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Record W7006385604

Thermodynamic Performance Comparison of some Renewable and Non- Renewable Hydrogen Production Processes

2010· article· de· W7006385604 on OpenAlexafffund

Bibliographic record

VenueJuSER (Forschungszentrum Jülich) · 2010
Typearticle
Languagede
FieldMedicine
TopicBiological and pharmacological studies of plants
Canadian institutionsOntario Tech University
FundersNatural Sciences and Engineering Research Council of CanadaAksaray ÜniversitesiEge ÜniversitesiUniversity of Ontario Institute of Technology
KeywordsExergyRenewable energyHydrogen productionGeothermal gradientGeothermal energyElectricity generationElectricityFossil fuelSteam reforming
DOInot available

Abstract

fetched live from OpenAlex

This paper compares thermodynamic performance, through energy and exergy efficiencies, of the some renewable-based (e.g.geothermal) and non-renewable-based hydrogen production processes, namely: (1) steam methane reforming (SMR), (2) hybrid copperchlorine (Cu-Cl) supplied by geothermal heat and electricity from a geothermal power plant, (3) high temperature steam electrolysis (HTSE) supplied by geothermal heat and electricity from a geothermal power plant.These processes are essentially driven by two different sources such as fossil fuel and geothermal.The results show that energy and exergy efficiencies during hydrogen production range from 65-89% and 63-80% for the SMR.The efficiencies of geothermal-based hydrogen production processes seem to be a bit lower than that of SMR.However, these processes can drastically reduce the GHG emissions compared to non-renewable energy based ones, e.g., SMR process.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.235
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.021
GPT teacher head0.277
Teacher spread0.256 · 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.

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

Citations0
Published2010
Admission routes2
Has abstractyes

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