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Record W2056637233 · doi:10.1080/15435075.2014.892876

Three-Dimensional Analysis of the Thermal Interaction of Multiple Vertical Ground Heat Exchangers

2014· article· en· W2056637233 on OpenAlexaff
Seama Koohi‐Fayegh, Marc A. Rosen

Bibliographic record

VenueInternational Journal of Green Energy · 2014
Typearticle
Languageen
FieldEnergy
TopicGeothermal Energy Systems and Applications
Canadian institutionsUniversity of Ontario Institute of Technology
Fundersnot available
KeywordsThermal conductionHeat transferMechanicsHeat exchangerBoreholeFluentHeat pumpThermalEnvironmental scienceEngineeringMechanical engineeringComputer simulationGeotechnical engineeringThermodynamicsPhysics

Abstract

fetched live from OpenAlex

The use of ground heat pumps for heating and cooling buildings is receiving increasing attention due to their many benefits. But such systems have some challenges regarding the long-term use of groundwater for thermal purposes, including the sustainability of the systems. Interference between adjoining installations is being reported, raising issues of sustainability in terms of performance and equitable sharing of natural resources. To help address this issue, an investigation is reported here of the thermal interaction of vertical ground heat exchangers, in which two- and three-dimensional transient heat conduction is examined in the soil around vertical ground heat exchangers. A finite volume numerical solution is applied using FLUENT software. The research extends a previous study in which the analytical results of the line source theory are validated using two-dimensional numerical results, which inherently neglects axial heat transfer effects. The three-dimensional numerical study reported here accounts for axial heat transfer in the soil surrounding a borehole. It is demonstrated that a specified length exists for which the heat from the borehole wall is only conducted in the radial direction and the results of the two-dimensional heat conduction approach are valid.

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 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 score0.393
Threshold uncertainty score0.961

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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.016
GPT teacher head0.248
Teacher spread0.233 · 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.

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

Citations9
Published2014
Admission routes1
Has abstractyes

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