Optimal Load Capacitance for Triboelectric Energy Harvesters to Maximize Transient Power
Bibliographic record
Abstract
This paper describes an analytic method to determine the optimal load capacitance of a full wave rectifier (FWR) in triboelectric energy harvesters. The amount of average power delivered from the harvester to the rectifier grows in each cycle, eventually reaching a peak value. In steady state, the average rectifier power depends on the harvester characteristics and the load capacitance of the rectifier. For a given harvester, if the load capacitance is too small, the rectifier power does not reach the maximum power in steady state. Alternatively, if the load capacitance is too large, the number of cycles to reach maximum power increases, causing additional delay. An analytic method is proposed to estimate the optimum value of this capacitance, which ensures maximum power while minimizing the transient time. The results are validated with the measurement results of a triboelectric harvester.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".