MétaCan
Menu
Back to cohort
Record W4248539372 · doi:10.5383/ijtee.08.02.003

Thermoeconomic Analysis of Multi-Stage Thermoelectric Cooler

2014· article· en· W4248539372 on OpenAlexvenueno aff
Sudhanshu Sharma, Varun Dwivedi, Shweta Pandit

Bibliographic record

VenueInternational Journal of Thermal and Environmental Engineering · 2014
Typearticle
Languageen
FieldMaterials Science
TopicAdvanced Thermoelectric Materials and Devices
Canadian institutionsnot available
Fundersnot available
KeywordsExergyTECThermoelectric coolingThermodynamicsRefrigerationThermoelectric effectExergy efficiencyEnvironmental scienceMaterials sciencePhysics

Abstract

fetched live from OpenAlex

In this paper a two stage thermoelectric cooler which has total 50 elements out of which 30 elements are on hotter side and 20 elements are on colder side, analyzed on the basis of the principles of thermoeconomics. Exergy destruction has been used to calculate the second law efficiency. Then the exergy has been coupled with unit cost of exergy to calculate the cost of refrigeration produced. The model has been analyzed for a particular life cycle of thermoelectric cooler (TEC) where the operating conditions change with the variation in cold side and hot side temperatures. Two cases have been considered. In first case the cold side temperature is varied with hot side temperature maintained as constant. In second case hot side temperature is varied with cold side temperature maintained as constant. The analysis shows that on the basis of Thermo economic the first case is favorable but the comparison on the basis of coefficient of performance, rate of refrigeration and second law efficiency show that the second case is favorable.

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)0.000
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.250
Threshold uncertainty score0.629

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)0.0010.000

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 head0.007
GPT teacher head0.214
Teacher spread0.207 · 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
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Thermal and Environmental EngineeringSame topicAdvanced Thermoelectric Materials and DevicesFrench-language works237,207