ENERGY EFFICIENCY ANALYSIS METHODS OF REFRIGERATION PLANTS
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Cold supply systems occupy a leading place in many industries. Their improvement is currently associated with two main areas: energy saving and ecology. The problems of energy saving are paid great attention both at the state level (Federal Law No. 261-FZ "On Energy Saving and on Improving Energy Efficiency and on Amending Certain Legislative Acts of the Russian Federation") and by the owners of refrigeration equipment. The costs of electricity consumed by cold supply systems make up a significant part both in the total balance of energy consumption of the enterprise (for catering enterprises it ranges from 48% to 60%) and in the country's total energy consumption (for example, the share of energy consumption of air conditioning systems in Europe ranges from 2% to 6%). Along with this, the ratification by the Russian Federation of Montreal (Resolution No. 539 of the Government of the Russian Federation of 27.08.2005) and the Kyoto (FZ 128-FZ of November 4, 2004) Protocols, the entry into force of European Regulations 517/2014 governing the decommissioning of refrigerants with global warming potential GWP above 2500, for example, the R404A and R507A currently in active use, as well as the adoption by the Russian Federation of new environmental legislation in connection with the signing of the Paris Agreement, leads to the need to use new refrigerants, which are not always more efficient than traditionally used solutions and require changes to the technological scheme of refrigeration systems. These factors lead to the need to improve efficiency calculation methods based on classical methods of thermodynamic analysis.
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.
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 | 0.003 | 0.007 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it