MétaCan
Menu
Back to cohort
Record W4232444775 · doi:10.5383/ijtee.06.02.002

Analysis of a Hybrid Renewable Energy Stand-Alone Unit for Simultaneously Producing Hydrogen and Fresh Water from Sea Water

2013· article· en· W4232444775 on OpenAlexvenueno aff
Ashraf Balabel, Hamdy Kotb

Bibliographic record

VenueInternational Journal of Thermal and Environmental Engineering · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicWater-Energy-Food Nexus Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBrackish waterRenewable energyDesalinationEnvironmental scienceReverse osmosisSeawaterGeothermal desalinationElectricityEnvironmental engineeringBoiler feedwaterWaste managementProcess engineeringBoiler (water heating)EngineeringChemistrySalinityEcologyMembrane

Abstract

fetched live from OpenAlex

The present paper proposes a new imaging of a stand-alone unit for the simultaneously production of fresh water and hydrogen gas from sea water and brackish water. The proposed stand-alone unit can contribute effectively to the integrated water policy in Egypt's present and future. The fresh water is produced using desalination with reverse osmosis technologies driven by renewable energy systems. This is thought to be the optimum solution to the potable water scarcity at remote areas characterized by the lack of conventional energy sources like heat and electricity grid. Different new electrochemical concepts for hydrogen production from the produced brine stream are illustrated with the emphasis on the safely removal of the evolved chlorine. Electricity used, either for driving high-pressure pumps or for ionization of salts contained in the sea water, is produced from a hydrogen fuel cell unit. The proposed stand-alone unit can become widely utilized not just for drinking water applications but for industrial process applications where high purity is demand.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.264
Threshold uncertainty score0.609

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)0.0010.000

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 head0.169
Teacher spread0.164 · 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 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

Citations5
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Thermal and Environmental EngineeringSame topicWater-Energy-Food Nexus StudiesFrench-language works237,207