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Record W2343165319 · doi:10.1504/ijsa.2015.074741

Analysis and assessment of an integrated hydrogen fuelled energy system for aircrafts

2015· article· en· W2343165319 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

VenueInternational Journal of Sustainable Aviation · 2015
Typearticle
Languageen
FieldEnvironmental Science
TopicAdvanced Aircraft Design and Technologies
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsExergyRefrigerationCombustorEnvironmental scienceHydrogen fuelWaste managementSolid oxide fuel cellHydrogenNuclear engineeringEngineeringAutomotive engineeringFuel cellsCombustionMechanical engineeringChemistry

Abstract

fetched live from OpenAlex

In this study, an integrated hydrogen fuelled energy system is developed, analysed and assessed thermodynamically through energy and exergy efficiencies. A LH2 fuelled solid oxide fuel cells (SOFC) is developed to provide electrical and potable or toilets water usage of aircraft, and heat recovery for wings icing prevention is combined with the system and the unchanged hydrogen from SOFC burns in a combustor to drive the aircraft refrigeration cycle, after SOFC stream is recovered for steam bottoming cycle, also integrated hydrogen fuelled jet engine provides thrust for aircraft. This paper includes energetic and exergetic performance assessment studies of the hydrogen SOFC and aircraft thrust engine systems. The proposed integrated systems have overall energy and exergy efficiency values of 24.68% and 22.45%, respectively.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.510
Threshold uncertainty score0.271

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.011
GPT teacher head0.273
Teacher spread0.262 · 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