Performance Research on Heat Pump Using Blends of R744 with Eco-friendly Working Fluid
Bibliographic record
Abstract
In order to protect the environment and save energy, new refrigerants with zero ozone depleting potential, low global warming potential have been investigated by more and more researches to substitute HCFCs/ HFCs for eco-friendly working fluid. Among alternatives, non-azeotropic mixtures are becoming the more potential and important candidates. In this research, the transcritical system performances of water heater heat pump using R744/DME (dimethyl ether) binary mixture as working fluid were theoretically analyzed. On mix R744 with DME in a smaller mass fraction, both the optimum heat rejection pressure and the heating coefficient of performance (COP) are decreased. The mean relative reduction rate of optimum heat rejection pressure, however, is greater than that of heating COP. Also, the influence of superheat degree at the inlet of compressor upon the optimum heat rejection pressure and the heating COP is also discussed. The results show that the R744/DME can work as a promising alternative to replace with current widely-used Freons.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".