2010
DOI: 10.1016/j.apenergy.2010.01.013
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Uncertainty modeling of CCS investment strategy in China’s power sector

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Cited by 152 publications
(74 citation statements)
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“…Most of the analysed publications on CCS in China take sufficient storage potential for granted or refer to literature sources that suggest a large effective storage capacity [32]. In contrast, the present analysis shows the high uncertainty inherent in existing storage capacity assessments, thus confirming the lack of knowledge, also stated in [11,25]. This would have direct implications on the results given in the scenario analyses and roadmaps, since large-scale CCS would become more difficult and costly [96].…”
Section: Overall Results and Discussioncontrasting
confidence: 50%
See 1 more Smart Citation
“…Most of the analysed publications on CCS in China take sufficient storage potential for granted or refer to literature sources that suggest a large effective storage capacity [32]. In contrast, the present analysis shows the high uncertainty inherent in existing storage capacity assessments, thus confirming the lack of knowledge, also stated in [11,25]. This would have direct implications on the results given in the scenario analyses and roadmaps, since large-scale CCS would become more difficult and costly [96].…”
Section: Overall Results and Discussioncontrasting
confidence: 50%
“…There were therefore very few onedimensional assessments, most of which focused on public acceptance and life cycle analysis (LCA). An increasing number of authors refer to the uncertainties and challenges faced by CCS, such as increased energy and water consumption, inadequate storage capacities or potential CO 2 leakages, which could hamper the large-scale deployment of CCS [8][9][10][11].…”
Section: Introductionmentioning
confidence: 99%
“…16,17 For China, these models mainly focus on the management of coal as a main future energy source because of its current predominance in the country's electricity mix. 16,18,19 Existing studies that use an optimization model to identify the best pathways for long-term electricity mix transition 20−24 have low geographical and temporal resolutions that are often limited to national scale and annual demand, therefore not accounting for the crucial role of electricity transmission as well as the short-time-scale variability of renewable energy. For the exploration of the realistic management of energy generation and transmission assets, a new generation of big-data models is needed.…”
Section: ■ Materials and Methodsmentioning
confidence: 99%
“…The most effective way is to capture CO 2 from the flue gases and store it. This can reduce carbon emissions by 65-70%, but due to high cost of this technology, and because so far only laboratory size CCS devices are available, CCS technologies have not yet found wide application in the industry [30]. Additionally to high cost of the CCS technologies, Roddy [31] analysed the development of CO 2 networks which can accommodate CO 2 emissions from industrial facilities.…”
Section: Mitigation Scenariosmentioning
confidence: 99%