MétaCan
Menu
Back to cohort
Record W4242922945 · doi:10.5383/ijtee.09.01.005

Feasibility of Using Volcanic Tuff Stone in Ground Heat Exchange for Cooling and Heating Systems in Buildings

2014· article· en· W4242922945 on OpenAlexvenueno aff
Sameh Sqoor, Mohmd Sarireh, Ali Alahmer, Wafa Tarawneh

Bibliographic record

VenueInternational Journal of Thermal and Environmental Engineering · 2014
Typearticle
Languageen
FieldEnergy
TopicGeothermal Energy Systems and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsHVACAir conditioningEnvironmental scienceRelative humidityDuct (anatomy)InletVolcanoRenewable energyEnvironmental engineeringWaste managementMeteorologyEngineeringMechanical engineeringGeologyGeographyElectrical engineering

Abstract

fetched live from OpenAlex

Energy is a crucial sector in Jordan. In the world, Jordan is considered as the highest dependency on foreign energy sources, with 96% of the country's energy imported from oil and natural gas from neighboring countries. Numerically, it consumes 13% from the gross national product (GNP) costing 2.6 billion JD. The need is appearing to use new renewable resources specifically in air conditioning processes to reduce the bill of energy paid annually, in addition to the improve of practices and policies in energy sector. The current research focuses on the use of the ground heat exchange (GHE) model for cooling and heating system to improve the efficiency of the heating, ventilating, and air conditioning (HVAC) units in households and apartments using volcanic tuff stone. A GHE model was constructed by making a hole of 2 m X 1.5 m with a depth of 1.5 m, the volcanic tuff stone is placed enabling heat transfer through volume and voids of stone. The cooled air is extracted by a fan located at the exit (duct 20 X 20 cm) with electric capacity is 60 watts. The temperatures and relative humidity for air inlet and outlet were continuously measured during the period of testing. The results showed that the feasibility of using GHE model as a main part of heating/cooling system. The average temperature difference between the air inlet and exit of GHE model are or cooling and heating system respectively. Also, the relative humidity of air improves reasonably and increases in most cases.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.194
Threshold uncertainty score0.396

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 head0.014
GPT teacher head0.227
Teacher spread0.213 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Thermal and Environmental EngineeringSame topicGeothermal Energy Systems and ApplicationsFrench-language works237,207