Leveraging potential of large scale mixed-use green certified projects for adoption of Building Integrated Photovoltaics (BIPV) in the Global South
Bibliographic record
Abstract
The shift in urban electricity consumption from industry to high rise commercial buildings has created both a challenge and a significant opportunity for adoption of photovoltaics into building envelopes that can support this demand through decentralized renewable energy generation. Among others, the most promising solutions is Building Integrated Photovoltaics (BIPV). BIPV embed solar technologies directly into the fabric of buildings, particularly facades and glazing, turning passive surfaces into active energy generators. BIPV not only addresses the spatial limitations of traditional rooftop solar in high-density cities, but also enhances architectural value, thermal performance, and long-term energy resilience. Despite global advancements, the adoption of BIPV in the Global South remains limited due to fragmented policy support, lack of awareness, and minimal integration into large-scale urban planning efforts. However, the rise of mixed-use, green-certified developments and modular construction methods provides a unique and scalable opportunity to mainstream BIPV from the design stage onward. This paper explores the current global status of BIPV, highlights the untapped potential of BIPV adoption in the context of large-scale projects in the Global South, and examines the role of green building certification systems in enabling or hindering adoption. It also outlines the multifaceted challenges—technological, regulatory, and social; and identifies the need for a holistic framework for integrating BIPV within future-ready, high-performance buildings across rapidly urbanizing tropical regions.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".