Performance of Photovoltaic Thermal Technology Using V-Absorber with Exergy, Improvement Potential and Sustainability Index Analysis
Bibliographic record
Abstract
This research aims to test the PVT system's performance using V-Absorber model.The PVT technology using V-Absorber is conducted using a mathematical approach.This mathematical or theoretical approach aims to analyse suitable variables in predicting the system's optimal performance.The analysis of this system is the analysis of exergy and the most important is the analysis of the sustainability index and improvement potential.The variable values of sunlight intensity are 385 W/m 2 , 575 W/m 2 and 815 W/m 2 .At the same time, the flow air is from 0.01 kg/s to 0.10 kg/s.The analysis results show that the position of the flow air of 0.06 kg/s is the maximum value for exergy using V-Absorber.The optimum sustainability index's value was 2.012 at flow air of 0.06 kg/s with sunlight intensity of 815 W/m 2 .For the improvement potential, the optimum yield was 329.24 Watt for flow air of 0.10 kg/s.The results of the sustainability index and improvement potential analysis show that the effect of the flow air and sunlight intensity was very significant.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".