Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 195

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

CO2 capture from dry flue gas by means of VPSA, TSA and TVSA

Jiang, Nan, Shen, Yuanhui, Liu, Bing, Zhang, Donghui, Tang, Zhongli, Li, Guobing, Fu, Bo·2020·Journal of CO2 Utilization

Abstract

Abstract A systematic study of adsorption processes at lab-scale for CO2 capture from dry flue gas was presented to attain the specification of CCS (95% CO2 purity, 90% CO2 recovery) in this work. With zeolite 13X as adsorbent, two-stage vacuum swing adsorption (VPSA), temperature swing adsorption (TSA), and temperature/vacuum swing adsorption (TVSA) were designed, simulated, and systematically compared at lab-scale. Furthermore, key operating parameters including feed flowrate, purge to feed ratio, vacuum level, time of recycle step were investigated to obtain the optimized process performance. The results showed that CO2 products of all three processes could reach the specification of CCS. VPSA was capable to achieve a great advantage in productivity and energy consumption with the value of 3.8 molCO2/kgads/h and 0.79 MJ/kgCO2 respectively, and it seemed to be the most effective CO2 capture process compared with TSA and TVSA. TVSA performed best in CO2 purity and recovery with the value of 97.27% and 97.66% respectively, meanwhile the productivity was up to 1.63 mol/kgads/h with the energy consumption of 3.22 MJ/kgCO2. Moreover, it is worth noting that TVSA would be an energy saving adsorption process that can produce CO2 product with high CO2 purity and CO2 recovery if a suitable low-grade waste heat source was available. Nevertheless, TSA was suggested to be an inefficient way for CO2 capture due to its poor performance of productivity and energy consumption, as well as no advantage in terms of CO2 purity and recovery.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.jcou.2019.09.012

Cites

2 of 2 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 2 references

Cited by

See all 195

Metadata

Authors
Jiang, N., Shen, Y., Liu, B., Zhang, D., Tang, Z., Li, G., & Fu, B.
Venue
Journal of CO2 Utilization
Publisher
Elsevier BV
Published
2020-01
Volume
35
Pages
153-168
ISSN
2212-9820 (ISSN-L)
OpenAlex
W2978521883
Cited by
195
References
2
FWCI
7.12
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: CO2 capture from dry flue gas by means of VPSA, TSA and TVSA. https://app.cochat.ai/papers/10.1016/j.jcou.2019.09.012
The paper
Jiang, N., Shen, Y., Liu, B., Zhang, D., Tang, Z., Li, G., & Fu, B. (2020). CO2 capture from dry flue gas by means of VPSA, TSA and TVSA. Journal of CO2 Utilization. https://doi.org/10.1016/j.jcou.2019.09.012

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.