Performance enhancement of solar air heater using V baffles
Bibliographic record
Abstract
The solar air heater (SAH) is typically used for drying industrial and agricultural products; however, its application in high-temperature processes is limited due to low thermal efficiency. This study aims to augment the performance of SAH by introducing V-shaped baffles with three different perforation configurations: square, rectangular, and a combination of both. To determine which of the three V-baffle designs had the best perforation, CFD simulations were conducted. The final perforation was selected based on the CFD data, and the system was then constructed for experimental study. CFD results show that using a V-shaped baffle with a square and rectangular perforation combination provides the best output temperature than the other two designs. Using this perforation, study were performed at varying mass flow rates such as 0.0230, 0.0307, and 0.0384 kg/s. The results showed that the average output air temperature of 47, 51 and 52 °C while using the V baffle with combined perforation and the average useful power obtained by the proposed SAH is 244.35 W, 448.17 W, and 585.37 W, respectively, for the given flow rates. The maximum increase in useful power was observed to be 26%, 29%, and 28% higher than conventional SAH. Also, this proposed SAH has 10%, 19%, and 24% less average top surface heat loss than conventional SAH and has 5%, 13%, and 14% higher efficiency than conventional SAH for the given flow rates. The environmental and economic study also reveals that the proposed design has 12.36% less payback time and 12.6% higher production factor than conventional SAH.
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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 | 0.001 | 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".