Integrated Assessment Modeling of Korea 2050 Carbon Neutrality Technology Pathways
Hanwoong Kim, Haewon McJeon, Dawoon Jung, Hanju Lee, Candelaria, Bergero, Jiyong Eom

TL;DR
This study uses integrated assessment modeling to evaluate Korea's 2050 carbon neutrality pathways, emphasizing rapid energy transition, technology deployment, and policy implications for achieving net-zero emissions.
Contribution
It provides a comprehensive scenario analysis highlighting the critical role of renewables, CCS, and nuclear power in Korea's decarbonization strategy.
Findings
Rapid energy transition is essential for Korea's 2050 carbon neutrality.
Nuclear power reduces the need for extensive renewables and CCS.
Limited CCS availability increases policy costs and deployment challenges.
Abstract
This integrated assessment modeling research analyzes what Korea's 2050 carbon neutrality would require for the national energy system and the role of the power sector concerning the availability of critical mitigation technologies. Our scenario-based assessments show that Korea's current policy falls short of what the nation's carbon-neutrality ambition would require. Across all technology scenarios examined in this study, extensive and rapid energy system transition is imperative, requiring the large-scale deployment of renewables and carbon capture & storage (CCS) early on and negative emission technologies (NETs) by the mid-century. Importantly, rapid decarbonization of the power sector that goes with rapid electrification of end-uses seems to be a robust national decarbonization strategy. Furthermore, we contextualize our net-zero scenario results using policy costs, requirements…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsClimate Change Policy and Economics · Integrated Energy Systems Optimization · Social Acceptance of Renewable Energy
