Demystification of the Gouy-Stodola theorem of thermodynamics for closed systems
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Bibliographic record
Abstract
In the analysis and design of a process from a thermodynamics perspective, the Gouy-Stodola theorem of thermodynamics is very important. It provides a means to improve the efficiency of a process by quantification and minimization of the irreversibilities in the process. According to this theorem, the work lost or the exergy destroyed in a process is directly proportional to the amount of entropy generated in the process. Surprisingly, this theorem has received little attention in the engineering thermodynamics courses taught at the undergraduate level. The textbooks on thermodynamics rarely mention this theorem. The exact mathematical form of this theorem is not clear and the conditions under which this theorem is applicable are also not clearly stated in the existing literature. In this article, a complete analysis of the Gouy-Stodola theorem is presented for closed systems and its limitations are pointed out.
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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 | 0.001 |
| 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 | 0.001 | 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