Electric Field Energy Harvesting From High-Voltage Power Lines for Consumer Batteryless Wireless Sensor Networks
Bibliographic record
Abstract
Leakage electromagnetic energy widely exists in the vicinity of high-voltage power lines. This work proposes a comprehensive electric field energy harvester, which can drive a commercial consumer-oriented Zigbee-based Wireless Sensor Platform (WSP). Electric field energy harvesting is selected as its energy density is about 60 uJ/m3 under 525-kV power lines, twice higher than that due to the magnetic field. To this end, a capacitive coupling model is studied to evaluate electric energy harvesters placed under high-voltage power lines, which is proven with good accuracy. A complete energy harvesting platform is developed, which contains a two plates-based energy harvester, a bridge rectifier, a storage capacitor, and an ultra-low-power comparator. Experimental verification shows that the proposed batteryless wireless sensing platform can operate every 40 s corresponding to 3.3 mJ of energy collected in this period under the 525-kV power lines. This electric energy harvesting approach is believed to have great potential for energizing wireless sensor networks under high-voltage power lines.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".