Open-source portable solar power supply for plasma generators
Bibliographic record
Abstract
Non thermal plasmas created by dielectric barrier discharge can break down methane directly to constituent elements without carbon dioxide emissions to produce a high-purity hydrogen and byproduct of solid carbon. To fulfill the environmental promise of plasma generators they must be powered with sustainable energy sources such as solar photovoltaic (PV) systems. There is a need to overcome the limitations of past approaches to power plasma systems to develop a completely open source solar PV system design capable of providing the necessary high-quality power. To overcome this research gap, this article provides a customizable open-source PV-powered design for plasma generators, which allows off-grid operation. This design facilitates the modification of existing lab-grade plasma generator setups into portable solar-powered systems. The open source inverter provides for AC loads at both 120 V and 230 V and has an acceptable total harmonic distortion of 3.58 %. The system was successfully able to power plasma generation and produce high quality plasmas with methane. Plasma generators are highly sensitive to any input voltage variation and power oscillation and the open source system provided higher power applied to the plasma reactor, which resulted in increased CH 4 conversion by 60.5 % and H 2 production 44.7 % compared to grid supply.
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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 | 0.000 | 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 | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.016 | 0.004 |
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".