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Record W4365792377 · doi:10.15866/ireme.v16i12.23201

Comparative Analysis of Air Conditioning Performance with 0.5 PK Capacity Using Environmentally Friendly Refrigerants

2022· article· en· W4365792377 on OpenAlexaboutno aff
Urip Prayogi, Gatot Ciptadi, Widodo Widodo, Abdurrouf Abdurrouf

Bibliographic record

VenueInternational Review of Mechanical Engineering (IREME) · 2022
Typearticle
Languageen
FieldEngineering
TopicRefrigeration and Air Conditioning Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsRefrigerantAir conditioningEnvironmental scienceEnvironmentally friendlyProcess engineeringWaste managementCoefficient of performanceEngineeringHeat exchangerMechanical engineering

Abstract

fetched live from OpenAlex

In accordance with the Montreal Protocol, R22 will be completely banned from its use from January 1, 2030. Research looking for alternative refrigerants replacing R22 has experienced a significant increase. One of the replacement refrigerants that have gradually expanded their use are hydrocarbon refrigerants, few of which are R32, R290, and R410a. However, there are no experiments using the same test equipment for use on R32, R410a and R290 refrigerants. In addition, a more detailed study comparing the respective those refrigerants has not been found. This study aims on knowing the performance of machines that use R32, R290, and R410a refrigerants. This research uses 0.5 PK air conditioner. This research has begun with the preparation of tools and materials. Preparatory steps include assembly and setting up test installations, vacuuming, refrigerant filling and leak tests. The testing and the data retrieval steps are carried out after the system operates for about 30 minutes, i.e. until the system is working normally. Data collection is carried out with the change parameter or replacing the refrigerant. After obtaining data, analysis on Coefficient of Performance (COP), electricity costs, and economical refrigerant needs is carried out. The results have shown that the COP of R32 had the highest value from the 1-hour test, which has been 49.1. The most economical electricity cost is assumed to live for 24 hours in 1 month, namely in R32 refrigerant with a total amount of $12.46. The most economical refrigerant capacity operational cost is R290 refrigerant with a total amount of $9.01.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.079
Threshold uncertainty score0.640

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.019
GPT teacher head0.248
Teacher spread0.229 · 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 designSimulation or modeling
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

Citations0
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueInternational Review of Mechanical Engineering (IREME)Same topicRefrigeration and Air Conditioning TechnologiesFrench-language works237,207