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Record W3200289563 · doi:10.36106/paripex/9206532

A RESEARCH PAPER ON AIR COOLING USING PELTIER EFFECT

2021· article· en· W3200289563 on OpenAlexaff
Arjun Kumar, Neeraj Yadav, Vijaykant Pandey, Triloksingh P. Bhogal

Bibliographic record

VenuePARIPEX INDIAN JOURNAL OF RESEARCH · 2021
Typearticle
Languageen
FieldEngineering
TopicHeat Transfer and Optimization
Canadian institutionsSault College
Fundersnot available
KeywordsEnvironmental sciencePassive coolingWater coolingVolume (thermodynamics)Condenser (optics)Mechanical engineeringNuclear engineeringEngineeringMeteorologyThermalPhysicsOpticsThermodynamics

Abstract

fetched live from OpenAlex

The rise of temperature of the earth atmosphere has changed the engineering scenario, and to resolve such issues, significant changes are required to sustain the habitat. The main polluters are petroleum, coal power plant and airconditioner. This paper mainly focused on the cooling effect by eliminating hazardous fluid flow by the flow of electrons. As the home has, the energy consumption is in heating, Cooling, and lighting. The heating is used in cooking, warm bath water or utensil washing. Cooling chills the drinking water, space cooling, refrigerator and storing perishable items, and lighting is used to glow light at dark or in a darker area. The energy utilization for lighting has decreased after discovering LED (Light Emitting Diode), but other applications are huddling for energy feasibility in this direction. Peltier has another window to be found as it provides one side cooling, and another side offers heat. So, this spontaneous heating and cooling effect can serve domestic and commercial applications and become a new milestone act as energy efficient. This paper explains the Space cooling of fixed volume to analyze the experimental setup on based define parameter to obtain this time frame goal.

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)0.006
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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.669
Threshold uncertainty score0.986

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.063
GPT teacher head0.383
Teacher spread0.320 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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