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Transcritical CO2 Refrigeration System in Tropical Region

2015· book-chapter· en· W2501192898 on OpenAlexaboutno aff
D. K. Gupta, Mani Sankar Dasgupta

Bibliographic record

VenueAdvances in mechatronics and mechanical engineering (AMME) book series · 2015
Typebook-chapter
Languageen
FieldEngineering
TopicRefrigeration and Air Conditioning Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsRefrigerantRefrigerationVapor-compression refrigerationTranscritical cycleEnvironmental economicsEnvironmental scienceNatural (archaeology)Process engineeringComputer scienceEngineeringGeographyEconomicsMechanical engineeringGas compressor

Abstract

fetched live from OpenAlex

Environmental concerns and enactments of Montreal and Kyoto Protocol for sustainable growth is a welcome impetus for researchers towards a quest for ecologically safe and natural refrigerants and cost effective designs of refrigeration systems. Carbon dioxide (CO2) is one such natural refrigerants that, although was abandoned once due techno-economic reason, has been receiving tremendous attention and is viewed as a strong candidate for long term alternative of synthetic refrigerants. The commercial success of CO2 as a refrigerant and its universal acceptance, however demands cost effective and widely accepted technology operable under various environmental conditions. In this chapter, the use of CO2 as refrigerant in trans-critical vapor compression system is discussed in detail along with its unique challenges associated with operating in tropical region. Further the opportunities for using these systems in tropical region with specific systematic modification are explored. Discussions on component design and system level performance analysis are also included in the chapter.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.924
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.009
GPT teacher head0.206
Teacher spread0.197 · 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.

Study designTheoretical or conceptual
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
Published2015
Admission routes1
Has abstractyes

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