Predictive cleaning in solar farms, to maximize to energy production
Industry: Renewable energy
Site: Photovoltaic plant
Use Case: Prediction soiling panel
Region: Dubai – Middle East
Year: 2020
PROCESS DESCRIPTION
Solar farms can have several factors that influence the cleaning schedule, such as weather behavior, time of year, dirt, and other factors. Through this project, the objective is to evaluate the effect of these factors on the solar power plant, to generate a cleaning program that maximizes energy production, profits and avoids costs caused by unnecessary cleaning.
PROBLEM
We developed a preventive and predictive maintenance, increasing production efficiency and reducing cost
GOAL
The goal is to develop an artificial intelligence model to better know the degree of dirt on the panels, without the need for human intervention, and therefore optimize cleaning dates.
BENEFITS
Create a cleaning program that maximizes energy production and profits and avoids unnecessary cleaning costs.