Prospects of Renewable Energy Development in the European Electricity Sector: Results of the Simulation Tool Green-X
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper presents the results of selected simulation runs based on the computer model Green-X. The results suggest that the most significant efficiency gains -measured in terms of premiums to support renewables - can be achieved by optimising national RESE support measures - between two thirds and three quarters of the overall cost reduction potential can be attributed to the optimisation of national support schemes. Further efficiency improvements at a considerably lower level (at about one quarter to one third of the overall cost reduction potential) are possible through an EU-wide harmonisation of support schemes provided that a common European power market exists. Regional coordination represents an essential step towards EU wide harmonisation; half the additional cost benefits of an EU-wide harmonisation can already be tapped through regional coordination compared to the nationally optimised schemes. If a harmonised policy is pursued, technology-specific support is superior to non-specific support with respect to cost minimisation.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it