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Cited by 264

The DOI matches its Crossref record; 137 of the 137 references it cites were found in a registry or an index.

Chemical Looping Combustion: Status and Development Challenges

Lyngfelt, Anders·2020·Energy & Fuels

Abstract

Because the CO 2 capture is inherent in chemical looping combustion (CLC), thus ideally avoiding costly gas separation, this process has potential for uniquely low costs of CO 2 capture. The review reports on operational experiences with different oxygen carriers in CLC pilot operation. Further, the application to solid fuels is discussed in terms of technology challenges, routes for upscaling to commercial size, downstream gas treatment, options for achieving adequate circulation, and the use of biofuels in CLC to reach negative emissions. It is concluded that the necessary elements for a scale-up are at hand. Oxygen carrier materials of low cost have been tested in extended operation and found to have reasonable performance with respect to reactivity and lifetime. Designs for large-scale units have been performed, indicating that the process is technically realistic and should have a low cost of CO 2 capture. A scale-up strategy to minimize risk and costs has been suggested.

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Crossref · 10.1021/acs.energyfuels.0c01454

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Metadata

Authors
Lyngfelt, A.
Venue
Energy & Fuels
Published
2020-06-25
Volume
34
Issue
8
Pages
9077-9093
ISSN
  • 0887-0624 (ISSN-L)
  • 1520-5029
OpenAlex
W3037802995
Cited by
264
References
137
FWCI
10.03
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Chemical Looping Combustion: Status and Development Challenges. https://app.cochat.ai/papers/10.1021/acs.energyfuels.0c01454
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Lyngfelt, A. (2020). Chemical Looping Combustion: Status and Development Challenges. Energy & Fuels. https://doi.org/10.1021/acs.energyfuels.0c01454

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.