DOI QR코드

DOI QR Code

Analysis of Properties Influencing CO2 Transport Using a Pipeline and Visualization of the Pipeline Connection Network Design: Korean Case Study

  • Lee, Ji-Yong (Department of Industrial & Systems Engineering KAIST (Korea Advanced Institute of Science and Technology))
  • Received : 2017.01.23
  • Accepted : 2017.03.08
  • Published : 2017.03.28

Abstract

Carbon Capture and Storage (CCS) technologies involve three major stages, i.e., capture, transport, and storage. The transportation stage of CCS technologies has received relatively little attention because the requirements for $CO_2$ transport differ based on the industry-related conditions, geological, and demographical characteristics of each country. In this study, we analyzed the properties of $CO_2$ transport using a pipeline. This study has important implications for ensuring the stability of a long-term CCS as well as the large cost savings, as compared to the small cost ratio as a percentage of the entire CCS system. The state of $CO_2$, network topologies, and node distribution are among the major factors that influence $CO_2$ transport via pipelines. For the analysis of the properties of $CO_2$ transport using a pipeline, the $CO_2$ pipeline connections were visualized by the simulator developed by Lee [11] based on the network topologies in $CO_2$ transport. The case of Korean CCS technologies was applied to the simulation.

Keywords

References

  1. B. J. Kang, Economic Analysis & Optimization of Carbon Capture Storage Pipeline Transport Network System, Ph.D. Thesis, Seoul National university, Seoul, Republic of Korea, 2012.
  2. C. B. Farris, "Unusual design factors for supercritical CO2 pipelines," Energy Progress, Vol. 3, 1983, pp. 150-158.
  3. D. L. McCollum and J. M. Ogden, Techno-Economic Models for Carbon Dioxide Compression, Transport, and Storage and Correlations for Estimating Carbon Dioxide Density and Viscosity, Institute of Transportation Studies, University of California, Davis, 2006.
  4. Zhang Dongjiea, Wang Zhea, Sun Jiningb, Zhang Lilic, and Li Zhenga, "Economic evaluation of CO2 pipeline transport in China," Energy Conversion and Management, vol. 55, 2012, pp. 127-135. https://doi.org/10.1016/j.enconman.2011.10.022
  5. E. S. Rubin, "IPCC special report on carbon dioxide capture and storage," RITE international workshop on $CO_2$ geological storage, 2006.
  6. E. S. Rubin, "Understanding the pitfalls of CCS cost estimates," International Journal of Greenhouse Gas Control, vol. 10, 2012, pp. 181-190. https://doi.org/10.1016/j.ijggc.2012.06.004
  7. G. H. Heddle, H. J. Herzog, and M. Klett, "The economics of $CO_2$ storage," MIT LFEE 2003-003 RP, 2003.
  8. International Energy Agency, World Energy Outlook 2009, 2009, pp. 10-19.
  9. J. H. Han and I. B. Lee, "Development of a scalable infrastructure model for planning electricity generation and $CO_2$ mitigation strategies under mandated reduction of GHG emission," Applied Energy, vol. 88, 2011, pp. 5056-5068. https://doi.org/10.1016/j.apenergy.2011.07.010
  10. J. H. Han, Y. C. Ahn, and I. B. Lee, "A multi-objective optimization model for sustainable electricity generation and $CO_2$ mitigation (EGCM) infrastructure design considering economic profit and financial risk," Applied Energy, vol. 95, 2012, pp. 186-195. https://doi.org/10.1016/j.apenergy.2012.02.032
  11. Ji-Yong Lee, "Development of a Simulator for the Intermediate Storage Hub Selection Modeling and Visualization of Carbon Dioxide Transport Using a Pipeline," Journal of the Korea Contents Association, vol. 16, no. 12, 2016.
  12. J. R. MacFarland and H. J. Herzog, "Incorporating carbon capture and storage technologies in integrated assessment models," Energy Economics, vol. 28, 2006, pp. 632-652. https://doi.org/10.1016/j.eneco.2006.05.016
  13. J. U. Lee, J. H. Han, and I. B. Lee, "A multiobjective optimization approach for CCS infrastructure considering cost and environmental impact," I&EC, vol. 51, 2012, pp. 14145-14157.
  14. S. T. McCoy, The economics of $CO_2$ transport by pipeline and storage in saline aquifers and oil reservoirs, Ph.D. Thesis, Carnegie Mellon University, Pittsburgh, 2008.
  15. Michael Nimtz, Matthias Klatt, Bernd Wiese, Michael Kuhn, and Hans Joachim Krautz, "Modelling of the $CO_2$ process- and transport chain in CCS systems-Examination of transport and storage processes," Chemie der Erde Geochemistry journal, vol. 70, suppl. 3, 2010, pp. 185-192.
  16. M. M. J. Knoope, W. Guijt, A. Ramirez, and A. P. C. Faaij, "Improved cost models for optimizing $CO_2$ pipeline configuration for point-to-point pipelines and simple networks," International Journal of Greenhouse Gas Control, vol. 22, 2014, pp. 25-46. https://doi.org/10.1016/j.ijggc.2013.12.016
  17. Rickard Svenssona, Mikael Odenbergera, Filip Johnssona, and Lars Stromberg, "Transportation systems for CO2 application to carbon capture and storage," Energy Convention and Management, vol. 45, no. 15-16, 2004, pp. 2343-2353. https://doi.org/10.1016/j.enconman.2003.11.022
  18. Z. X. Zhang, G. X. Wang, P. Massarotto, and V. Rudolph, "Optimization of pipeline transport for $CO_2$ sequestration," Energy Conversion and Management, vol. 47, 2006, pp. 702-715. https://doi.org/10.1016/j.enconman.2005.06.001