2017
DOI: 10.1016/j.cherd.2017.01.016
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CO 2 capture and storage (CCS) cost reduction via infrastructure right-sizing

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Cited by 38 publications
(13 citation statements)
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“…In this case, the per stored tonne cost of a point-to-point system may be anywhere from 30% to 350% higher than would be the case for an optimal network 60 . Compounding the uncertainty is the level of renewable energy adoption and the concomitant reduction in the utilization of CCS fossil-fired power plants favoring a smaller size pipeline investment 61 . These factors suggest that initial deployment of CCS is highly unlikely to be part of a scale-optimized network and, in the absence of enforceable planning legislation, it will be difficult to reverse the trend in the future.…”
Section: Capital Cost Penaltiesmentioning
confidence: 99%
“…In this case, the per stored tonne cost of a point-to-point system may be anywhere from 30% to 350% higher than would be the case for an optimal network 60 . Compounding the uncertainty is the level of renewable energy adoption and the concomitant reduction in the utilization of CCS fossil-fired power plants favoring a smaller size pipeline investment 61 . These factors suggest that initial deployment of CCS is highly unlikely to be part of a scale-optimized network and, in the absence of enforceable planning legislation, it will be difficult to reverse the trend in the future.…”
Section: Capital Cost Penaltiesmentioning
confidence: 99%
“…Field F7.4 (67 papers, 31% of C7) explored optimisation models for CO 2 transport. Key papers included Fimbres and Wiley [159] (d = 140), who, after reviewing several CCS network optimisation methodologies, proposed to start with determining the characteristics of a near-optimal CCS pipeline network by taking a whole systems approach to the minimum total cost per tonne of CO 2 avoided in a "steady-state"; Knoope et al [160] (d = 127), who modelled a transportation network under uncertainty using a real option approach (ROA), and without uncertainty, using a perfect foresight (PF) model; and Mechleri et al [161] (d = 110), who presented an optimisation methodology for the "right-size" CO 2 transport infrastructure, by taking into account the future variability in CO 2 flow (including periods of zero flow) due to an increasing share of renewables, and therefore a reduced load of fossil fuel-fired power plants.…”
Section: Cluster C5 (Pink 255 Nodes 6%)-the Chemistry Of Capture Anmentioning
confidence: 99%
“…On a decadal time-scale, CCS capacity will be gradually deployed and ostensibly lead to an increase in target CO 2 injection rates. Meanwhile, the deployment of extensive amounts of intermittent renewable power could lead to displacement of thermal generation as well as an increased, hourly dependent, variability in storage demand for CO 2 from power [15,16,17,18]. Investigating the eect these variable rates of CO 2 injection can have on regional reservoir behaviour and storage supply is the focus of our current study.…”
Section: Ukmentioning
confidence: 99%