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 accessAbstract
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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Cited by
United Nations Environment Programme (2023) · United Nations Environment Programme eBooks · doi:10.59117/20.500.11822/43922 · Cited by 322
Carbon dioxide capture with zeotype materials
Fu, D., & Davis, M. E. (2022) · Chemical Society Reviews · doi:10.1039/d2cs00508e · Cited by 284
Flexibility options in a 100% renewable grid for Australia
Li, M., Keck, F., Lenzen, M., & Ximenes, F. (2024) · Materials Today Sustainability · doi:10.1016/j.mtsust.2024.100736 · Cited by 7
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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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.