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Record W2072661717 · doi:10.1504/ijex.2013.053391

Performance assessment of an integrated absorption cooling-hydrogen liquefaction system using geothermal energy

2013· article· en· W2072661717 on OpenAlexaff
Mohamed Gadalla, Tahir Abdul Hussain Ratlamwala, İbrahim Dinçer, Mehmet Kanoğlu

Bibliographic record

VenueInternational Journal of Exergy · 2013
Typearticle
Languageen
FieldEngineering
TopicChemical Looping and Thermochemical Processes
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsGeothermal gradientGeothermal energyAbsorption refrigeratorLiquefactionMass flow rateVolumetric flow rateMass flowHydrogenAbsorption (acoustics)Environmental sciencePetroleum engineeringMaterials scienceThermodynamicsGeologyChemistryPhysicsRefrigeration

Abstract

fetched live from OpenAlex

An integrated geothermal based triple effect absorption cooling and Linde–Hampson system for hydrogen gas liquefaction is proposed and analysed thermodynamically. The effect of various operating conditions and parameters on the system performance is studied. The results show that the mass of hydrogen gas pre–cooled by the absorption system per unit mass flow rate of geothermal water flowing through the system (n) and the amount of hydrogen liquefied per unit mass flow rate of geothermal water flowing through the system (y) increase with an increase in the geothermal source temperature. Also, both energetic and exergetic coefficients of performance decrease from 1.33 to 0.12 and 0.92 to 0.08, respectively with an increase in the mass flow rate of geothermal water from 1.5 kg/s to 3.0 kg/s. The energetic and exergetic utilisation factors decrease from 0.06 to 0.009 and 0.19 to 0.006, respectively as the mass flow rate of geothermal water increases.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.448
Threshold uncertainty score0.354

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 head0.009
GPT teacher head0.240
Teacher spread0.231 · 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 designBench or experimental
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
Published2013
Admission routes1
Has abstractyes

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