An inter-model assessment of the role of direct air capture in deep mitigation pathways
dc.contributor.author | Realmonte, Giulia | |
dc.contributor.author | Drouet, Laurent | |
dc.contributor.author | Gambhir, Ajay | |
dc.contributor.author | Glynn, James | |
dc.contributor.author | Hawkes, Adam | |
dc.contributor.author | Köberle, Alexandre C. | |
dc.contributor.author | Tavoni, Massimo | |
dc.contributor.funder | Science Foundation Ireland | en |
dc.contributor.funder | National Natural Science Foundation of China | en |
dc.date.accessioned | 2019-09-23T09:45:04Z | |
dc.date.available | 2019-09-23T09:45:04Z | |
dc.date.issued | 2019-07-22 | |
dc.description.abstract | The feasibility of large-scale biological CO2 removal to achieve stringent climate targets remains unclear. Direct Air Carbon Capture and Storage (DACCS) offers an alternative negative emissions technology (NET) option. Here we conduct the first inter-model comparison on the role of DACCS in 1.5 and 2 °C scenarios, under a variety of techno-economic assumptions. Deploying DACCS significantly reduces mitigation costs, and it complements rather than substitutes other NETs. The key factor limiting DACCS deployment is the rate at which it can be scaled up. Our scenarios’ average DACCS scale-up rates of 1.5 GtCO2/yr would require considerable sorbent production and up to 300 EJ/yr of energy input by 2100. The risk of assuming that DACCS can be deployed at scale, and finding it to be subsequently unavailable, leads to a global temperature overshoot of up to 0.8 °C. DACCS should therefore be developed and deployed alongside, rather than instead of, other mitigation options. | en |
dc.description.sponsorship | Science Foundation Ireland (SFI-NSFC Partnership Programme Grant Number 17/NSFC/5181); National Natural Science Foundation of China (SFI-NSFC Partnership Programme Grant Number 17/NSFC/5181) | en |
dc.description.status | Peer reviewed | en |
dc.description.version | Published Version | en |
dc.format.mimetype | application/pdf | en |
dc.identifier.articleid | 3277 | en |
dc.identifier.citation | Realmonte, G., Drouet, L., Gambhir, A., Glynn, J., Hawkes, A., Köberle, A. C. and Tavoni, M. (2019) 'An inter-model assessment of the role of direct air capture in deep mitigation pathways', Nature Communications, 10(1), 3277. (12pp.) DOI: 10.1038/s41467-019-10842-5 | en |
dc.identifier.doi | 10.1038/s41467-019-10842-5 | en |
dc.identifier.eissn | 2041-1723 | |
dc.identifier.endpage | 12 | en |
dc.identifier.issued | 1 | en |
dc.identifier.journaltitle | Nature Communications | en |
dc.identifier.startpage | 1 | en |
dc.identifier.uri | https://hdl.handle.net/10468/8589 | |
dc.identifier.volume | 10 | en |
dc.language.iso | en | en |
dc.publisher | Springer Nature Publishing AG | en |
dc.relation.uri | https://www.nature.com/articles/s41467-019-10842-5 | |
dc.rights | ©The Author(s) 2019. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. | en |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | en |
dc.subject | Inter-model assessment | en |
dc.subject | Direct air capture | en |
dc.subject | Deep mitigation pathways | en |
dc.subject | Direct Air Carbon Capture and Storage (DACCS) | en |
dc.title | An inter-model assessment of the role of direct air capture in deep mitigation pathways | en |
dc.type | Article (peer-reviewed) | en |
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