Numerical Assessment of EAHE Systems for Refreshment in Desert Algerian Regions
Bibliographic record
Abstract
As an example of green energy (geothermal energy), which has been the subject of advanced research in recent decades, the earth-to-air heat exchanger (EAHE) is the application of an air heat exchanger to soil temperatures, in which air circulates in tubes in thermal contact with the ground. The performance of the EAHE cooling system is evaluated at two separate sites (arid and semi-arid) in Algeria throughout this investigation. The impact of the EAHE system's entombed depth is then considered in this paper. According to our earlier research, the proper depth of the inhumed pipes is set at 3 m. The thermo-physical properties of the soil at several sites located in southern Algeria (Ghardaia: 32 22 54 North, 3 47 58 East) and Ouargla: 31 55 53 North, 5 24 24 East) are implemented by writing a program with the Scilab 6.0.2 software. Based on the results obtained, it can be concluded that the thermal range parameter is a more relevant and efficient parameter for evaluating the thermal performance of the EAHE (Earth-to-Air Heat Exchanger) system. Furthermore, the Ouargla region is a suitable location for the experimental realization of the EAHE system. The thermal amplitude interval (Trange) in Ouargla during the annual period is larger compared to Gharda a, with maximum values of 22.5 and 20 respectively. It is worth noting that the thermal comfort level (20-27) is more suitable for the Ouargla region rather than Gharda a. Additionally, there is an average difference of around 2.5 in the thermal amplitude between the two zones during the hot season, further highlighting the superiority of the Ouargla region.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".