Every solar lighting project is built on assumptions. When these assumptions are unrealistic or left unexamined, failure becomes a matter of time rather than chance.
Designs based on average solar availability ignore worst-case scenarios. Systems fail during extended cloudy periods, winter seasons, or unexpected weather patterns.
Many calculations assume stable battery capacity. In reality, ag
ing reduces usable energy year by year, narrowing system margins.
Fixed-output assumptions prioritize brightness over survivability. Without adaptive behavior, systems exhaust energy reserves instead of adjusting gracefully.
Real-world installations vary. Misalignment, shading, and environmental exposure introduce deviations that idealized models do not account for.
Projects often assume occasional maintenance will occur when needed. In practice, delays are common, and systems must tolerate neglect without catastrophic failure.
Solar lighting projects fail when assumptions remain invisible.
Reliability begins with making assumptions explicit—and conservative.