(707e) Techno-Economic Assessment and Sensitivity Analysis of Post-Combustion CO2 Capture Process for Energy and Industrial Sectors

After the Conference of the Parties 21th session at Paris in 2015, regulations about CO₂ emission are being discussed actively, and the importance of CO₂ separation process has greatly increased to take action against the global climate change. Techno-Economic Assessment (TEA) is used as a framework to evaluate technical readiness of CO₂ capture technologies and their economic impact. In this presentation, potential benefits of process integration between CO₂ capture and CO₂-emitting systems were fully investigated, as synergetic advantages can be gained by facilitating system-wide heat and power recovery in a holistic manner. We have proposed methodology of TEA to allow systematic analysis of CAPEX and OPEX, including major equipment cost, indirect cost (EPC cost, owner’s cost, contingency, etc.), operating & maintenance cost, for post combustion CO₂ capture processes integrated with various emitters in energy and industrial sectors. The TEA method proposed in this study is validated by comparing that of the DOE/NETL and applied for post-combustion CO₂ capture processes which are energetically integrated with a power plant. Cost breakdown of each technology are also analyzed to gain guidance and strategies for further process development and research. Various parameters and assumptions made for economic evaluation is subject to national energy policy or engineering environment, and such changes result in significant difference in capture cost. Therefore, in this presentation, sensitivities of several key factors, namely, plant capacity factor, plant lifetime, discount rate, contingencies and other parameter changes, are also investigated to localize the CO₂ capture cost, under plant engineering environment of the Republic of Korea.

Acknowledgement

This research was supported by the Korea Carbon Capture & Sequestration R&D Center (KCRC) through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT and Future Planning (2014M1A8A1049338) and by the Korea government(MSIT)(No. 2019R1A2C2002263).