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A new relevant membrane application: CO2 direct air capture (DAC)

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Castro-Muñoz, Roberto, Zamidi Ahmad, Mohd, Malankowska, Magdalena, Coronas, Joaquín·2022·Chemical Engineering Journal
DOI 10.1016/j.cej.2022.137047
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Abstract

Since carbon dioxide (CO2) is the primary greenhouse gas emitted into the atmosphere due to human activities, strong research efforts have been developed towards capturing and decreasing its production. Unfortunately, specific processes and activities make it impossible to avoid CO2 emissions. Among the different strategies scientists propose for CO2 reduction, direct CO2 capture from the atmosphere, also known as direct air capture (DAC), represents a promising alternative in which sorbents have been mainly used. Recently, gas separation membranes have also been speculated to carry out such a separation, thanks to their smaller footprint and simpler setup and operation; however, their application remains a proposition in the field. This paper gives a perspective of the ongoing research and attempts of DAC applications via membrane separation and introduces the main membrane materials and types used for CO2 separation. Finally, the process considerations for DAC using membranes are stated to guide the new researchers in the field.

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Metadata

Authors
Castro-Muñoz, R., Zamidi Ahmad, M., Malankowska, M., & Coronas, J.
Venue
Chemical Engineering Journal
Publisher
Elsevier BV
Published
2022-10
Volume
446
Pages
137047
ISSN
1385-8947 (ISSN-L)
DOI
10.1016/j.cej.2022.137047
OpenAlex
W4280554028
Cited by
225
References
6
FWCI
17.55
Type
journal article
Language
en
Open access
hybrid
Licence

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CoChat. (2026). Citation check: A new relevant membrane application: CO2 direct air capture (DAC). https://app.cochat.ai/papers/10.1016/j.cej.2022.137047
The paper
Castro-Muñoz, R., Zamidi Ahmad, M., Malankowska, M., & Coronas, J. (2022). A new relevant membrane application: CO2 direct air capture (DAC). Chemical Engineering Journal. https://doi.org/10.1016/j.cej.2022.137047

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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