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Record W3126478590 · doi:10.1115/1.4049194

Operational Stability of a Hydropower Plant With a Pipe-Shaped Air-Cushion Surge Chamber

2020· article· en· W3126478590 on OpenAlexaff
Tingyu Xu, Jian Zhang, Sheng Chen, Wei He, Xiaodong Yu, David Z. Zhu

Bibliographic record

VenueJournal of Pressure Vessel Technology · 2020
Typearticle
Languageen
FieldEngineering
TopicWater Systems and Optimization
Canadian institutionsUniversity of Alberta
FundersNational Natural Science Foundation of China
KeywordsHydropowerVolume (thermodynamics)SurgeEnvironmental scienceMarine engineeringEngineeringElectrical engineeringPhysics

Abstract

fetched live from OpenAlex

Abstract This paper theoretically analyzed the design and operating parameters of a pipe-shaped air-cushion surge chamber (PS-ACSC). A mathematical model for a small load disturbance (SLD) in a hydropower plant containing the PS-ACSC was established to analyze the effects of the sensitivity of its initial horizontal area and the air–water volume ratio on the operational stability of the plant. The results showed that the PS-ACSC should occupy a critical horizontal area, and its initial water level and the initial air–water volume ratio should be within a certain range to ensure its own stable operation as well as that of the turbine units. The results of a case study showed that a hydropower plant containing the PS-ACSC is most stable when the initial air–water volume ratio ranges from 2.90:1 to 6.68:1. In addition, a hydropower plant containing the PS-ACSC delivers better performance than a horseshoe-shaped ACSC under the same conditions. This study contributes to the design and operational control of hydropower plants containing the PS-ACSC.

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 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 score0.152
Threshold uncertainty score0.358

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 head0.188
Teacher spread0.179 · 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.

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

Citations2
Published2020
Admission routes1
Has abstractyes

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