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Record W4412754807 · doi:10.11159/iccste25.350

Experimental and Numerical Analysis of Shallow Horizontal Geothermal Ventilation (SGV) in Desert Climates

2025· article· en· W4412754807 on OpenAlexvenueno aff
Ahmed Badr Mabrouk, Rais Sarbaev, Peiman Kianmehr

Bibliographic record

VenueProceedings of the International Conference on Civil, Structural and Transportation Engineering · 2025
Typearticle
Languageen
FieldEnergy
TopicGeothermal Energy Systems and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsVentilation (architecture)Geothermal gradientGeologyDesert (philosophy)Environmental scienceDesert climateMeteorologyAridGeophysicsGeographyPaleontology

Abstract

fetched live from OpenAlex

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

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.671
Threshold uncertainty score0.257

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.010
GPT teacher head0.235
Teacher spread0.225 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of the International Conference on Civil, Structural and Transportation EngineeringSame topicGeothermal Energy Systems and ApplicationsFrench-language works237,207