The commercial refrigeration sector in Mauritius: CO2 as a possible alternative solution for small tropical developing states.
Bibliographic record
Abstract
The phase out of HCFCs in countries bound by Article 5 of the Montreal Protocol has resulted in a drastic increase in the use of high GWP HFCs in the commercial refrigeration sector. Indirect emissions which occur through high energy consumptions are important in Small Island Developing States (SIDs) like Mauritius, which rely heavily on imported fossil fuels for their electricity generation. The impact and implications of HCFC-22 phase out on the energy efficiency of refrigeration systems for Article 5 countries have to be looked into if the issue of global warming and ozone depletion is to be addressed. In this article, the energy efficiency of the commercial refrigeration sector in Mauritius is analysed with special focus on the implications of the potential use of CO2 as refrigerant. CO2 has emerged as a promising refrigerant for supermarket refrigeration systems in Europe. The shift for such alternative technologies in the commercial refrigeration sector represents a tremendous leap for SIDs. However, alternative technologies will not be an attractive option unless their energy consumption is at least equivalent to current HFC DX systems. Based on analyses carried out, the paper discusses the implications of a shift towards CO2 as a refrigerant.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".