A clean energy Korea by 2035: Transitioning to 80% carbon-free electricity generation
Bibliographic record
Abstract
South Korea relies on imported fossil fuels for over 60% of its electricity generation, making it vulnerable to energy security risks and fuel price volatility. This study analyzes pathways for South Korea to achieve an economically optimal clean electricity generation mix by 2035, using capacity expansion and production cost modeling. We find that transitioning to 80% clean electricity—comprising 50% renewables and 30% nuclear—alongside investments in storage and transmission is both economically desirable and operationally feasible. Expanding renewables can reduce dependence on imported natural gas and coal while dramatically reducing emissions. Declined clean energy costs can reduce electricity supply costs by 23%–40% compared with 2022. Hourly dispatch simulations indicate that South Korea's grid can integrate high levels of variable renewables without coal generation or new natural gas power plants. Realizing these benefits requires ambitious policies, a robust regulatory framework, and effective business models to spur renewable energy growth.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".