Experimental Investigation of Soiling and Temperature Impact on PV Power Degradation: North East-Iraq as A Case Study
Bibliographic record
Abstract
The main objectives of this study are to assess the degradation of power, voltage and current for photovoltaic (PV) modules in predicting temperature and soiling based on five-month measurements. This study aimed to present simple experimental models for estimating the temperature and effects of dust on PV power generation. Results demonstrated that soiling short-circuit current loss underestimates the real soiling power loss by approximately 8%, and this value rises with the increase in dust density. The soiling rate during the week of dust deposition was 0.3% per day and during the final week was 0.15% per day. Results indicate that the polynomial model from the second degree is more accurate than the linear and power models for evaluating the influence of dust on PV systems in the case study. The results suggest that such analysis is required to arrive at a realistic estimation of the best cleaning time in PV power plants.
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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 | 0.001 |
| 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".