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Record W2922237482 · doi:10.3390/wsf2-01165

Modelling Thermally Interacting Multiple Boreholes with Variable Heating Strength

2012· article· en· W2922237482 on OpenAlexaff
Marc A. Rosen, Seama Koohi‐Fayegh

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnergy
TopicGeothermal Energy Systems and Applications
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsBoreholeHeat exchangerHeat transferMechanicsHeat pumpTransient (computer programming)GeologyGeotechnical engineeringMaterials scienceThermodynamicsPhysics

Abstract

fetched live from OpenAlex

Various heat transfer models are reported for vertical ground heat exchangers, and several basic analytical and numerical models of vertical heat exchangers are described and compared, and recent developments are discussed. To examine the effect of temperature rise in the soil surrounding a vertical ground heat exchanger on the performance of the ground heat pump, the heat transfer model that represents the temperature rise and heat flows outside the borehole is often coupled to the models inside the borehole via the borehole wall temperature. This temperature is an important factor that affects the heat delivery/removal strength of the system to/from the ground. In the current study, the results of a semi-analytical model that couples a model outside the borehole with one inside the borehole taking into account the transient borehole wall temperature is described. The results of this model for a constant borehole wall temperature are compared with those for a transient one with a numerical model. It is shown that transient borehole wall temperature results in more accurate temperatures for the circulating fluid flowing to the heat pump.

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)0.002
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 score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.021
GPT teacher head0.225
Teacher spread0.204 · 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

Citations3
Published2012
Admission routes1
Has abstractyes

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