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Record W2884185828 · doi:10.1063/1.5034034

Numerical study on ocean thermal energy conversion system

2018· article· en· W2884185828 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Renewable and Sustainable Energy · 2018
Typearticle
Languageen
FieldEngineering
TopicThermodynamic and Exergetic Analyses of Power and Cooling Systems
Canadian institutionsMemorial University of Newfoundland
FundersState Oceanic AdministrationChina National Offshore Oil Corporation
KeywordsOcean thermal energy conversionEvaporatorCondenser (optics)ThermalHeat transferThermal efficiencyThermal energyThermodynamicsEvaporationEnvironmental scienceWorking fluidElectricity generationNuclear engineeringMaterials scienceMechanicsPower (physics)EngineeringChemistrySolar energyHeat exchangerPhysicsElectrical engineering

Abstract

fetched live from OpenAlex

A thermodynamic model is developed for ocean thermal energy conversion (OTEC) systems. Considering the narrow temperature range in the evaporator, different system capacities were analyzed and compared in the sub-critical state with practical ocean thermal conditions. The results show that higher evaporation pressure will lead to less thermal load in the evaporator and the condenser and lower mass flow rates of working fluid. The thermal efficiency of different systems and the power generation for unit heat transfer area were found to be closely related to evaporation pressure, with a positive linear relationship. It was also found that increasing the capacity of the system can increase the thermal efficiency and its power generation for unit heat transfer area. This study provides useful insights into the design and equipment selection of OTEC systems.

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.

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 score0.387
Threshold uncertainty score0.582

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 head0.004
GPT teacher head0.196
Teacher spread0.192 · 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