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Cited by 425

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Fluidized Bed Combustion Systems Integrating CO2Capture with CaO

Open access
Abanades, J. Carlos, Anthony, Edward J., Wang, Jinsheng, Oakey, John E.·2005·Environmental Science & Technology

Abstract

Capturing CO2 from large-scale power generation combustion systems such as fluidized bed combustors (FBCs) may become important in a CO2-constrained world. Using previous experience in capturing pollutants such as SO2 in these systems, we discuss a range of options that incorporate capture of CO2 with CaO in FBC systems. Natural limestones emerge from this study as suitable high-temperature sorbents for these systems because of their low price and availability. This is despite their limited performance as regenerable sorbents. We have found a range of process options that allow the sorbent utilization to maintain a given level of CO2 separation efficiency, appropriate operating conditions, and sufficiently high power generation efficiencies. A set of reference case examples has been chosen to discuss the critical scientific and technical issues of sorbent performance and reactor design for these novel CO2 capture concepts.

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Metadata

Authors
Abanades, J. C., Anthony, E. J., Wang, J., & Oakey, J. E.
Venue
Environmental Science & Technology
Published
2005-03-02
Volume
39
Issue
8
Pages
2861-2866
ISSN
  • 0013-936X (ISSN-L)
  • 1520-5851
OpenAlex
W2073878511
Cited by
425
References
0
FWCI
32.66
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Fluidized Bed Combustion Systems Integrating CO2Capture with CaO. https://app.cochat.ai/papers/10.1021/es0496221
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Abanades, J. C., Anthony, E. J., Wang, J., & Oakey, J. E. (2005). Fluidized Bed Combustion Systems Integrating CO2Capture with CaO. Environmental Science & Technology. https://doi.org/10.1021/es0496221

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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.