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Record W4298375414 · doi:10.13052/dgaej2156-3306.2343

Thermodynamic Simulation of A Combined Cycle Power Plant At Part-Load Operation

2008· article· en· W4298375414 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

VenueDistributed Generation & Alternative Energy Journal · 2008
Typearticle
Languageen
FieldEngineering
TopicAdvanced Power Generation Technologies
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsCombined cycleSteam turbineThermal power stationSensitivity (control systems)Power stationTurbinePower (physics)Thermal efficiencyGas turbinesEnvironmental scienceControl theory (sociology)Nuclear engineeringEngineeringComputer scienceThermodynamicsMechanical engineeringChemistryWaste managementPhysicsElectrical engineering

Abstract

fetched live from OpenAlex

A 355 MW combined-cycle power plant has been modeled andsimulated at part loads. Results of a sensitivity analysis of the effect ofhigh pressure (HP) on the combined-cycle performance are presented.The best combination of process parameters of steam leaving the steamgenerator that will give optimum performance of the combined-cyclepower plant were determined at part load operation. Results for theoptimum values of thermal efficiency and power output, together withvalues of the decision variables, are presented. At part loads, the plantdemands lower values of HP pressure to get a suitable dry steam at thesteam turbine exit. The combined cycle gives higher power output withhigh efficiency at full load comparatively at partial loads.

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 categoriesMeta-epidemiology (narrow)
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 score0.503
Threshold uncertainty score1.000

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 head0.018
GPT teacher head0.229
Teacher spread0.211 · 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