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Record W4395666580 · doi:10.18280/mmep.110411

Simulation of an Ammonia-Carbon Dioxide Transcritical Cascade Refrigeration System

2024· article· en· W4395666580 on OpenAlexvenueno aff
Hasanen M. Hussen, Mokdad Hayawi Rahman, Hasan Sh. Majdi, Khalid Saleh

Bibliographic record

VenueMathematical Modelling and Engineering Problems · 2024
Typearticle
Languageen
FieldEngineering
TopicRefrigeration and Air Conditioning Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsTranscritical cycleCarbon dioxideCascadeRefrigerationAmmoniaEnvironmental scienceWaste managementProcess engineeringChemistryThermodynamicsRefrigerantEngineeringChemical engineeringGas compressorPhysicsOrganic chemistry

Abstract

fetched live from OpenAlex

This study aims to evaluate the viability of employing ammonia (R717), a naturally existing refrigerant, within a transcritical cascade refrigeration configuration.The low temperature (LT) cycle of the cascade transcritical refrigeration system is driven by carbon dioxide, while the high temperature (HT) cycle is propelled by ammonia.Furthermore, the proposed transcritical cascade cycle has the potential to be utilized not just for cooling purposes but also for heat generation.The thermal performance of the cascade cycle has been evaluated for several combinations of design and operational parameters, leading to the identification of optimal presentation metrics like COPheating, COPcooling, COPsys, and the mass flow ratio of R717/R744.The lowtemperature cycle is dependent on two specific temperatures that are considered design parameters: the temperature of the evaporator and the temperature at which the gas cooler outlet is set.The analysis demonstrates that the coefficient of performance (COP) for cooling remains relatively constant, with values of approximately 0.601 at 32 and 0.680 at 40.This suggests that variations in the evaporator temperature do not significantly impact the COP of the system.The impact of increasing discharge pressure on the system's coefficient of performance (COP), heating, and cooling becomes apparent.An inverse correlation exists between the discharge pressure and the coefficient of performance (COP) of the system.Specifically, the COP is measured at 0.791 when the discharge pressure is 8000 kPa, and it decreases to 0.620 when the discharge pressure increases to 12000kPa.

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: none
Teacher disagreement score0.685
Threshold uncertainty score0.563

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 head0.019
GPT teacher head0.220
Teacher spread0.202 · 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
Published2024
Admission routes1
Has abstractyes

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