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Record W4205411030 · doi:10.22215/etd/2021-14736

A Numerical and Experimental Analysis of a Transcritical, CO2 Heat Pump Water Heater

2021· dissertation· en· W4205411030 on OpenAlexaff
Kayla Lewry

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEngineering
TopicRefrigeration and Air Conditioning Technologies
Canadian institutionsCarleton University
Fundersnot available
KeywordsTranscritical cycleRefrigerantThermal expansion valveGas compressorEvaporatorDischarge pressureHeat pumpIsentropic processWork (physics)ThermodynamicsCarbon dioxideMaterials scienceEnvironmental scienceMechanicsHeat exchangerMechanical engineeringEngineeringChemistry

Abstract

fetched live from OpenAlex

Due to the environmental concerns regarding traditional refrigerants, carbon dioxide (CO2) is being studied as an alternative refrigerant in HPWHs. In this study, a commercially available, transcritical CO2 HPWH was numerically and experimentally assessed. This included developing a model of the CO2 HPWH and calibrating it with experimental data. The model was theoretically verified and utilized to predict the cycle pressures and compressor isentropic efficiency. While the predicted discharge pressures were within the expected range, the significant biases indicate that further work is required to increase the model accuracy. Additionally, study of the control system indicated that the water outlet temperature controls the water pump, the ambient temperature controls the compressor and evaporator fan, and that the expansion valve controls the high side pressure. Lastly, the performance data shows that the HPWH achieves the best performance at ambient air temperatures above 0C and at water inlet temperatures below 30C.

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 categoriesInsufficient payload (model declined to judge)
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 score0.010
Threshold uncertainty score0.999

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)0.0010.000

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 head0.008
GPT teacher head0.247
Teacher spread0.239 · 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 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

Citations1
Published2021
Admission routes1
Has abstractyes

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