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Strategies for Financing Large-scale Carbon Capture and Storage Power Plants in China

Authors :
Liang, X.
Liu, H.
Reiner, D.
Source :
Liang, X, Liu, H & Reiner, D 2014 ' Strategies for Financing Large-scale Carbon Capture and Storage Power Plants in China ' . < http://www.eprg.group.cam.ac.uk/wp-content/uploads/2014/07/1410-PDF.pdf >
Publication Year :
2014

Abstract

Building on previous stakeholder consultations from 2006 to 2010, we conduct a financial analysis for a generic CCS power plant in China. In comparison with conventional thermal generation technologies, a coal-fired power plant with CCS requires either a 70% higher on-grid electricity tariff or carbon price support of approximately US$50/tonne CO2 in the absence of any other incentive mechanisms or financing strategies. Given the difficulties of relying on any one single measure to finance a large-scale CCS power plant in China, we explore a combination of possible financing mechanisms. Potential measures available for increasing the return on the CCS investment include: enhanced oil recovery (EOR), a premium electricity tariff, and operational investment flexibility (e.g. solvent storage, upgradability). A simulation found that combining several financing options could not only provide private investors with a 12% to 18% return on equity (ROE), but also significantly reduce the required on-grid tariff to a level that is very close to the tariff level of existing coal-fired power plants and much lower than the tariffs for natural gas combined cycle and nuclear power plants. Therefore, we suggest that a combination of existing financing measures could trigger private investment in a large-scale CCS power plant in China.

Subjects

Subjects :
China
Electricity
Finance

Details

Language :
English
Database :
OpenAIRE
Journal :
Liang, X, Liu, H &amp; Reiner, D 2014 &#39; Strategies for Financing Large-scale Carbon Capture and Storage Power Plants in China &#39; . < http://www.eprg.group.cam.ac.uk/wp-content/uploads/2014/07/1410-PDF.pdf >
Accession number :
edsair.doi.dedup.....7fc318d7baa5cedac876cccefe9887d1