One critical aspect of O&M of any PV plant is frequently overlooked: the solar panels cleaning. When setting up a fixed number of manual cleaning cycles per year, crucial factors are usually not taken into consideration. For example, the losses in production that we will be accounting for, the flexibility to react to any singular even and optimizing the cost of having the plant in perfect conditions along its whole lifetime.

Introducing robotic dry-cleaning can tackle the risks of meteorological events, limited usage of available water for cleaning, and overall suboptimal performance of the plant. Not in all cases the investment will be justified, but when it is, robotic cleaning is the cost-effective solution to maximize the performance of solar assets, at barely any cost.

Join our upcoming webinar where we will delve into the key design parameters that PV project designers need to consider for achieving long-term system bankability:

• Explore the integration of trackers and modules with autonomous robotic cleaning solutions, enabling the attainment of maximum site performance
• Understand the importance of effective O&M planning and how it enhances overall system profitability while reducing long-term costs
• Discover how big data & algorithms can leverage data on geographical location, weather patterns, shading analysis, and energy consumption patterns to optimize the design and layout of your PV system

Speakers:

• José Nieto: Sales director at Ecoppia
• Belén Gallego: CEO at ATA Insights