The Experimental Investigation of the Transient Regime of Solar Electric-Vapor Compression Refrigeration Systems under Desert Weather Conditions
Bibliographic record
Abstract
Hot and dry environments may adversely affect the efficiency and performance of vapor compression refrigeration systems, increasing energy consumption and operating challenges.This experimental investigation examines the thermodynamic aspects of solar electric-vapor compression refrigeration systems built in southwest Algeria's ADRAR province's climate.For this, a reliable monitoring and recording device on the testing bench records one-minute data intervals.An example assessment on a sample test day in July 2023.At 2:05 PM, the outdoor weather was 49.4℃, 1-3% RH, and 1020 w/m 2 global solar GHI, coinciding with high cooling requirements.About 100 kg of tomatoes is introduced into storage space at 11:16 AM with a thermostat setting at 8-12℃.In the first transient regime, the results indicate that the compressor functions at 25 bar with a compression ratio of about 5 for 67 minutes.The store's chill temperature is reduced to 15℃, whereas the internal relative humidity is between 70% and 90%.The condensation temperature and pressure are high, so the distributions are within the manufacturer's limit.These circumstances enable refrigeration unit efficiency to approach an average COP value of 1.08.The high irreversibility between indoor and outdoor environments frequently impacts expansion and evaporation temperatures.In contrast, with a recommended choice of specific technical criteria, this solar PV refrigeration facility is an alternate sustainable solution for unreliable or distant grids and remote Saharan farmlands.
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 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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".