Performance Evaluation of Air-based Building Integrated Photovolta-ic/Thermal (BIPV/T) System with Multiple Inlets in a Cold Climate
Bibliographic record
Abstract
This paper presents an evaluation of the air-based building integrated photovoltaic/thermal (BIPV/T) system with multiple inlets for a cold climate for a solar house with a typical roof having 4-5 inlets. The experimental investigation of the BIPV/T prototypes with one and two air inlets in a full-scale solar simulator was conducted to develop the correlation for the convective heat transfer coefficient of the PV air channel with multiple inlets. The mathe-matical model for air-based BIPV/T systems with multiple inlets is proposed, based on which a computer program is developed. The computer program is verified with experi-mental results. With the computer program, the performance of an air-based BIPV/T system with multiple inlets for a cold climate for a solar house is evaluated. The results show that the thermal efficiency of the system can be increased by 7% with four air inlets compared to one inlet, given that the total air flow rates are the same. It is shown that the novel design of introducing multiple inlets in the BIPV/T air system enhances its energy performance.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".