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Record W2906369998

Non-Flammable R-410A Alternative for Commercial Refrigeration and Air Conditioning

2018· article· en· W2906369998 on OpenAlexaboutno aff
Joshua Hughes, Barbara Minor

Bibliographic record

VenuePurdue e-Pubs (Purdue University System) · 2018
Typearticle
Languageen
FieldEngineering
TopicRocket and propulsion systems research
Canadian institutionsnot available
Fundersnot available
KeywordsFlammable liquidRefrigerationAir conditioningEnvironmental scienceWaste managementEngineeringMechanical engineering
DOInot available

Abstract

fetched live from OpenAlex

It is well known that R-410A is the predominant refrigerant used globally in air conditioning systems. However, there has recently been growing interest in 410A use in commercial refrigeration applications in Japan. Along with the Kigali amendment to the Montreal Protocol to phase down use of HFCs, Japan has enacted HFC regulations with specific GWP limits. For commercial condensing units and larger refrigeration systems, a GWP limit of < 1500 GWP will be implemented starting in 2025. To address the need for a lower GWP R-410A alternative, a nonflammable hydrofluoroolefin (HFO) refrigerant mixture with named XP41 (R-463A pending) has been developed. XP41 is a five-component mixture of HFO-1234yf using HFC-32, 125, and 134a and a small amount of CO2. HFO-1234yf is included in the formulation to reduce the GWP. HFC-32 and CO2 have been added to increase the cooling capacity and provide comparable performance to R-410A. For large building air conditioning where variable refrigerant flow (VRF) use is growing, there is also a significant challenge to safely use flammable refrigerants due to large charge sizes. XP41 could potentially address this need as well This paper will provide detailed information on the properties and other key characteristics of XP41, including drop-in testing in an air conditioning 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)0.000
metaresearch head score (Gemma)0.000
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.003

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 head0.013
GPT teacher head0.223
Teacher spread0.210 · 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

Citations1
Published2018
Admission routes1
Has abstractyes

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