2013
DOI: 10.1007/s10040-012-0951-2
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利用咸水层的非常规水满足冷却用水需求的co2捕集和封存成本估算

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Cited by 4 publications
(8 citation statements)
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“…The initial findings presented in the national analysis indicate under certain conditions, only a portion of the added cooling water demands for CCS can be met by extracting and treating saline formation waters. Similar findings in previous studies (Kobos et al, 2011;Klise et al, 2013) support this finding at the single power plant level. Additionally, the capture and compression of CO 2 remains the largest share of the added costs to CCS systems as reported in Kobos et al (2011) and that competition for geologically-favorable storage sites will increase the costs to store CO 2 (Roach et al, 2010(Roach et al, , 2012(Roach et al, , 2015Kobos et al, 2008Kobos et al, , 2011Kobos et al, , 2012.…”
Section: Introductionsupporting
confidence: 92%
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“…The initial findings presented in the national analysis indicate under certain conditions, only a portion of the added cooling water demands for CCS can be met by extracting and treating saline formation waters. Similar findings in previous studies (Kobos et al, 2011;Klise et al, 2013) support this finding at the single power plant level. Additionally, the capture and compression of CO 2 remains the largest share of the added costs to CCS systems as reported in Kobos et al (2011) and that competition for geologically-favorable storage sites will increase the costs to store CO 2 (Roach et al, 2010(Roach et al, , 2012(Roach et al, , 2015Kobos et al, 2008Kobos et al, , 2011Kobos et al, , 2012.…”
Section: Introductionsupporting
confidence: 92%
“…As described previously (Kobos, et al, 2011, each topical component receives its own module for direct connection to the literature-based assumptions, as well as customizable options. Figure 1 illustrates how the model components integrate together for a single power plant and can be expanded to the full coal and natural gasfired power generating fleet (Klise et al, 2013). Fig.…”
Section: Wecssim Framework Overviewmentioning
confidence: 99%
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