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Design of carrier-based offshore CCS system: Plant location and fleet assignment

机译:基于运营商的海上CCS系统设计:工厂位置和船队分配

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As part of efforts to mitigate the global effects of greenhouse gases from fossil fuels, CO_2 Capture and Storage (CCS) technology has drawn large attention from the engineering research community. Compared to a pipeline-based system, an offshore CCSsystem using Liquefied CO_2 (LCO_2) carrier ships and offshore oil wells is expected to offer a more flexible and efficient mode of CCS to many countries, especially nations such as Korea where a pipeline-based system is inherently infeasible. In this paper we discuss a carrier-based offshore CCS system, in which CO_2 carriers may transport crude oils on inbound voyage, and seek the optimal configuration of the system including liquefaction plant location, fleet assignment, and the optimal pressure andtemperature of the cargo CO_2. We determine the optimal system configuration including the liquefaction plant location and CO_2 carrier fleet assignment with respect to the overall transport cost of the CCS system. We use two sequential linear programming problems - plant location and fleet assignment, with the pressure and temperature state of cargo CO_2 as the key CCS chain parameters. We find that the optimal state of CO_2 at each stage in the system can deviate from the triple point, depending on the system's configuration and throughput. As a case study, we demonstrate that the optimal cargo state can be different from the triple point depending on the system configuration. In this case it is -39 °C and 10 bar and the overall transport cost of CO_2 sequestration is 26.7 USD/ton. This result is based on the specific scenario of the CO_2 Capture and Storage system for Korea using southeastern Asian offshore oil wells.
机译:为了减轻化石燃料对温室气体的全球影响,CO_2捕集与封存(CCS)技术引起了工程研究界的广泛关注。与基于管道的系统相比,使用液化CO_2(LCO_2)船和海上油井的海上CCS系统有望为许多国家/地区,尤其是韩国等基于管道的系统的国家/地区提供更为灵活,高效的CCS模式。本质上是不可行的。在本文中,我们讨论了一种基于承运人的海上CCS系统,其中CO_2承运人可以在入境航程中运输原油,并寻求该系统的最佳配置,包括液化厂的位置,船队分配以及货物CO_2的最佳压力和温度。 。关于CCS系统的总体运输成本,我们确定了最佳的系统配置,包括液化工厂的位置和CO_2船队的分配。我们使用两个顺序线性规划问题-工厂位置和车队分配,并将货物CO_2的压力和温度状态作为关键CCS链参数。我们发现,取决于系统的配置和吞吐量,系统每个阶段的CO_2最佳状态都可能偏离三重点。作为案例研究,我们证明了最佳货物状态可能与三点不同,具体取决于系统配置。在这种情况下,温度为-39°C,压力为10 bar,封存CO_2的总运输成本为26.7美元/吨。该结果基于韩国使用东南亚东南亚海上油井的CO_2捕集与封存系统的特定情况。

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