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Record W58111858

Simulation of earth-to-air heat exchanger systems

2004· dissertation· en· W58111858 on OpenAlexaboutno aff

Bibliographic record

VenueSpectrum Research Repository (Concordia University) · 2004
Typedissertation
Languageen
FieldEnergy
TopicGeothermal Energy Systems and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsDimensioningHeat exchangerTransient (computer programming)Volume (thermodynamics)Environmental scienceCondensationControl volumeAirflowRelative humidityTube (container)MeteorologyEngineeringMechanical engineeringMechanicsThermodynamicsComputer scienceGeographyPhysicsAerospace engineering
DOInot available

Abstract

fetched live from OpenAlex

Solar energy accumulated in the soil may be utilized with earth-to-air heat exchangers (ETAHEs), which have a single tube or a group of tubes buried into the ground. The use of such a system requires a complex dimensioning process, which involves optimization of numerous parameters such as the airflow rate, tube length, depth, and diameter; in the meantime, some potentially adverse aspects of the system such as condensation have to be considered. In this thesis, first a transient control volume model is presented to investigate the transient soil heat rejection around an ETAHE. Then, a 1-D steady-state model is developed by combining a control volume model with an analytical solution for prediction of ETAHE outlet temperature, relative humidity and condensation (if any). The model is validated against two sets of published experimental data. By trying various combinations of different parameters, one may find an optimal dimension for an ETAHE system. Application of this technique in Montreal climate is also analyzed. (Abstract shortened by UMI.)

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.015
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.025
GPT teacher head0.274
Teacher spread0.249 · 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 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

Citations8
Published2004
Admission routes1
Has abstractyes

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