Case Study: a leading solar power company boosts energy production and cuts cleaning costs with SparkCognition Ensemble

Increasing Solar Energy Production With an Ai Approach to Soiling Detection

The customer, a leading solar power company, faced the challenge of soiling, where dust and debris on solar panels reduce energy production and can cause expensive damage. Their existing methods for determining cleaning schedules, which relied on costly soiling stations, were inefficient and often inaccurate, leading to lost revenue and unnecessary maintenance expenses. They partnered with SparkCognition to find a better solution.

SparkCognition implemented its AI-powered Ensemble platform to optimize the solar panel cleaning process. The solution analyzed existing SCADA data, weather forecasts, and cost factors to determine the most profitable cleaning schedule, eliminating the need for soiling stations. This AI approach allowed the company to maximize energy production while minimizing cleaning costs, effectively restoring performance and extending the lifespan of their assets.