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Cited by 162

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Impact of carbon dioxide removal technologies on deep decarbonization of the electric power sector

Open access
Bistline, John E. T., Blanford, Geoffrey J.·2021·Nature Communications

Abstract

Carbon dioxide removal technologies, such as bioenergy with carbon capture and direct air capture, are valuable for stringent climate targets. Previous work has examined implications of carbon removal, primarily bioenergy-based technologies using integrated assessment models, but not investigated the effects of a portfolio of removal options on power systems in detail. Here, we explore impacts of carbon removal technologies on electric sector investments, costs, and emissions using a detailed capacity planning and dispatch model with hourly resolution. We show that adding carbon removal to a mix of low-carbon generation technologies lowers the costs of deep decarbonization. Changes to system costs and investments from including carbon removal are larger as policy ambition increases, reducing the dependence on technologies like advanced nuclear and long-duration storage. Bioenergy with carbon capture is selected for net-zero electric sector emissions targets, but direct air capture deployment increases as biomass supply costs rise.

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Metadata

Authors
Bistline, J. E. T., & Blanford, G. J.
Venue
Nature Communications
Published
2021-06-17
Volume
12
Issue
1
Pages
3732-3732
ISSN
2041-1723 (ISSN-L)
OpenAlex
W3168518811
Cited by
162
References
10
FWCI
7.71
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Impact of carbon dioxide removal technologies on deep decarbonization of the electric power sector. https://app.cochat.ai/papers/10.1038/s41467-021-23554-6
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Bistline, J. E. T., & Blanford, G. J. (2021). Impact of carbon dioxide removal technologies on deep decarbonization of the electric power sector. Nature Communications. https://doi.org/10.1038/s41467-021-23554-6

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.