'Development of New Refrigerant for Air-Conditioning System'
Bibliographic record
Abstract
Ozone depletion and global warming or more accurately climate change are major environmental concerns with serious implications for the future development of the refrigerant based industries. The industry has reacted to reduce ozone depletion but the follow-on consequences of trying to react to the need to reduce the emission of greenhouse gasses. Consequent upon the Montreal Protocol and its adjustments came to measure to reduce the production and use of materials with high ozone depletion potentials. First, the halons were banned, then the chlorofluorocarbons (CFCs) and now there's a push to ban the hydrochlorofluorocarbon (HCFCs) on a time scale which becomes shorter with each new amendments to the protocol. The rush for developing new refrigerant working fluid is at peak now considering the impact on ozone depletion, global warming, economics safety and efficiency. In this study, six potential refrigerant working fluids are investigated based on the enthalpy of solution and the pH using calorimetry method. Sodium chlorate ofmolaltiy 5.637 mol/kg is the most suitable refrigerant for the new air conditioning system using the membrane technology. The l5°C temperature decrement of the solution provides a large driving force for heat transfer from ambient to the endothermic salt solution. Experiment results shows that in a well insulated system, the endothermic salt solution could provide cooling of hot air to l8°C - 20°C for up to 50 minutes. Sodium chlorate is also non-toxic as compared to Freon-22, highly stable and do not corrode copper coils. This eliminates the waste treatment required by Freon-22.
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 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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".