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Record W2949554740 · doi:10.1115/1.4044023

Design and Analysis of a Novel Integrated Wind-Solar-OTEC Energy System for Producing Hydrogen, Electricity, and Fresh Water

2019· article· en· W2949554740 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 Solar Energy Engineering · 2019
Typearticle
Languageen
FieldEngineering
TopicThermodynamic and Exergetic Analyses of Power and Cooling Systems
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsExergyOcean thermal energy conversionExergy efficiencyDesalinationProcess engineeringEnvironmental scienceHydrogen productionElectricity generationSolar energyRankine cycleThermal energyThermal efficiencyEnvironmental engineeringHydrogenThermodynamicsEngineeringChemistryPower (physics)Electrical engineeringPhysics

Abstract

fetched live from OpenAlex

Abstract A new energy system for power, hydrogen and fresh water production is proposed. The environmentally benign ocean thermal energy conversion (OTEC), wind and solar energy resources are utilized. The hybrid thermochemical CuCl cycle is used for hydrogen production, and the reverse osmosis (RO) desalination system is incorporated for producing fresh water. The presently developed system is analyzed through thermodynamic energy and exergy approaches. The energetic efficiency of the integrated trigeneration system is determined to be 45.3%, and the exergetic efficiency is found to be 44.9%. In addition to this, the energy efficiency of the OTEC power generation cycle is 4.5% while the exergy efficiency is found to be 12.9%. Furthermore, the CuCl hydrogen production cycle is examined to have exergetic and energetic efficiencies of 36% and 35.2%, respectively. Also, numerous parametric studies are performed to analyze the system performance at different operating parameters.

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: none
Teacher disagreement score0.614
Threshold uncertainty score0.716

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
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 head0.175
Teacher spread0.170 · 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