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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 OpenAlexaff
İbrahim Dinçer, G.F. Naterer

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.

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)0.001
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
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 head0.004
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

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

Citations28
Published2009
Admission routes1
Has abstractyes

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