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Record W3034741473 · doi:10.18280/ijdne.150302

Thermo-Exergetic Assessment of the Steam Boilers Used in a Cuban Thermoelectric Facility

2020· article· en· W3034741473 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.

venuePublished in a venue whose home country is Canada.
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

VenueInternational Journal of Design & Nature and Ecodynamics · 2020
Typearticle
Languageen
FieldEngineering
TopicAdvanced Control Systems Optimization
Canadian institutionsnot available
Fundersnot available
KeywordsNuclear engineeringThermoelectric effectEnvironmental scienceEngineeringWaste managementMechanical engineeringThermodynamicsPhysics

Abstract

fetched live from OpenAlex

In this work, was made a thermo-exergy evaluation of four steam boilers that are used in the thermoelectric power plant belong to a Cuban productive company, which, have not been sufficiently studied from the energy point of view. The methodology for the estimation of the thermal and exergy efficiency values of these facilities is established and systematized in an algorithm. For this purpose, in this paper the GOST method is used in the assess evaluation of the steam boilers (direct and indirect method). The final results show a high correspondence between the gross thermal efficiency values obtained by the direct and indirect methods, their difference does not exceed 2.7% in the 87.5% of each variant calculated and the average value was 1.89%. The use of the thermal energy and the exergy in the boilers compute values near of 90.14 and 46.42% respectively. The application of proposal procedure shows a favorable behavior of the facilities object of study in this paper.

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: none
Teacher disagreement score0.558
Threshold uncertainty score0.301

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 head0.008
GPT teacher head0.234
Teacher spread0.226 · 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