The DOI matches its Crossref record.
Energy minimization of MEA-based CO2 capture process
Open accessAbstract
CO2 capture processes using aqueous monoethanolamine (MEA) require significant energy expenditure. There are various possible structural modifications which can be implemented to reduce these energy requirements and enhance energy efficiency. However, as the optimal configuration may contain a combination of different modifications a systematic approach is necessary to consider all possibilities. In this study a superstructure including the conventional amine-based CO2 capture configuration and four different types of structural modifications is constructed in the process simulator UniSim®. Optimization of this superstructure reveals the configuration and operating conditions giving the minimum energy costs, systematically and simultaneously considering all of the possible modifications included. This methodology is applied to a CO2 capture case study to illustrate how the proposed modeling and optimization framework can effectively investigate design options available for improving energy efficiency.
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
Cited by
Nonaqueous amine-based absorbents for energy efficient CO2 capture
Guo, H., Li, C., Shi, X., Li, H., & Shen, S. (2019) · Applied Energy · doi:10.1016/j.apenergy.2019.02.019 · Cited by 294
Zhao, B., Liu, F., Cui, Z., Liu, C., Yue, H., Tang, S., Liu, Y., Lu, H., & Liang, B. (2017) · Applied Energy · doi:10.1016/j.apenergy.2016.11.009 · Cited by 266
Carbon Capture, Utilization and Storage (CCUS)
Yan, J., & Zhang, Z. (2019) · Applied Energy · doi:10.1016/j.apenergy.2018.11.019 · Cited by 256
Dickson, R., Akhtar, M. S., Abbas, A., Park, E. D., & Liu, J. (2022) · Green Chemistry · doi:10.1039/d2gc02079c · Cited by 62
Shen, F., Wang, Y., Li, L., Zhang, K., Smith, R. L., & Qi, X. (2018) · Chemical Engineering Communications · doi:10.1080/00986445.2017.1367671 · Cited by 65
Metadata
- Authors
- Oh, S.-Y., Binns, M., Cho, H., & Kim, J.-K.
- Venue
- Applied Energy
- Publisher
- Elsevier BV
- Published
- 2016-05
- Volume
- 169
- Pages
- 353-362
- ISSN
- 0306-2619 (ISSN-L)
- OpenAlex
- W2281794680
- Cited by
- 310
- References
- 0
- FWCI
- 22.43
- Type
- journal article
- Language
- en
- Open access
- green
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: Energy minimization of MEA-based CO2 capture process. https://app.cochat.ai/papers/10.1016/j.apenergy.2016.02.046
- The paper
- Oh, S.-Y., Binns, M., Cho, H., & Kim, J.-K. (2016). Energy minimization of MEA-based CO2 capture process. Applied Energy. https://doi.org/10.1016/j.apenergy.2016.02.046
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.
