2017
DOI: 10.3390/en10071027
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Analysis of GHG Emission Reduction in South Korea Using a CO2 Transportation Network Optimization Model

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 CO 2 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 greenh… Show more

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Cited by 14 publications
(5 citation statements)
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“…If compared with households and export sectors, the government's pollution discharge density is relatively low. Jin et al (2017) 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. The results for each scenario demonstrate that the effective design and implementation of CO2 pipeline network enables the lowering of CO2 units cost.…”
Section: Literature Reviewmentioning
confidence: 99%
“…If compared with households and export sectors, the government's pollution discharge density is relatively low. Jin et al (2017) 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. The results for each scenario demonstrate that the effective design and implementation of CO2 pipeline network enables the lowering of CO2 units cost.…”
Section: Literature Reviewmentioning
confidence: 99%
“…In 2016, South Korea announced a detailed plan for reducing emissions by 37% of its estimated 2030 business-as-usual level (851 million tons) by the same year [7]. In the agriculture, fisheries, and forestry sectors, the Korean government has set a goal of abating 1.54 million tons (or 15.5%) of business-as-usual GHG emissions by 2030.…”
Section: Introductionmentioning
confidence: 99%
“…Smart city operations are significantly influenced by a variety of elements, including water, gas, electricity, buildings, services, transportation networks, and others [1][2][3][4][5][6][7][8][9]. Transportation networks play a critical role for the populations inhabiting smart cities.…”
Section: Introductionmentioning
confidence: 99%