August 25, 2025, Beijing—As the expansion of PV power stations in global arid regions accelerates, the contradiction of power generation losses caused by traditional manual cleaning has become increasingly prominent. According to the latest data from the International Renewable Energy Agency (IRENA), the average annual efficiency degradation of PV power stations due to dust accumulation has reached 12%-25%. Against this backdrop, the power station upgrade automatic solar PV cleaning system solution →https://todos-china.com/power-station-upgrade-automatic-solar-pv-cleaning-system-solution/ has been deployed on a large scale in regions such as the Middle East and Chile, redefining industry efficiency standards through an intelligent operations and maintenance model with zero human intervention.

Technological Breakthroughs Drive Enhanced Benefits
The system relies on millimeter-wave radar and AI path planning algorithms to achieve autonomous obstacle avoidance and water-free cleaning in complex terrains. Its built-in PV charging module supports six hours of continuous operation at night, completely eliminating reliance on external power sources. Notably, the intelligent management platform—utilizing LORA IoT communication—generates cleaning reports in real time and reduces fault self-diagnosis response time to within 15 minutes, improving efficiency by four times compared to manual inspections. Compared to traditional high-pressure water cleaning, this solution can save over 3.8 million tons of water annually for a 100-megawatt power station while eliminating safety risks associated with (high-altitude operations).

Empirical Data Validates the Necessity of Transformation
An operational case study published by MIT in 2025 revealed that a 600MW power station in Saudi Arabia using fully automated cleaning achieved a 22.5% year-on-year increase in power generation efficiency, with cleaning cycles reduced to one-fifth of traditional methods. Data from the world’s largest floating PV project—the 150MW power station in Huainan, Anhui—demonstrates that after the system’s deployment, the average annual O&M costs decreased by 79%, and peak power generation efficiency stabilized at 93.2%.

The Director of the Low-Carbon Transition Center at the Energy Foundation stated, “Automated cleaning is not merely a technological iteration but a core driver for the PV industry to achieve zero-carbon operations and maintenance throughout its entire lifecycle.” According to the "Global PV Operations and Maintenance White Paper (2025 Edition)," the market penetration rate of such solutions is expected to exceed 45% by 2028, becoming standard infrastructure for newly built power stations.

Note: Data cited from IRENA’s 2025 Annual Report and IEEE PV Systems Conference papers.