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Record W2331885770 · doi:10.5383/ijtee.03.01.002

Potential Geothermal Energy Utilization in Jordan: Possible Electrical Power Generation

2010· article· en· W2331885770 on OpenAlexvenueno aff
Z.S.H. Abu-Hamatteh, Khitam Alzughoul, Saleh Al-Jufout

Bibliographic record

VenueInternational Journal of Thermal and Environmental Engineering · 2010
Typearticle
Languageen
FieldEnergy
TopicGeothermal Energy Systems and Applications
Canadian institutionsnot available
FundersAl-Balqa' Applied University
KeywordsGeothermal gradientGeothermal energyElectric potential energyElectricity generationEnvironmental scienceElectric powerPower (physics)GeologyThermodynamicsPhysics

Abstract

fetched live from OpenAlex

Jordan, which is considered as part of the ring of fire, is tectonically active and could be considered as potential region for future generation of energy from the available geothermal energy resources. The current article discusses the possibility of utilizing geothermal energy in generating electrical power in Jordan. Jordan encounters geothermal energy resources in two main forms, medium and low energy with variation of temperature ranges from 110-114 o C and 30-65 o C, respectively. The various hot springs and wells have been subjected to a comparison in terms of temperature and flow rate in order to determine the most suitable method for electric power generation. This comparison concluded that electrical power could be generated using geothermal binary power plants and geothermal Stirling engines.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.591
Threshold uncertainty score0.438

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 head0.005
GPT teacher head0.190
Teacher spread0.185 · 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

Citations11
Published2010
Admission routes1
Has abstractyes

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