Assessment of alternative design schemes to reduce the edge losses in HTS power transmission cables made of coated conductors
Bibliographic record
Abstract
In this paper, we investigate the effectiveness of alternative designs to reduce the AC losses of high temperature superconducting (HTS) power transmission cables. The idea behind these designs is to undermine the edge effect, which is one of the main factors contributing to AC losses in HTS power cables made of coated tapes. The edge effect, which arises from the presence of gaps between the tapes, results in large normal components of magnetic field near the edges of the tapes and in turns leads to a current distribution with higher density near the edges. To perform our investigation we use a numerical technique developed in our previous work which allows us to consider the helical configuration of the tapes. Through numerical simulations we assess the effectiveness of two overlapped designs, i.e. a cyclic overlapped design and an anticyclic overlapped design, in reduction of AC losses in single layer HTS power cables made of coated tapes. Simulation results show that AC losses can be reduced by about 70% as compared with a typical single layer cable.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".