From Detection to Action:

How Clir's AI Helped Recover $250K With Anti-Reflective Coating Insights

A solar client was using Clir to monitor its solar portfolio and quickly identified performance degradation on one of its farm, without requiring the client’s team to manually analyze. Using data from over 5,400 North American solar farms, Clir pinpointed that the drop in output was due to age-related anti-reflective coating degradation, a common loss mode that typically appears eight to ten years after commissioning.

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