An extended evolutionary design method for the optimization of hydrogen networks with pressure constraint
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Bibliographic record
Abstract
In this work, the evolutionary method is extended to the work utility consumption and the capital cost of compressors incorporated with fresh hydrogen consumption in the optimization of hydrogen networks. The total cost matrix (TC matrix) is constructed with the cost of each possible match calculated. Further, the minimum total cost rule is proposed to compare different sources that can match the same sink. Based on this, the potential match matrix (P matrix) and the optimal match matrix (O matrix) can be determined sequentially. The fresh hydrogen, work utility consumption, total cost, and corresponding hydrogen distribution network can be obtained from the O matrix. The hydrogen network of a real refinery is studied to demonstrate the application of the extended evolutionary method. The results show that total cost determined by the extended method is 3.32 % less than that identified by the original evolutionary method, and the same as that calculated by the mathematical programming method.
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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 | 0.000 | 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