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Record W2968899586 · doi:10.5539/eer.v9n2p30

Research and Application of Thermoelectric Energy Conversion Device Based on Heat Dissipation of Coal Pile

2019· article· en· W2968899586 on OpenAlexvenueno aff
Jiangang Wang

Bibliographic record

VenueEnergy and Environment Research · 2019
Typearticle
Languageen
FieldMaterials Science
TopicAdvanced Thermoelectric Materials and Devices
Canadian institutionsnot available
Fundersnot available
KeywordsCoalHeat pipePileEnergy transformationThermoelectric effectWaste heatMaterials scienceEnvironmental scienceThermal energyElectricity generationDissipationPower (physics)Mechanical engineeringWaste managementHeat transferMechanicsGeologyGeotechnical engineeringHeat exchangerEngineeringThermodynamics

Abstract

fetched live from OpenAlex

In view of the spontaneous combustion of coal piles, waste of resources and environmental pollution, gravity heat pipes are inserted into coal piles, and the heat inside the coal piles will be extracted in time because of the high-efficiency thermal conductivity of the heat pipe phase change. In order to achieve energy conservation and environmental protection, a thermoelectric energy conversion device based on gravity heat pipe was designed, which can convert heat energy extracted from the coal pile into electrical energy for supply of low power loads. The results show that the gravity heat pipe can effectively suppress the temperature rise inside the coal pile; the coal body within 0.03m away from the gravity heat pipe is better in cooling effect; the thermoelectric energy conversion system is capable of converting thermal energy inside the coal pile into electric energy and supplying a low power load such as a wireless sensor.

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.463

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.020
GPT teacher head0.291
Teacher spread0.271 · 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 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
Published2019
Admission routes1
Has abstractyes

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