Comparative Evaluation of a Conventional and Photovoltaic/Thermal-Integrated Solar Distiller under Iraqi Climatic Conditions
Bibliographic record
Abstract
The integration of photovoltaic/thermal (PV/T) collectors with solar distillation processes is explored in this investigation, which seeks to augment the efficiency of solar distillers.Development and experimental assessment of a novel solar system, employing a PV/T collector for performance enhancement of a solar distiller, were carried out in Kirkuk City, Iraq, located at 35.46˚N latitude and 44.38˚E longitude.Two experimental models were constructed: a conventional double-slope solar distiller served as the baseline, whereas the second model was a double-slope solar distiller integrated with a PV/T collector.Four water depths (3, 4, 7, and 10 cm) were investigated to ascertain their effects on the system's output and efficiency.It was observed that the integration of the solar distiller with the PV/T collector resulted in a significant enhancement in system efficiency, achieving 18.81%, compared to a 5.15% efficiency demonstrated by the conventional distiller.The study further confirmed the substantial influence of water depth in the basin on the performance of both the hybrid and traditional solar distillation systems.Optimal results were achieved with a water depth of 3 cm, yielding productivity of 1.55 and 0.447 litre/day, and efficiency of 18.81% and 5.15%, for the integrated and conventional systems, respectively.When the water depth was increased to 5 cm, the respective productivity decreased to 1.252 and 0.243 litre/day, with corresponding efficiency of 16.87% and 3.22%.
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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 | 0.000 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".