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Record W7062041696

Simulation of integrated hydro-electric & thermal plant systems using GPSSV

2010· article· en· W7062041696 on OpenAlexfundno aff

Bibliographic record

VenuecIRcle (University of British Columbia) · 2010
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdaptive optics and wavefront sensing
Canadian institutionsnot available
FundersBC HydroHarvard University
KeywordsNucleofectionDysgeusiaDiafiltrationLiquationProteogenomicsTSG101
DOInot available

Abstract

fetched live from OpenAlex

This thesis demonstrates the utility of computer simulation in the modelling of hydro-electric and thermal plant operations. It focuses on models of selected facilities in the British Columbia Hydro and Power Authority's integrated system. Four different simulation models are developed. Each successive model develops a variation of the basic program to accommodate the different hydro-electric and thermal plant configurations. When more than one energy producing facility is included in a particular simulation, they are operated on a coordinated basis. The purpose of the models is to assess the energy producing capabilities of alternative configurations. Two types of experiments are performed on the models: model configuration and operating coordinating policy.
\nIn terms of the hydro-electric facilities, the scope of the models extends from the simulation of river inflows to reservoirs, through the energy generation phase, to the resultant down river flow. Generally, thermal plant operation is a function of reservoir status. The IBM GPSSV computer language is used in the modelling process.
\nBy considering the simulation output over the two types of experiments, it is possible to draw conclusions concerning the ability of certain facility configurations to meet specified energy demands. These conclusions can facilitate B.C. Hydro in the management of its integrated system with respect to planning the construction of new facilities and establishing coordinating-operating policies. Additionally, the value of using GPSSV in the modelling process is discussed.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.426
Threshold uncertainty score0.876

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 head0.012
GPT teacher head0.190
Teacher spread0.177 · 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

Citations0
Published2010
Admission routes1
Has abstractyes

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