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Numerical Study of Mine Water Heat Recovery System Using Coupled Heat Exchanger Units

2020· preprint· en· W4285701889 on OpenAlex
Hosein Kalantari, Sajjan Pokhrel, Amin Shadi, Ali Ghoreishi-Madiseh, Agus P. Sasmito

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicGeoscience and Mining Technology
Canadian institutionsMcGill UniversityUniversity of British Columbia
Fundersnot available
KeywordsHeat exchangerHeat recovery ventilationEnvironmental scienceNuclear engineeringMaterials sciencePetroleum engineeringMechanical engineeringGeologyEngineering

Abstract

fetched live from OpenAlex

This paper conducts a numerical study to investigate the Mine Water Heat Recovery (MWHR) system using a code developed in MATLAB. The system comprises two heat exchanger units, one located in mine water discharge region (Heat capturing unit) and another in mine intake air region (Heat delivery unit). Former captures heat energy from hot water at mine water outlet using a glycol closed-loop circuit and latter exchanges this captured heat with mine intake cold air. Thermal coupling between these two mentioned units is taken into account in the code. A typical underground mine in Canada is investigated as a case study to evaluate the feasibility of the system. In addition, to have a wider overview, a parametric study is conducted to investigate the impact of various parameters including mine intake air heating demand and mine intake air flow rate on energy savings.

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.

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 score0.076
Threshold uncertainty score0.955

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.052
GPT teacher head0.246
Teacher spread0.195 · 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

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Citations0
Published2020
Admission routes2
Has abstractyes

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