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Record W4411263729 · doi:10.1016/j.energy.2025.137133

A novel solar-driven energy conversion system using ocean carbon dioxide for generating useful outputs with hydrogen and storage solutions

2025· article· en· W4411263729 on OpenAlexaff
Hilal Sayhan Akci Turgut, İbrahim Dinçer

Bibliographic record

VenueEnergy · 2025
Typearticle
Languageen
FieldEnergy
TopicHybrid Renewable Energy Systems
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsCarbon dioxideHydrogen storageHydrogenProcess engineeringEnvironmental scienceEnergy storageSolar energyEnergy transformationMaterials scienceChemistryComputer scienceEngineeringPhysicsElectrical engineeringThermodynamicsOrganic chemistryPower (physics)

Abstract

fetched live from OpenAlex

The presently developed integrated system is focused on a solar energy-driven integrated plant with various energy storage benefits, which is designed to generate electricity, freshwater, hydrogen, oxygen, carbon dioxide extraction, heating, and cooling. The proposed system comprises concentrated panels with ocean hot and cold storage, an ocean thermal energy conversion system with cooling, a multi-effect desalination system with freshwater storage, supercritical and transcritical carbon dioxide-based power plants, and a novel electro-cation exchange reactor, designed and tested experimentally, with compressed hydrogen storage and oxygen storage. The analysis of the system is conducted based on thermodynamic evaluations. The monthly CO 2 extraction ranges from 120 kg to 160 kg, while the monthly hydrogen production varies between 80 kg and 110 kg, depending on operational and seasonal conditions.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

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)0.0020.000

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 head0.017
GPT teacher head0.212
Teacher spread0.195 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2025
Admission routes1
Has abstractyes

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