Performance Assessment of a Thermoelectric Heat Pump Heat Recovery Ventilator
Bibliographic record
Abstract
Heat recovery ventilators (HRVs) are used to conserve energy by transferring heat between exhaust and intake ventilation airstreams in buildings. While conventional HRVs use “fixed-plate” heat exchangers, the addition of thermoelectric modules (TEMs) to act as compact solid-state heat pumps can increase heat transfer between the airstreams. For this study, a TEM-based heat recovery ventilator (TEM HRV) was tested to quantify its performance at a range of operational conditions typical of residential installations. Conventional heat pump Coefficients of Performance (COPs) were calculated for each test and increased significantly with decreasing applied current. However, as total heat transfer across the TEM HRV is due to conduction, as well as the thermoelectric-driven heat transfer, the thermoelectric input factor (TEIF) was found to be a more representative indicator of TEM HRV performance improvement.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".