• Energy Research

Based on the operating data of a 40 tCO2/day (2 megawatt (MW)) class carbon capture and utilization (CCU) pilot plant, the scaled-up 400 tCO2/day (20 MW) class CCU plant at 500 MW power plant was economically analyzed by applying the levelized cost of energy analysis (LCOE) and CO2 avoided cost. This study shows that the LCOE and CO2 avoided cost for 400 tCO2/day class CCU plant of mineral carbonation technology were 26 USD/MWh and 64 USD/tCO2, representing low LCOE and CO2 avoided cost, compared to other carbon capture and storage CCS and CCU plants. Based on the results of this study, the LCOE and CO2 avoided cost may become lower by the economy of scale, even if the CO2 treatment capacity of the CCU plant could be extended as much as for similar businesses. Therefore, the CCU technology by mineral carbonation has an economic advantage in energy penalty, power plant construction, and operating cost over other CCS and CCU with other technology.

In this study, the Destruction or Removal Efficiency (DRE) of 10 types of F-gases used in the semiconductor and display industries in South Korea was measured. These industries use a large volume of F-gases with high Global Warming Potential (GWP), significantly contributing to national greenhouse gas emissions. Therefore, accurately calculating the greenhouse gas emissions from these industries and establishing appropriate mitigation plans is crucial. The current IPCC guidelines provide parameters for estimating greenhouse gas emissions for each gas, including DRE values. However, they present only a single coefficient for each gas, without considering the diverse abatement technologies that are commercially applied in practice. As a result, there is a potential for overestimating South Korea’s national greenhouse gas emissions, as these guidelines do not reflect the advanced abatement technologies used in each country’s semiconductor and display industries. To address this, the DREs of Combustion-type and Plasma-type abatement technologies, which are widely used in South Korea, were measured based on the Korean KS guidelines, developed from the U.S. EPA’s reduction efficiency measurement guidelines. The results showed that Plasma-type technologies, which are generally known to have better reduction efficiency, achieved higher DRE values compared with Combustion-type technologies. Furthermore, statistical analysis was conducted using SPSS 26 to assess whether it is significant to develop separate DRE values for different technologies. The analysis confirmed that developing distinct DREs for each technology is statistically significant. The findings of this study provide practical guidance for selecting optimal abatement technologies in South Korea’s semiconductor and display industries and serve as fundamental data for contributing to the achievement of sustainable carbon neutrality goals through more accurate greenhouse gas inventories in countries involved in semiconductor and display production.

This study introduces a novel methodology to calculate the carbon dioxide (CO2) emission reduction related to residual emissions, calculating the CO2 emission reduction through a 2 MW (40 tCO2/day) carbon capture and utilization (CCU) plant installed at a 500 MW coal-fired power plant in operation, to evaluate the accuracy, maintainability, and reliability of the quantified reduction. By applying the developed methodology to calculate the CO2 emission reduction, the established amount of CO2 reduction in the mineral carbonation was evaluated through recorded measurement and monitoring data of the 2 MW CCU plant at the operating coal-fired plant. To validate the reduction, the accuracy, reproducibility, consistency, and maintainability of the reduction should be secured, and based on these qualifications, it is necessary to evaluate the contribution rate of nationally determined contributions (NDCs) in each country. This fundamental study establishes the concept of CCU CO2 reduction and quantifies the reduction to obtain the validation of each country for the reduction. The established concept of the CCU in this study can also be applied to other CCU systems to calculate the reduction, thereby providing an opportunity for CCU technology to contribute to the NDCs in each country and invigorate the technology.