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Record W1969106567 · doi:10.1115/power2010-27056

Oxyfuel PFBC-CC Power Generation Process

2010· article· en· W1969106567 on OpenAlexaff
Shimin Deng, Rory Hynes

Bibliographic record

VenueASME 2010 Power Conference · 2010
Typearticle
Languageen
FieldEngineering
TopicThermodynamic and Exergetic Analyses of Power and Cooling Systems
Canadian institutionsHatch (Canada)
Fundersnot available
KeywordsStack (abstract data type)Process engineeringProcess (computing)Electricity generationEnvironmental scienceThermal efficiencyComputer scienceCombined cyclePower (physics)Gas turbinesNuclear engineeringAutomotive engineeringEngineeringMechanical engineeringThermodynamicsChemistry

Abstract

fetched live from OpenAlex

In this paper, a new power generation process based on oxyfuel and PFBC-CC is proposed, which has advantages in thermal performance, emissions and footprint. Five cases in total are modeled by using Aspen Plus™ and GateCycle™. The simulation indicates that the efficiency of the new process is 4% higher than existing ambient oxyfuel power generation process. The performance of the base case is compared with two existing oxyfuel cases to identify the potentials of the new process. Thermodynamic benefit of the new process is reasonably explained by introducing a concept of “non-stack combined cycle”. The waste heat recovery from gas turbine exhaust gas is discussed and compared. In addition, impacts on performance of key parameters are investigated.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.772
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)0.0010.001

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 head0.011
GPT teacher head0.226
Teacher spread0.215 · 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.

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

Citations0
Published2010
Admission routes1
Has abstractyes

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