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Record W1874023101 · doi:10.13034/jsst.v8i1.44

Thermoelectric Energy Harvesting Snow Pants: Turning Body Heat Into Usable Energy

2015· article· en· W1874023101 on OpenAlex

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Student Science and Technology · 2015
Typearticle
Languageen
FieldEngineering
TopicInnovative Energy Harvesting Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsSnowThermoelectric effectElectrical engineeringVoltageThermoelectric coolingEnergy (signal processing)Energy harvestingMechanical engineeringPower (physics)Materials scienceThermoelectric generatorPhysicsThermodynamicsEngineeringMeteorology

Abstract

fetched live from OpenAlex

Using thermoelectric coolers (TECs), energy generated from a temperature gradient can solve the problem of energy inaccessibility and provide energy readily. The purpose of this study was to create snow pants that could harness and convert body heat into energy. It was hypothesized that if there was more surface area in the insulation layers of the snow pants, then more heat will be collected. It was determined that the most effective and efficient way to harvest energy from body heat was by using TECs that were sewn into a pair of snow pants. Snow pants were chosen because the interior and exterior have drastically different temperatures that create a temperature gradient, which could ultimately increase the voltage output. Three prototypes were built and all produced enough voltage, which can be and will eventually be amplified. Once the voltage is amplified, an electronic device will have direct access to power within the pants’ pocket via a USB port. Thermoelectric energy presents an innovative and viable option as an energy solution. Using TECs, heat-harvesting backpacks, coolers, sleeping bags and more can be produced, making the world a more connected and greener place.Des refroidisseurs thermoélectriques (RTE) qui englobent « l’effet de Peltier » peuvent produire de l’énergie provenant d’un gradient de température et se posent comme solution au problème de l’inaccessibilité à l’énergie en fournissant de l’énergie partout et à tout moment. Le but de cette étude était de créer des pantalons de neige qui pourraient exploiter et convertir la chaleur corporelle à l’énergie. L’hypothèse étant que l’existence de plus de superficie dans les couches d’isolation des pantalons de neige aurait pour effet plus de chaleur rassemblée. Il a été déterminé que la façon la plus efficace de collecter de l’énergie de par la chaleur corporelle était en incorporant les RTEs par couture dans une paire de pantalons de neige. Les pantalons de neige ont été le vêtement de choix car la température mesuré à leur intérieur et à leur extérieur est dramatiquement différente ce qui génère ainsi un gradient de température qui pourrait ultimement augmenter la tension produite. Trois prototypes ont été fabriqué et tous ont produit de la tension, assez qui peut être et sera finalement amplifié. Une fois que la tension est amplifiée, un dispositif électronique aura accès direct au fonctionnement de l’intérieure de la poche de pantalons via un port USB. L’énergie thermoélectrique se positionne comme une solution d’énergie très novatrice et viable. En utilisant les RTE, la chaleur peut être récolté des sacs à dos, des refroidisseurs d’aliments, les sacs de couchage, tous possible à être produit faisant de ce monde un lieu plus interconnecté et plus sain pour l’environnement.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.241
Threshold uncertainty score0.656

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0000.001
Scholarly communication0.0000.001
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 head0.255
Teacher spread0.239 · 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