Experimental and Numerical Analysis of Shallow Horizontal Geothermal Ventilation (SGV) in Desert Climates
Bibliographic record
Abstract
Space cooling is a major energy demand in the UAE and the Middle East, contributing significantly to carbon emissions.The research of the shallow geothermal energy studies the potential of harnessing the stable ground temperature for heat exchange, as a sustainable cooling energy source to alleviate this energy burden.Historically, records indicate that the Middle East is the first to adopt the shallow horizontal geothermal system as the ancient middle eastern homes used the "Qanat" system, combined with air towers, to achieve natural housing cooling.To revive and modernize this concept, an innovative thermally controlled laboratory facility is constructed, dedicated to evaluating the cooling capabilities of shallow horizontal geothermal systems under various environmental conditions.This facility performs comprehensive tests, examining different UAE soil types, airflow, thermal exchange models, groundwater sources, and ambient air conditions.The research project aims to investigate the potential contribution of the green technology of horizontal shallow geothermal systems in cooling structures in arid and semi-arid regions, with a focus on UAE's climate as a representative example
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".