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Record W4229549147 · doi:10.32920/ryerson.14644848

A Prototype Of Propane Refrigerant Based ASHP With Heat Recovery Ventilation (HRV) System

2021· preprint· en· W4229549147 on OpenAlexaff
Ali Karevan

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicRefrigeration and Air Conditioning Technologies
Canadian institutionsToronto Metropolitan UniversitySciencetech (Canada)
Fundersnot available
KeywordsRefrigerantAir source heat pumpsHeat pumpPropaneEnvironmental scienceRenewable energyProcess engineeringHeat exchangerWaste managementNuclear engineeringThermodynamicsEngineeringMechanical engineeringElectrical engineering

Abstract

fetched live from OpenAlex

In recent years, an increased focus has been given to replacing high Global Warming Potential (GWP) refrigerants with relatively low GWP alternatives. Energy efficiency, carbon reduction and HFC phase-down will push the heat pump market towards natural refrigerants. Propane (R-290) is a type of hydrocarbon refrigerant with zero ozone depletion potential and very low GWP (< 4). R-290 is a pure refrigerant and has excellent thermodynamic properties. The research presented in this project is a study of the refrigerant side of an ASHP to analyze the thermodynamic performance of the propane refrigerant under different operating conditions. For this purpose, a test rig was designed and constructed in a single packaged air source heat pump unit. In addition, the air side of the tested heat pump was designed for energy recovery in cooling and heating modes. The compactness of the system and installation of air dampers allows its placement for coupling to the building renewable air sources, such as a building integrated photovoltaic/thermal (BIPV/T) system.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0070.002

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 head0.194
Teacher spread0.184 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2021
Admission routes1
Has abstractyes

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