A Quasi Steady State Model for Adsorption Cooling Systems: Automotive Applications
Bibliographic record
Abstract
In this study, an analytical quasi-steady state thermodynamic cycle of an adsorption cooling system (ACS) for automotive applications is presented which allows evaluating impact of different parameters on the ACS performance as well as effects of various working pairs: zeolite 13X/water, zeolite 4A/water and activated carbon-35/methanol. A comprehensive parametric study has been performed to investigate effects of temperature variation of the evaporator and condenser as well as the ICE exhaust gas temperature on the COP, cooling load produced by the evaporator and entropy generation of ACS with (or without) the heat recovery cycle (HRC). The results show that using the heat recovery cycle in the ACS can increase the COP of system up to 41% for zeolite 13X/water pair at the base-line condition. In addition, the parametric study shows that increasing regeneration and evaporation temperature increase the COP and entropy generation of ACS while increasing condensation temperature has negative effect on the COP and entropy generation. Finally, based on our modeling results, the ACS with the heat recovery cycle (HRC) and zeolite 13X/water pair are proposed for the automotive A/C applications.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".