Enhancing Solar Power Plant Efficiency in Arid Regions through a Waterless, Smart Cleaning Robot

In the pursuit of sustainable energy solutions, solar power plants, particularly in dry and semi-dry areas, face the challenge of dust accumulation on panels, significantly reducing efficiency. Traditional cleaning methods, often reliant on scarce water resources, present an environmental paradox in these water-stressed regions. Our innovative approach involves the development of a smart clearing robot that addresses this issue effectively and sustainably. This robot utilises advanced digital technologies to both forecast power plant performance and clean solar panels without water usage. Incorporating elements of IoT, Machine Learning, and predictive analytics, the robot provides valuable insights into the plant's operational status while maintaining optimal panel cleanliness through a waterless cleaning mechanism. This approach not only conserves precious water resources but also enhances the overall efficiency and lifespan of solar panels. Our solution represents a practical application of the Water-Energy-Food (WEF) Nexus, demonstrating how digital innovation can overcome specific challenges while contributing to the broader goals of sustainable development, particularly UN SDGs 6 (Clean Water and Sanitation), 7 (Affordable and Clean Energy), and 13 (Climate Action). This abstract proposes a pioneering step in utilising digital technology for environmental sustainability, showcasing a synergistic approach to addressing the intertwined challenges of water scarcity and energy efficiency in solar power generation.