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Record W3013786464 · doi:10.1115/1.4046728

Development of a Geothermal-Based Integrated Plant for Generating Clean Hydrogen and Other Useful Commodities

2020· article· en· W3013786464 on OpenAlexaff
Yunus Emre Yüksel, Murat Öztürk, İbrahim Dinçer

Bibliographic record

VenueJournal of Energy Resources Technology · 2020
Typearticle
Languageen
FieldEngineering
TopicThermodynamic and Exergetic Analyses of Power and Cooling Systems
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsExergyGeothermal gradientGeothermal energyRenewable energyProcess engineeringGeothermal powerEnvironmental scienceSeparator (oil production)Exergy efficiencyElectricity generationWorking fluidPower stationPetroleum engineeringParametric statisticsMass flow rateWaste managementEnvironmental engineeringEngineeringThermodynamicsMechanical engineeringPower (physics)GeologyMathematics

Abstract

fetched live from OpenAlex

Abstract In this study, geothermal energy is considered as a renewable energy source to finally provide various useful outputs such as electricity, hydrogen, fresh and hot water, drying, heating, and cooling. In this regard, a new geothermal power-based multigenerational system is proposed to meet these demands in an environmentally benign manner and studied thermodynamically by considering energy and exergy approaches and investigating parametrically. A combination of geothermal energy is used to achieve the most promising hydrogen generation rates and high plant performances. The results of this study indicate that the energy and exergy efficiency values of the entire plant for the selected operating conditions become 38.41% and 42.57%. In addition to the thermodynamic analysis performed, numerous parametric studies are performed to reveal how operating conditions and state parameters affect the overall system performance. According to the parametric analyses results, for given ranges, an increase in ambient temperature, separator working temperature, geothermal fluid temperature, and geothermal fluid mass flowrate have positive impact on both energy and exergy efficiency of the integrated system and useful products generation rate as well.

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 score0.212
Threshold uncertainty score0.404

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 head0.013
GPT teacher head0.199
Teacher spread0.187 · 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

Citations16
Published2020
Admission routes1
Has abstractyes

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