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Record W4283749839 · doi:10.18280/ijdne.170307

Thermal Performance of EAHE System in Algerian Site: Case Study of Ghardaïa

2022· article· en· W4283749839 on OpenAlexvenueno aff
Khalfallah Benbelgacem, Abdelmadjid Kaddour, Salah Bezari, Younes Menni, Chutarat Tearnbucha, Giulio Lorenzini, Weerawat Sudsutad, Hijaz Ahmad

Bibliographic record

VenueInternational Journal of Design & Nature and Ecodynamics · 2022
Typearticle
Languageen
FieldEnergy
TopicGeothermal Energy Systems and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsHeat exchangerThermalRenewable energyGeothermal energyMaterials scienceSaturation (graph theory)Heat transferEnvironmental scienceGeothermal gradientInletParametric statisticsNuclear engineeringMechanicsMechanical engineeringMeteorologyEngineeringGeologyPhysicsElectrical engineering

Abstract

fetched live from OpenAlex

Among the renewable energies there is geothermal energy, conventional air conditioning has negative consequences on the environment, to have an economical and sustainable solution: the EAHE respond to this concern. In the current study, the study of the thermal performance of the earth-air heat exchanger (EAHE) has been completed. For the impact of transient heat transfer in the ground near the hose, the thermal saturation of the ground is well mentioned. In addition, the role of the burial depth of the EAHE system is also taken into account during this work. The suitable depth of the buried tubes was determined by implementing the thermo-physical properties of the soil of the studied site located in Ghardaïa (Algeria) by writing a specific program. A parametric investigation was accomplished the effects of the length and the diameter of the pipe, in addition the speed of the inlet air on the temperature of the outlet of the EAHE system in both cases PVC and HDPE material. The results showed that the optimal parameters in order to obtain a good performance for the studied EAHE: maximal value of pipe length, and minimal values of diameter pipe and air velocity 30 mm and 1.2 m/s respectively.

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)0.001
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.102
Threshold uncertainty score0.347

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.009
GPT teacher head0.234
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 designSimulation or modeling
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

Citations3
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Design & Nature and EcodynamicsSame topicGeothermal Energy Systems and ApplicationsFrench-language works237,207