Abstract
Korea’s national carbon capture and storage (CCS) master plan aims to commercialize CCS projects by 2030. Furthermore, the Korean government is forced to reduce emissions from various sectors, including industries and power generation, by 219 million tons by 2030. This study analyzes a few scenarios of Korean CCS projects with a CO2 pipeline transportation network optimization model for minimizing the total facility cost and pipeline cost. Our scenarios are based on the “2030 basic roadmap for reducing greenhouse gases” established by the government. The results for each scenario demonstrate that the effective design and implementation of CO2 pipeline network enables the lowering of CO2 units cost. These suggest that CO2 transportation networks, which connect the capture and sequestration parts, will be more important in the future and can be used to substitute and supplement the emission reduction target in case the execution of other reduction options faces uncertainty. Our mathematical model and scenario designs will be helpful for various countries which plan to introduce CCS technology.
Highlights
Carbon capture and storage (CCS) has attracted considerable attention as an effective technology for reducing greenhouse gas (GHG) emissions in response to climate change concerns.The International Energy Agency (IEA) has estimated that CCS has the potential to reduce CO2 emissions by up to 19% by 2050
This study focuses on analyzing the empirical effects of the CCS project being pursued in accordance with the climate change response plan of South Korea
The first scenario assumes that the development and commercialization of related technologies will proceed as planned in the implementation of the CO2 reduction targets, and only CCS technology would be used as presented in the national GHG reduction roadmap
Summary
Carbon capture and storage (CCS) has attracted considerable attention as an effective technology for reducing greenhouse gas (GHG) emissions in response to climate change concerns. A mathematical model is proposed to construct an optimal CCS network based on the given GHG emission sources, representative candidate sequestration sites, and facility construction–operation costs. In Han et al [10], a multi-period model was proposed for maximizing the average annual profit of CCS infrastructure (including utilization, capture, storage, and sequestration facilities) over a long-term planning interval considering the disposal and utilization of CO2. The CO2 infrastructures, including capture facilities, storage facilities, transport modes, and injection facilities, proposed in these studies would require significant upfront financial investment to achieve the predicted economies of scale in CO2 transport and avoidance costs [16].
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