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Record W4379791405 · doi:10.4006/0836-1398-36.2.190

Complete power cycle exhaust heat regeneration and the second law of thermodynamics

2023· article· en· W4379791405 on OpenAlexvenueno aff
David Van Den Einde

Bibliographic record

VenuePhysics Essays · 2023
Typearticle
Languageen
FieldEngineering
TopicThermodynamic and Exergetic Analyses of Power and Cooling Systems
Canadian institutionsnot available
Fundersnot available
KeywordsThermodynamicsEnthalpySecond law of thermodynamicsDissolutionWorking fluidWork (physics)Thermodynamic cycleSolventChemistryMaterials sciencePhysicsPhysical chemistryOrganic chemistry

Abstract

fetched live from OpenAlex

A closed condensing power cycle using tetrafluoromethane or R14 and a solid solute as its working fluid is described. The inclusion of a solid solute that yields a positive excess enthalpy of solution with the R14 creates a potential for complete exhaust heat regeneration. The solution reaction provides a temporary thermal reservoir for the cycle's low temperature exhaust heat until that energy is regenerated as heat by retrograde solubility during the cycle's high temperature and low density expansion phase. A slow solute dissolution rate in the solvent's low density state near the cycle's high temperature enables the cycle to utilize all of the regenerated exhaust heat either as work output or by exhausting surplus heat at a second temperature level. The cycle's thermodynamic path establishes solvent property reference points that can be used to determine the maximum positive excess enthalpies of solution required for a solvent to accomplish total exhaust heat regeneration when used as the cycle's working fluid.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.009
GPT teacher head0.207
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations3
Published2023
Admission routes1
Has abstractyes

Explore more

Same venuePhysics EssaysSame topicThermodynamic and Exergetic Analyses of Power and Cooling SystemsFrench-language works237,207