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Record W2892217290 · doi:10.5829/ijee.2018.09.02.08

Theoretical analysis of a Low GWP Refrigerants as a Drop in substitute of R134a in a Domestic Refrigerator

2018· article· en· W2892217290 on OpenAlexaboutno aff

Bibliographic record

VenueIranica Journal of Energy and Environment · 2018
Typearticle
Languageen
FieldEngineering
TopicRefrigeration and Air Conditioning Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsRefrigerantEvaporatorCondenser (optics)Refrigerator carRefrigerationHeat exchangerGas compressorAir conditioningAir source heat pumpsEnvironmental scienceMontreal ProtocolThermodynamicsThermal expansion valveCoefficient of performanceProcess engineeringWaste managementEnvironmental engineeringChemistryEngineeringOzone layerOzone

Abstract

fetched live from OpenAlex

Now a days Fridges and Air-conditioners are mostly used in domestic environment. The CFCs have been almost ruled out since 1995 due to their huge impact on the ozone layer, due to the above problem HFC refrigerants are introduced but these are having a high GWP value, which causes environmental pollution. But later Kyoto protocol came into existence which stated the need to replace HFC’S due to their high GWP values. Along with the prevention of environmental pollution, performance improvement also very important. Performance of a conventional refrigeration system can be improved with the help of liquid-suction heat exchanger. So in this paper, Thermodynamic analysis of domestic refrigerator with liquid suction heat exchanger using R134a as a refrigerant was done and the results are compared with various low gwp refrigerants like, HFC152a, HC290, HC600a, HFO1234yf and HFO1234ze(E) as a possible alternative to 134a without any modification to the system. Performance parameters like COP, Refrigeration Effect, Compressor Work and Pressure ratio have been reported at various operating parameters like evaporator temperature, condenser temperature. Theoretical results revealed that all the low GWP refrigerants used in the analysis have a slightly lower performance the R134a at various condenser and evaporator temperatures

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.293
Threshold uncertainty score0.344

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 head0.209
Teacher spread0.205 · 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

Citations5
Published2018
Admission routes1
Has abstractyes

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Same venueIranica Journal of Energy and EnvironmentSame topicRefrigeration and Air Conditioning TechnologiesFrench-language works237,207