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Energies 2017, 10(7), 1027; https://doi.org/10.3390/en10071027

Analysis of GHG Emission Reduction in South Korea Using a CO2 Transportation Network Optimization Model

1
Department of Industrial Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Korea
2
Business School, Kwangwoon University, 20 Kwangwoon-ro, Nowon-gu, Seoul 01897, Korea
*
Authors to whom correspondence should be addressed.
Received: 26 January 2017 / Revised: 5 July 2017 / Accepted: 13 July 2017 / Published: 19 July 2017
(This article belongs to the Special Issue Energy Production Systems)
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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. View Full-Text
Keywords: carbon capture and storage; pipeline transport; climate change; greenhouse gas carbon capture and storage; pipeline transport; climate change; greenhouse gas
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Jin, S.H.; Bai, L.; Kim, J.Y.; Jeong, S.J.; Kim, K.S. Analysis of GHG Emission Reduction in South Korea Using a CO2 Transportation Network Optimization Model. Energies 2017, 10, 1027.

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