A new plant‐wide optimization method and its application to hydrometallurgy process
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This work aims to find an efficient and fast solution for the problem of plant‐wide optimization of a large‐scale industrial process. The process is composed of a series of unit processes with coupling relationships between them, which leads to the problem of optimizing a large number of design variables and constraints. Therefore, the solution to the optimization problem is time‐consuming and the global optimum is obtained with a low probability. To efficiently solve the problem, a new plant‐wide optimization method is developed that decomposes the complicated optimization problem into several easier solvable sub‐problems based on the coupling relationships between unit processes. Two metrics, constraints coupling and indices coupling, are defined in order to measure the extent of a coupling relationship between pairs of unit processes. Then, the global optimum is found by successively solving the sub‐problems. Finally, the hydrometallurgy process of a gold smelter is demonstrated to evaluate the performance of the proposed method.
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.
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 | 0.000 |
| 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 it