 from air is a concept that, if successfully implemented, could lead to capture of CO 2 from disperse sources. We have developed process models to consider the viability of adsorption-based air capture technologies. Our models focus on using an amino-modified silica adsorbent, TRI-PE-MCM-41, and a structured monolithic contactor unit. We have studied several different temperature swing adsorption processes using the purity of CO 2 and annual product throughput as metrics for comparing process performance. This analysis identifies some of the operational parameters, adsorbent characteristics, and other factors that have a significant effect on the performance of the process. Using the total energy requirement of the process and available sources of energy, such as low pressure steam and electricity, we carry out an economic analysis to obtain a net operating cost for air capture of CO 2 . We identify a process with a daily throughput of ∼1.1 t CO 2 at 88.5% purity using standard shipping container sized air capture units. The total energy required (6745 MJ/t CO 2 ) is dominated by the parasitic losses—sensible heat requirements of the contactor (40%) and the adsorbent (28%) and not by the mechanical energy associated with air flow (∼5%). On the basis of our analysis of factors such as source of electricity, availability of low pressure steam, and geographic location, the net operating cost of capture is estimated to be ∼$100/t CO 2 . These cost estimates do not include capital expenses necessary to construct or maintain the air capture units. Potential strategies for further reducing the energy and monetary cost of these processes are identified. Our analysis supports continued work to establish the technological and economic feasibility of adsorption-based air capture.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Reducing the Cost of CO 2 Capture from Flue Gases Using Pressure Swing Adsorption
Ho, M. T., Allinson, G. W., & Wiley, D. E. (2008) · Industrial & Engineering Chemistry Research · doi:10.1021/ie070831e · Cited by 566
Economic and energetic analysis of capturing CO 2 from ambient air
House, K. Z., Baclig, A. C., Ranjan, M., van Nierop, E. A., Wilcox, J., & Herzog, H. J. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1012253108 · Cited by 524
Stuckert, A. N., & Yang, R. T. (2011) · Environmental Science & Technology · doi:10.1021/es202647a · Cited by 289
Cited by
An overview of current status of carbon dioxide capture and storage technologies
Leung, D. Y. C., Caramanna, G., & Maroto-Valer, M. M. (2014) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2014.07.093 · Cited by 3,198
Direct Capture of CO2 from Ambient Air
Sanz-Pérez, E. S., Murdock, C. R., Didas, S. A., & Jones, C. W. (2016) · Chemical Reviews · doi:10.1021/acs.chemrev.6b00173 · Cited by 2,406
A Review of CO2 Capture by Absorption and Adsorption
Yu, C.-H., Huang, C.-H., & Tan, C.-S. (2012) · Aerosol and Air Quality Research · doi:10.4209/aaqr.2012.05.0132 · Cited by 1,730
Negative emissions—Part 2: Costs, potentials and side effects
Fuss, S., Lamb, W. F., Callaghan, M. W., Hilaire, J., Creutzig, F., Amann, T., Beringer, T., de Oliveira Garcia, W., Hartmann, J., Khanna, T., et al. (2018) · Environmental Research Letters · doi:10.1088/1748-9326/aabf9f · Cited by 1,525
Direct Air Capture of CO2 by Physisorbent Materials
Kumar, A., Madden, D. G., Lusi, M., Chen, K., Daniels, E. A., Curtin, T., Perry, J. J., & Zaworotko, M. J. (2015) · Angewandte Chemie International Edition · doi:10.1002/anie.201506952 · Cited by 588
Metadata
- Authors
- Kulkarni, A. R., & Sholl, D. S.
- Venue
- Industrial & Engineering Chemistry Research
- Publisher
- American Chemical Society (ACS)
- Published
- 2012-06-18
- Volume
- 51
- Issue
- 25
- Pages
- 8631-8645
- ISSN
- 0888-5885 (ISSN-L)
- 1520-5045
- OpenAlex
- W2326670558
- Cited by
- 219
- References
- 3
- FWCI
- 18.62
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Analysis of Equilibrium-Based TSA Processes for Direct Capture of CO2 from Air. https://app.cochat.ai/papers/10.1021/ie300691c
- The paper
- Kulkarni, A. R., & Sholl, D. S. (2012). Analysis of Equilibrium-Based TSA Processes for Direct Capture of CO2 from Air. Industrial & Engineering Chemistry Research. https://doi.org/10.1021/ie300691c
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.