Solar Photovoltaic Development in West Africa Will Face Million-Ton Waste Challenges, and Off-Grid Systems Will Dominate
Bibliographic record
Abstract
Solar photovoltaic (PV), especially off-grid systems, is a low-hanging fruit option among various renewable energy technology choices to address universal energy access, energy security, and climate challenges for vulnerable regions like West Africa. West Africa dominates in the uptake of solar PV solutions, while little attention has been paid to the potential PV waste generation. In this study, we developed a technology-specific, prospective material flow analysis model to investigate material stocks and flows of both on-grid and off-grid solar PV systems for 15 West African countries up to 2050. We show that the cumulative solar PV waste generation ranges from 2.3 to 7.8 million tons by 2050 in West Africa under different scenarios, around 70% of which comes from off-grid PV systems. The potential secondary materials supply ranges from 213 to 704 kilotons, which have potential economic value amounting to 143-475 million dollars or material equivalent to produce 6-19 GW of solar PV capacity. These results call for urgent policy attention, technology development, and infrastructure investment for future PV waste management and highlight the significance of addressing off-grid PV waste in Africa.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.002 |
| 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".