An Experimental Evaluation on Air Conditioning Performance with Vairtex Air Director Applied on Residential Condenser Unit
Bibliographic record
Abstract
First invented by Gerard Godbout -co-founder of VairTEX Canada Inc., the US and Canadian patented-device called VairTEX Air Director is installed on top the air-cooled condenser top discharge to improve the efficiency of air conditioning/refrigeration systems.Through tests at their industrial partners in Canada and in the United States, the device has demonstrated its effectiveness by reducing compressor power consumption, where a highest saving of 21% was recorded.However, as VairTEX has chosen to focus on the industrial/commercial markets, no data has been obtained for residential air conditioning system to further validate the company claims.An experimental study was carried out to evaluate the effectiveness of VairTEX Air Director device on a modified 1.5-ton air conditioner located in the thermodynamic laboratory at the Department of Mechanical and Aerospace Engineering -Carleton University.The experiment was divided into two parts.The first part included thermodynamic performance evaluations at two different refrigerant flow rates.In particular, coefficient of performance (COP), power consumption, refrigeration capacity were examined in order to provide comparisons of these parameters with and without the Air Director device implemented.As the Air Director was installed on the condenser unit, COP was improved by an appreciable
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".