DIRECT CONVERSION OF WASTE HEAT TO ELECTRICITY USING PYROELECTRIC CONVERSION
Bibliographic record
Abstract
This paper presents information on how the pyroelectric effect could be applied to convert heat to electricity. Experimental results show how conversion output can be increased by properly controlling operating conditions. Pyroelectric coefficients of a thin 60/40 P(VDF-TrFE) film under high voltage were measured as a function of temperature. The extremely non-linear nature of pyroelectric coefficients was observed with respect to change in temperature. We also determined the electrical resistivity of 60/40 P(VDF-TrFE) copolymer. Subsequently, direct conversion of low-grade heat to electric power was conducted using a single 60/40 P(VDF-TrFE) film according to the Olsen cycle. Our experimental circuit directly measured pyroelectric output responding to synchronized temperature and voltage cyclings. Various operating parameters that affect pyroelectric conversion were examined in detail. The results showed that proper operating conditions are needed to ensure that the pyroelectric film reaches sufficient discharge at high temperature and also to avoid complete depolarization by overheating during the heating leg of the Olsen cycle. We determined that at least 5 MV/m of the electric field must be maintained at all times for effective pyroelectric conversion. By synchronizing temperature and voltage cyclings, we were able to achieve a net output energy density of 40 J/L of copolymer per cycle under applied voltage between 600 and 1000 V and film temperature 40-70°C.
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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 | 0.000 |
| 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".