Design and Preliminary Testing of a Prototype Thermophotovoltaic System
Bibliographic record
Abstract
Thermophotovoltaics (TPV) is technology similar to conventional solar photovoltaics, which have been in existence for over 50 years. The main difference between traditional solar photovoltaics and TPV is that, instead of the sun, an “emitter” is used to produce light, which is then converted into electricity by the TPV system. This emitter is heated via combustion or some other method until photons are ejected. Although the light utilized in the TPV system is not as energetic as that from the sun, the fact that the TPV cells can be placed in close proximity to the source (compared with the distance to the sun) increases the intensity of the light received by the cells. This results in a higher power production density than is possible with traditional solar photovoltaic systems. One estimate of maximum achievable output power density for TPV systems is 5W/cm2, approximately 500 times that of a traditional solar PV system. Researchers in this field have already demonstrated power densities of 1.5W/cm2. Other attractions of TPV systems include fuel versatility, compact size, silent sun-independent operation, and low maintenance costs. A TPV test station has been assembled at the Alberta Research Council in Canada. A general overview of the background technology and system components will be presented, as well as preliminary experimental results. Areas that require additional improvement in order to increase system efficiency will also be addressed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".