Colored Building‐Integrated Photovoltaic/Thermal (BIPV/T) Roof Systems: Experimental Testing and Modelling Insights
Bibliographic record
Abstract
This paper investigates the design and performance of an air‐based building‐integrated photovoltaic/thermal (BIPV/T) system for sloped roof applications using colored PV modules. Two colors (terracotta and gray) are evaluated through experimental testing under controlled laboratory conditions to assess the impact of surface color on system behavior. Mechanical ventilation effectively reduced PV temperature by up to 13°C (1.49 m/s channel air velocity), with terracotta modules exhibiting slightly higher temperatures mainly due to color reflectance differences. Thermal efficiencies ranged between 13.9–28.6% for the terracotta and 12.5–27.3% for the gray prototype. While the proposed system achieved thermal efficiencies comparable to those reported in previous studies, commonly used convective heat transfer correlations failed to capture the behavior of the system accurately. A new empirical correlation tailored to the examined setup is introduced. This work contributes to the advancement of knowledge on colored BIPV/T systems by demonstrating that colored PV modules integrated into mechanically ventilated roof assemblies can support significant heat recovery while providing architectural design flexibility. By enabling both electricity generation and thermal recovery, colored BIPV/T systems enhance the energy efficiency and perceived economic value of solar‐integrated building envelopes, supporting sustainable building design and low‐carbon construction practices.
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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 | 0.000 | 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".