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Record W1994857013 · doi:10.1504/ijex.2010.029613

Assessment of exergy efficiency and Sustainability Index of an air water heat pump

2009· article· en· W1994857013 on OpenAlex
İbrahim Dinçer, G.F. Naterer

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 Exergy · 2009
Typearticle
Languageen
FieldEngineering
TopicRefrigeration and Air Conditioning Technologies
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsCoefficient of performanceExergyRefrigerantExergy efficiencyThermodynamicsMass flow rateEnvironmental scienceHeat pumpEvaporationCondensationMass flowMaterials scienceHeat exchangerPhysics

Abstract

fetched live from OpenAlex

This study is undertaken to predict the second law performance of an air/water heat pump. Through energy and exergy analyses, analytical expressions are derived for the Coefficient of Performance (COP) and Exergy Efficiency (ηexe). The system is analysed to predict how the mass flow rate of R-134a, condensation and evaporation temperatures influence the system performance at various operating conditions. The results indicate that a higher COP and ηexe may arise when increasing the mass flow rate of the refrigerant, increasing the evaporation temperature, or lowering the condensation temperature. Additional results are presented for the optimum performance of the system.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.656
Threshold uncertainty score0.243

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 head0.004
GPT teacher head0.265
Teacher spread0.261 · 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