Thermodynamically‐based response time as controllability indicator in heat exchanger networks
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
Abstract Recently, research and development has focused on how to integrate process design and process control, considering that the most outstanding process design does not always result in the best dynamic performance, involving plant controllability. A steady‐state controllability and resiliency analysis provides useful information for the assessment of heat exchanger networks (HEN) and requires less work than the dynamic analysis. In the interests of obtaining the best balance between process integration and controllability, a thermodynamic analysis from the dissipative point of view can be a starting point. This paper presents a simultaneous approach for finding controllability and economic goals in early stages of process design. An index based on response time is obtained, which is a controllability measure of the system. It is applied to a HEN and the results obtained are compared with known controllability and resiliency measures tools on steady state, showing consistency. The proposed methodology serves as a starting point for controllability evaluation, making it possible to relate the stages of process control and design.
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