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Record W4256236177 · doi:10.1002/9781119181002.ch7

Modeling Ground Heat Exchangers

2016· other· en· W4256236177 on OpenAlexaff
Marc A. Rosen, Seama Koohi‐Fayegh

Bibliographic record

VenueGeothermal Energy · 2016
Typeother
Languageen
FieldEnergy
TopicGeothermal Energy Systems and Applications
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsHeat pumpHeat exchangerBoreholeHeat transferNTU methodGroundwaterEnvironmental scienceMechanicsMicro heat exchangerPlate heat exchangerPetroleum engineeringGeologyEngineeringGeotechnical engineeringMechanical engineeringPhysics

Abstract

fetched live from OpenAlex

The modeling of ground heat exchangers is examined. Various models have been reported for heat transfer in borehole heat exchangers and their coupling with heating, ventilating, and air conditioning and building energy systems. Both analytical and numerical approaches are considered, and parameters such as moisture migration and groundwater flow, relevant boundary conditions, and solution errors are described. Groundwater and how it and its movement affects the performance of ground-source heat pump systems is assessed. Two- and three-dimensional models are covered, as are horizontal and vertical heat exchangers. Finally, the coverage is expanded to the modeling of multiple boreholes in the form of a borefield and systems with time varying heat transfer rates.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.823
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0320.003

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 head0.016
GPT teacher head0.229
Teacher spread0.214 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2016
Admission routes1
Has abstractyes

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