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Record W3202829697 · doi:10.1002/est2.269

Accumulated and transient exergy analyses of pneumatic systems with isochoric and isobaric compressed air storage tanks

2021· article· en· W3202829697 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

VenueEnergy Storage · 2021
Typearticle
Languageen
FieldEngineering
TopicRefrigeration and Air Conditioning Technologies
Canadian institutionsUniversity of Windsor
FundersNational Natural Science Foundation of China
KeywordsIsobaric processExergyIsochoric processCompressed air energy storageStorage tankExergy efficiencyGas compressorEnvironmental scienceTransient (computer programming)Process engineeringEnergy storageWaste managementThermodynamicsEngineeringComputer scienceMechanical engineeringPhysics

Abstract

fetched live from OpenAlex

Abstract Low energy efficiency is one of the most significant shortcomings of industrial pneumatic systems. The isobaric air storage tank is a new concept for improving the energy efficiency of pneumatic systems. In this study, comprehensive accumulated and transient exergy analyses are conducted to provide insight into the energy‐saving mechanism of isobaric air storage tanks. The results show that the system exergy efficiency can be improved by replacing the isochoric tank with an isobaric one. There is negligible exergy destruction in both storage tanks. However, the storage tank can bring about significant influences on other components. The isobaric tank can effectively improve the exergy efficiencies of the compressor, cooler, and regulator. Besides, there is a huge potential to improve system exergy efficiency by taking advantage of the wasted exergy from the pneumatic cylinder.

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 score0.076
Threshold uncertainty score0.556

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 head0.017
GPT teacher head0.231
Teacher spread0.214 · 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