The Influence of Tio2 Nanoparticles and Libr on the Exergy Efficiency of Ammonia Absorption Refrigeration System under Different Working Temperatures
Bibliographic record
Abstract
The addition of TiO 2 nanoparticles and LiBr can increase the coefficient of performance(COP) of the ammonia water absorption, but the exergy efficiency has not been investigated. Therefore, this paper studied the influence of TiO 2 nanoparticles and LiBr on the exergy efficiency under different working temperatures. The results show that the addition of TiO 2 nanoparticles or LiBr can improve the ECOP of the ammonia-water absorption refrigeration system. There is optimal T gen , T eva for the NH 3 -H 2 O-LiBr-TiO 2 working fluid, which is 110, -13. In comparison, the ECOP decreases with the T cw increases. The maximum value of ECOP in this paper is 0.266 when the T eva , T gen , and T cw are -13, 110, and 28. Generally, applying NH 3 -H 2 O -LiBr -TiO 2 nanofluid working fluid can efficiently improve the ECOP of the absorption refrigeration system.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".