Abstract
The average CO2 emission growth rate of Korea is 1.4% which is second highest among OECD countries. The Korean government plans to start CO2 injection by 2018, so in order to develop ready to inject sequestration site by that time, there is a need to assess storage sites technically, economically, and from safety point of view. Three potential basins namely Kunsan, Jeju and Ulleung are thought to have good CO2 storage capacity in Korea. In this study, CO2 storage potential in sedimentary basins of Korea is calculated along with their economic analyses. The results show that Ulleung basin has the maximum storage capacity and low storage cost among other basins. These results provide the basis for decision making while selecting storage site for commercial sequestration that offer maximum storage capacity and least storage cost.
| Original language | English |
|---|---|
| Title of host publication | Computer Aided Chemical Engineering |
| Publisher | Elsevier B.V. |
| Pages | 71-75 |
| Number of pages | 5 |
| DOIs | |
| State | Published - 2012 |
| Externally published | Yes |
Publication series
| Name | Computer Aided Chemical Engineering |
|---|---|
| Volume | 30 |
| ISSN (Print) | 1570-7946 |
Bibliographical note
Funding Information:This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (2011-0001114), Brain Korea 21 Project initiated by the Ministry of Education of Korea(ME), Energy Efficiency & Resources Development and Human Resources Development of the Korea Institute of Energy Technology Evaluation and Planning (KETEP) grant funded by the Ministry of Knowledge Economy (MKE), Republic of Korea (2010201020006D,20094010100040) and the LNG Plant R&D Center funded by the Ministry of Land, Transportation and Maritime Affairs (MLTM) of the Korean government.”
Keywords
- Capacity estimation
- Carbon dioxide storage
- Economical analysis
- Geological storage
ASJC Scopus subject areas
- General Chemical Engineering
- Computer Science Applications