Country-level assessment of the deployment potential of greenhouse gas removal technologies.

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dc.contributor.advisorClough, Peter T.
dc.contributor.advisorNabavi, Sayed Ali
dc.contributor.advisorManovic, Vasilije
dc.contributor.authorAsibor, Jude Odianosen
dc.date.accessioned2024-04-17T08:38:33Z
dc.date.available2024-04-17T08:38:33Z
dc.date.issued2023-07
dc.descriptionNabavi, Sayed Ali - Associate Supervisor Manovic, Vasilije - Associate Supervisoren_UK
dc.description.abstractThe deployment of greenhouse gas removal (GGR) technologies has been identified as an indispensable option in meeting the warming target of 1.5 °C by the end of the century. Despite the importance of this pathway, the Nationally Determined Contributions (NDCs) of countries indicates a low intent to deploy these technologies. Among the major factors responsible for this low level of inclusion is the lack of robust country-level bio-geophysical and techno-economic feasibility assessments to ascertain national GGR deployment potential. Herein lies the challenge that this thesis aimed to address. This study investigated the potential of 182 countries to deploy five of the most promising GGR technologies, including forestation, enhanced weathering, direct air carbon capture and storage, bioenergy with carbon capture and storage, and biochar. A comparative literature-based assessment was carried out to identify and rank the major factors required for optimum performance of these GGR methods. Based on the bio-geophysical and techno-economic characteristics, Machine Learning (ML) was applied to identify the range of GGR technologies that respective countries can suitably and effectively deploy. ML models were also developed for predictive locational resource mapping of these technologies. Furthermore, the extent of carbon dioxide removable by 2100 via these technologies for each country (national potential) was evaluated using a Multi Criteria Decision Analysis approach. An assessment of domestic and regional sufficiency was also carried out to provide an evidence base for international collaboration. Priority regions for the deployment of these GGR technologies were identified, with Latin America and Sub-Saharan Africa regions found to have surplus potentials, and thus, expected to serve as a major hub to support other regions of the world. While the obtained results indicate the need for regional cooperation among countries, it also provides useful evidence on the need for countries to include and prioritise GGR technologies in their revised NDCs.en_UK
dc.description.coursenamePhD in Energy and Poweren_UK
dc.description.sponsorshipResearch Sponsor - Petroleum Technology Development Fund (PTDF), Nigeria. Doctoral study scholarship, award number: PTDF/ED/OSS/PHD/JOA/077/19.en_UK
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/21204
dc.language.isoen_UKen_UK
dc.publisherCranfield Universityen_UK
dc.publisher.departmentSWEEen_UK
dc.rights© Cranfield University, 2023. All rights reserved. No part of this publication may be reproduced without the written permission of the copyright holder.en_UK
dc.subjectNegative emission technologiesen_UK
dc.subjectBECCSen_UK
dc.subjectclimate change mitigationen_UK
dc.subjectmachine learningen_UK
dc.subjectcarbon capture and storageen_UK
dc.subjectartificial neural networken_UK
dc.titleCountry-level assessment of the deployment potential of greenhouse gas removal technologies.en_UK
dc.typeThesis or dissertationen_UK
dc.type.qualificationlevelDoctoralen_UK
dc.type.qualificationnamePhDen_UK

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