A Controllability Index for Heat Exchanger Networks
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Bibliographic record
Abstract
Heat exchanger networks are widely employed in the chemical processing industries to recover energy, resulting in reduced operating costs. Several methodologies can be found in the literature for the optimal design of heat exchanger networks. Typical optimal criteria are maximum energy recovery and minimum heat-transfer area. However, the heat integration of process streams can lead to process structures that are difficult to control. In this work, a heat exchanger network controllability index is proposed as a measure of heat exchanger network controllability. This controllability index can be calculated easily, making it quite appropriate for use at the conceptual design stage of a chemical process. A case study is presented in which the controllability index is used to compare the controllability characteristics of different networks and also to identify the tradeoffs between controllability and heat integration.
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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 | 0.001 |
| 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 | 0.001 |
| 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