Numerical investigations of a new thermal de-icing method for overhead conductors based on high current impulses
Bibliographic record
Abstract
The theoretical background of a thermal de-icing method for overhead bare conductors subjected to ice accumulation is presented. The proposed thermal method is based on Joule effect but uses current impulses superposed onto the AC nominal current of the conductor whose perimeter is half-covered by a semi-elliptic ice sleeve. The purpose is to study the influence of environmental parameters on the shedding time obtained. For theoretical investigations, a specific numerical model using finite elements, finite volumes and explicit finite differences was developed. Several numerical simulations were carried out in order to study the influence of characteristic environmental parameters such as air speed, air temperature and ice thickness on ice shedding time, number of required current impulses as well as temperature distribution along the ice/conductor composite. The results obtained showed that the use of current impulses allows the confinement of the Joule effect heat to the ice/conductor interface. By decreasing the current impulse duration or increasing the current impulse magnitude, a more efficient heat confinement can be obtained at the ice/conductor interface. Also, the results showed than this method is not sensitive to wind speed and that shedding time is decreased with thicker ice sleeves.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".