MétaCan
Menu
Back to cohort
Record W4226328117 · doi:10.1016/j.csite.2022.101989

Energy efficiency of a LED lighting system using a Peltier module thermal converter

2022· article· en· W4226328117 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.

fundA Canadian funder is recorded on the work.
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

VenueCase Studies in Thermal Engineering · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicImpact of Light on Environment and Health
Canadian institutionsnot available
FundersCampus FranceMinistère de l’Enseignement Supérieur et de la Recherche ScientifiqueMinistère de l'Enseignement supérieur, de la Recherche et de l'InnovationMinistère de l'Europe et des Affaires ÉtrangèresProvidence Health Care
KeywordsThermalThermoelectric effectLED lampLuminous efficacyThermal energyNuclear engineeringMaterials scienceEfficient energy useElectric potential energyOptoelectronicsEnergy (signal processing)Thermoelectric coolingPower (physics)Computer scienceEnvironmental scienceAutomotive engineeringEngineering physicsElectrical engineeringPhysicsOpticsThermodynamicsEngineeringComposite material

Abstract

fetched live from OpenAlex

With LED lighting systems, 70% of the energy consumed is lost in thermal form. It would be possible to increase the efficiency of the system by converting this wasted thermal energy into light. Some proposals using Peltier modules have been made. This article is interested in the limits of these solutions by evaluating the drop in the luminous efficiency of the LED system induced by the thermal effects generated by the addition of the Peltier module compared to the potential gain in terms of electrical power produced.

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 score0.130
Threshold uncertainty score0.680

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 science0.0000.000
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 head0.019
GPT teacher head0.244
Teacher spread0.225 · 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