Recently, Sunpure released the "White Paper on Intelligent Solar Panel Cleaning in the Middle East" (hereinafter referred to as the "White Paper"). This White Paper comprehensively analyzed the cleaning pain points of solar power stations in the Middle East, systematically summarized robot solutions, core advantages, and practical experiences, and proposed industry-wide testing methods and standards for the efficiency and reliability of robots in power stations, providing a panoramic perspective on the application of solar panel cleaning robots. 7 billion euros of asset losses have forced the industry to seek breakthrough solutions.
The climate in the Middle East and North Africa region is arid with abundant sunlight, which presents great potential for the development of the photovoltaic industry. However, it is accompanied by severe dust loss challenges. According to the International Energy Agency, the dust loss rate of photovoltaic power stations in the Middle East reached 4%-5% in 2023, resulting in economic losses of 4 billion to 7 billion euros. Therefore, finding effective methods to reduce dust loss and increase power generation has become an issue that cannot be avoided in the industry's development.

From manual water washing cleaning, mechanical auxiliary cleaning, to adding anti-fouling coatings to components, participants in the Middle East photovoltaic industry have been continuously exploring cost-effective solutions to reduce dust loss. Eventually, the waterless intelligent cleaning robot stood out due to its convenience, economy, and efficiency, becoming the most favored preferred solution in the industry.

Software + hardware, integrated with the power station system as a whole
In response to the pain points of power stations in the Middle East, the Renjie intelligent cleaning system is capable of adapting to high-temperature, high-humidity and highly corrosive climate conditions in terms of hardware. In terms of software, it is equipped with an intelligent cloud platform, which can seamlessly collaborate with meteorological data, tracking supports, SCADA and other power station systems, maximizing the cleaning effect. It has become a standard configuration for photovoltaic power stations in the Middle East.

Three major evaluation criteria for measuring the reliability of cleaning robots
Currently, the standards for photovoltaic cleaning robots are still in the initial stage and require further research and clarification. This white paper, through calculation analysis and actual measurement data, provides an in-depth introduction to the commonly used performance measurement standards in the industry, and proposes indicators such as cleaning efficiency, product availability rate, and component compatibility.

This book is the first white paper on intelligent cleaning of photovoltaic systems in the industry, filling the research gap in intelligent cleaning of large-scale ground power stations. As a leader in the field of photovoltaic cleaning, Renjie Intelligent will continue to deepen the innovation of intelligent cleaning technology, bringing higher value to customers and promoting the green and sustainable development of the global photovoltaic industry.

Scan the code to obtain the original English version of the white paper: "Automated Robotic Cleaning System in the MENA Region – Challenges and Solutions".