2010
DOI: 10.1016/j.enconman.2010.06.020
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Potential economies of scale in CO2 transport through use of a trunk pipeline

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Cited by 103 publications
(74 citation statements)
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“…There are two reasons for the small cost reduction. First, the cost reduction in the onshore pipeline induced by the lower transport rate in the Boryeong-Hadong section was ~30% because of the well-known economies of scale effect with regard to mass flows [45]. For example, the cost of the onshore pipeline at B1 + H1 was approximately US$10/tCO2, which corresponded to 80% of the onshore pipeline at B2, as shown in Figure 6a.…”
Section: Scenariomentioning
confidence: 94%
“…There are two reasons for the small cost reduction. First, the cost reduction in the onshore pipeline induced by the lower transport rate in the Boryeong-Hadong section was ~30% because of the well-known economies of scale effect with regard to mass flows [45]. For example, the cost of the onshore pipeline at B1 + H1 was approximately US$10/tCO2, which corresponded to 80% of the onshore pipeline at B2, as shown in Figure 6a.…”
Section: Scenariomentioning
confidence: 94%
“…Several pipeline costs models for CO2 have been published in the course of the past ten years (Chandel et al, 2010;Heddle et al, 2003;International Energy Agency GreenHouse Gas R&D Program (IEAGHG), 2005;McCoy, 2009;Mikunda et al, 2011;Parker, 2004;Serpa et al, 2011), with important discrepancies among them. Some of the models are only based on a gas pipeline cost model and do not take into account the lineic mass differences, or are not based on the same geographical region.…”
Section: Pipeline Investment Costs: the Regional Effect Of Pipeline Cmentioning
confidence: 99%
“…3(e)) and sinks (s n , Fig. 3(e)) are converted to a cost per tonne using a simplifi cation in Chandel et al 26 that relates the cost per tonne of CO 2 per kilometer transported to the total amount transported. We select a transport mass of 10 MT/yr, which is the emission rate of 1.1 GW of average coal-fi red power.…”
Section: Transport and Storage Optimizationmentioning
confidence: 99%