Optimization and Modeling of an Industrial-Scale Sulfuric Acid Plant under Uncertainty
Why this work is in the frame
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Bibliographic record
Abstract
The production of sulfuric acid is an important process because of its many applications and its use as a mitigation strategy for SO2. Sulfuric acid plant reactors have been the focus of many studies, and thus there has been very limited work in the literature that has analyzed complete sulfuric acid plants. In this work, the flowsheet for an industrial-scale sulfuric acid plant with scrubbing tower is presented. The model was developed in Aspen Plus V8.8, and it was validated using historical data from an actual industrial plant. A sensitivity analysis was carried out followed by optimization using two alternative objective functions: maximization of plant profitability or productivity. The optimization was extended to consider uncertainty in key operating and economic parameters. The results show that changes could be made in the current optimal operating condition of the plant to improve the annual profit of the process.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it