SYNSIM-a simulation model of a cogeneration plant, for stability analysis and augmentation
Bibliographic record
Abstract
In 1994, several Syncrude Canada Ltd. and University of Alberta personnel began the development of a computer simulation model of the Syncrude Utilities steam and electrical plant. Motivation arose out of a concern regarding dynamic stability of the steam header system under upset conditions such as tie line or turbine trips. The model was developed from physical principles and includes all boilers, steam headers, letdowns, turbogenerators and electrical system, and the feedwater system. This large nonlinear simulation model (SYNSIM) has subsequently been used to identify sets of lower-order transfer functions that provide linear multivariable system approximations to the plant under various operating conditions and balances. Using these sets of linear models, well-known methods for designing optimal multivariable controllers were used to design a stability augmentation system for the plant. Its purpose is to improve the stability margins for the oscillatory response modes of the current plant, without replacing or interfering with the existing control system. The augmented system has been tested using SYNSIM, with encouraging results.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".