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Record W2092795538 · doi:10.1109/iceets.2013.6533348

Thermodynamic and heat transfer studies on solar Stirling engine

2013· article· en· W2092795538 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced Thermodynamic Systems and Engines
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsStirling engineWorking fluidNuclear engineeringThermodynamicsHeat transferHeliumMaterials scienceOperating temperatureMechanical engineeringEnvironmental scienceMechanicsPhysicsEngineeringAtomic physics

Abstract

fetched live from OpenAlex

A solar Stirling engine has been considered for thermodynamic and heat transfer studies and analyzed its performance under the solar radiation conditions at the VIT University, Vellore. The performance of plant has been compared with five working gases to select a suitable working fluid for the Stirling engine. As per the results, helium has been selected as working gas to develop the performance characteristics. The influence of design conditions i.e. receiver gas temperature, engine maximum pressure and concentration ratio on performance of the plant has been developed. The receiver's conduction, convection and radiation losses are predicted to find the solar concentrator receiver's efficiency. The results show that the optimum receiver gas temperature is function of type working fluid, engine maximum pressure and concentration ratio. The plant efficiency and specific power output are 10% and 2.7 kW/liter of helium at 540 W/m <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> of solar direct normal irradiation (DNI).

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 score0.243
Threshold uncertainty score0.547

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 head0.010
GPT teacher head0.208
Teacher spread0.198 · 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