Volltext-Downloads (blau) und Frontdoor-Views (grau)

Facing the uncertainty of CO2 storage capacity in China by developing different storage scenarios

  • China is very active in the research and development of CO2 capture and storage technologies (CCS). However, existing estimates for CO2 storage capacity are very uncertain. This uncertainty is due to limited geological knowledge, a lack of large-scale research on CO2 injection, and different assessment approaches and parameter settings. Hence storage scenarios represent a method that can be used by policy makers to demonstrate the range of possible storage capacity developments, to help interpret uncertain results and to identify the limitations of existing assessments. In this paper, three storage scenarios are developed for China by evaluating China-wide studies supplemented with more detailed site- and basin-specific assessments. It isChina is very active in the research and development of CO2 capture and storage technologies (CCS). However, existing estimates for CO2 storage capacity are very uncertain. This uncertainty is due to limited geological knowledge, a lack of large-scale research on CO2 injection, and different assessment approaches and parameter settings. Hence storage scenarios represent a method that can be used by policy makers to demonstrate the range of possible storage capacity developments, to help interpret uncertain results and to identify the limitations of existing assessments. In this paper, three storage scenarios are developed for China by evaluating China-wide studies supplemented with more detailed site- and basin-specific assessments. It is estimated that the greatest storage potential can be found in deep saline aquifers. Oil and gas fields may also be used. Coal seams are only included in the highest storage scenario. In total, the scenarios presented demonstrate that China has an effective storage capacity of between 65 and 1551 Gt of CO2. Furthermore, the authors emphasise a need for action to harmonise storage capacity assessment approaches due to the uncertainties involved in the capacity assessments analysed in this study.show moreshow less

Download full text files

Export metadata

Additional Services

Search Google Scholar    

Statistics

frontdoor_oas
Metadaten
Document Type:Peer-Reviewed Article
Author:Samuel Höller, Peter ViebahnORCiDGND
URN (citable link):https://nbn-resolving.org/urn:nbn:de:bsz:wup4-opus-61034
DOI (citable link):https://doi.org/10.1016/j.enpol.2015.10.043
Year of Publication:2016
Language:English
Source Title (English):Energy policy
Volume:89
First Page:64
Last Page:73
Divisions:Zukünftige Energie- und Industriesysteme
Dewey Decimal Classification:600 Technik, Medizin, angewandte Wissenschaften
OpenAIRE:OpenAIRE
Licence:License LogoIn Copyright - Urheberrechtlich geschützt