Journal
ENERGY & ENVIRONMENTAL SCIENCE
Volume 13, Issue 6, Pages 1561-1567Publisher
ROYAL SOC CHEMISTRY
DOI: 10.1039/d0ee00674b
Keywords
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Funding
- ACT ELEGANCY from DETEC (CH) [271498]
- BMWi (DE)
- RVO (NL)
- Gassnova (NO)
- BEIS (UK)
- Gassco
- Equinor
- Total
- European Commission under the Horizon 2020 programme, ACT [691712]
- UK CCS Research Centre 2017 EPSRC Grant [EP/P026214/1]
- EPSRC [EP/P026214/1] Funding Source: UKRI
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Integrated assessment models have identified carbon capture and storage (CCS) as an important technology for limiting climate change. To achieve 2 degrees C climate targets, many scenarios require tens of gigatons of CO(2)stored per year by mid-century. These scenarios are often unconstrained by growth rates, and uncertainty in global geologic storage assessments limits resource-based constraints. Here we show how logistic growth models, a common tool in resource assessment, provide a mathematical framework for stakeholders to monitor short-term CCS deployment progress and long-term resource requirements in the context of climate change mitigation targets. Growth rate analysis, constrained by historic commercial CO(2)storage rates, indicates sufficient growth to achieve several of the 2100 storage targets identified in the assessment reports of the Intergovernmental Panel on Climate Change. A maximum global discovered storage capacity of approximately 2700 Gt is needed to meet the most aggressive targets, with this ceiling growing if CCS deployment is delayed.
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