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Record W2595342884 · doi:10.1016/j.egypro.2017.03.032

Performance of R407C as an Alternate to R22: A Review

2017· review· en· W2595342884 on OpenAlexaboutno aff
Shailendra Kasera, Shishir Chandra Bhaduri

Bibliographic record

VenueEnergy Procedia · 2017
Typereview
Languageen
FieldEngineering
TopicRefrigeration and Air Conditioning Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsRefrigerantMontreal ProtocolEnergy consumptionRetrofittingEnvironmental scienceEngineeringEnvironmental economicsOzone layerMeteorologyMechanical engineeringEconomicsOzoneGeographyElectrical engineering

Abstract

fetched live from OpenAlex

The outcome of R407C as a drop in replacement of R22 has been reviewed in this paper. As per Montreal Protocol, R22 is going to be phase out due to its unfavourable impacts related to environment e.g. ozone depletion potential (ODP) and global warming potential (GWP). R407C has zero ODP and considerably GWP as compared to R22. The releasing of refrigerants in the surroundings becomes the cause of issues pertinent in environment. A detailed review about the experimental studies associated with the performance of R407C is provided. The aim is to put together all the diversified information about the R407C in a single paper. It is found after the careful observation that R22 performs somewhat better than R407C in many aspects i.e. COP, Cooling Capacity, Energy Consumption, and Exergetic Analysis but retrofitting point of view, it is best suitable refrigerant and R410A is suitable for new design.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.002

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 head0.050
GPT teacher head0.332
Teacher spread0.282 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations49
Published2017
Admission routes1
Has abstractyes

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