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Record W2016200992 · doi:10.1080/01430750.2008.9675079

A comparative study on the performance of a R22 window air conditioner retrofitted with R407C/R290/R600a refrigerant mixture

2008· article· en· W2016200992 on OpenAlexaboutno aff
M. Herbert Raj, D. Mohan Lal

Bibliographic record

VenueInternational Journal of Ambient Energy · 2008
Typearticle
Languageen
FieldEngineering
TopicRefrigeration and Air Conditioning Technologies
Canadian institutionsnot available
FundersDepartment of Science and Technology, Ministry of Science and Technology, India
KeywordsRefrigerantAir conditioningGas compressorZeotropic mixtureCondenser (optics)Environmental scienceCooling capacityThermodynamicsMaterials science

Abstract

fetched live from OpenAlex

SYNOPSIS HFCs are the leading options for replacing R22 in air conditioning applications due to the Montreal Protocol. Among the HFCs, one of the more promising refrigerants is R407C, a zeotropic refrigerant mixture with a glide temperature difference of roughly 6°C. However, R407C could not be used as a drop-in substitute since HFCs are immiscible with conventional mineral oils and POE is used as a lubricant. But POE is highly hygroscopic in nature and will cause adverse effects in the system. Previous research reported that M20 (80% R407C and 20% HC blend by weight) could be a viable substitute without changing the mineral oil. But, in that study, the condenser tube length was increased by 19% to limit the discharge pressure within the acceptable limits of an existing R22 compressor. In the present study a test is conducted to assess the performance of M20 as a drop-in substitute for R22 in a window air conditioner, without increasing condenser length but with the capillary length alone changed. The indoor and outdoor air temperatures were varied in accordance with BIS 1391 (1992) standard and the test was carried out in a psychrometric test facility. Experimental results showed that M20 refrigerant had 4.18% to 7.47% lower cooling capacity compared to the R22 system. Hence M20 can be used as a drop-in substitute for R22 in a window air-conditioner but with marginal reduction in cooling capacity.

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 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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.730
Threshold uncertainty score0.347

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 head0.016
GPT teacher head0.230
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, 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

Citations11
Published2008
Admission routes1
Has abstractyes

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