EFFECTS OF THE SOIL PROPERTIES ON CANADIAN WELLS PERFORMANCE: NUMERICAL SIMULATION
Bibliographic record
Abstract
Air-soil heat exchangers are among the most used in industrial applications involving heat transfer and therefore to face the increasing demand of renewable energy, especially in the residential sector. For this reason, this system is studied as a potential solution that could be integrated in the Positive Energy Pilot Building project. This study investigates the effect of different dry and saturated soils on the heat transfer. ANSYS Fluent is used for the simulation of a buried pipe. The pipe is 3m underground with a diameter of 0.11m. Different values of thermal diffusivity α=0.027-0.0715 m2/day for dry clay, saturated clay, dry gravel, saturated gravel, dry sand and saturated sand respectively are considered. The annual variation is presented to illustrate the characteristic periods with the corresponding performance of the heat exchanger. Then, more details are described for characteristic days of the year corresponding to extreme weather conditions (winter and summer). The physical interpretation shows the effect of different soil thermal diffusivities on the heat transfer. Saturated soils show better results for heat transfer and temperature difference between the inlet and outlet. Also, the effect of different Reynold numbers is studied where Re=10000-20000 for the saturated sand. The comparison showed that the best performance in terms of temperature difference was a value of 11.5 K during extreme periods of summer and winter. Re=14975 represents the optimal value of the Reynolds number under the conditions of the present study.
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".