Study of an air conditioning and heating system incorporating a Canadian well in continental areas, cases of Rabat
Bibliographic record
Abstract
The demand on energy is growing driven by the industrial and socioeconomic development in many developing countries such as Morocco. Conventional fossil energies are pollutant and will eventually disappear in few decades. Therefore, renewable energies represent a good alternative because they are economical, permanently available and friendly to the environment. Geothermal energy is a renewable energy that consists in extracting the heat stored in the ground, to be used for heating in cold seasons and cooling in hot seasons. The Canadian or Provençal well is a geothermal system that uses the energy present in the ground, near its surface, to heat or cool the fresh ventilation air inside buildings. The case study focuses on a Canadian well, which was set in a villa under construction in Hay Riad (Rabat). Equipment has been installed to help us model thermal aspects and assess the performance of the Canadian well throughout the year (heating and cooling). The model representing the variation in soil temperature depending on the ambient temperature has been validated and allowed us to set the optimum depth for the installation of the Canadian well (2 meters in this case). Blowing trials have evaluated the performance of the system throughout the seasons. The power supplied by the Canadian well is higher in winter than in summer. The coefficient of performance of the well varies and can reach a COP of 5.8 in winter with an average of 4. The performance of the well varies depending on the nature of the soil, the rate of aeration and moisture, weather conditions, the air flow speed in the pipes etc. The energy balance concluded that the Canadian well is well suited to the city of Rabat that is based on a favorable groundwater.
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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".