MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202611023976 A) filed by Swami Vivekanand Subharti University, Meerut, Uttar Pradesh, on Feb. 27, for 'a method, a system and an apparatus for ai-based predictive soiling detection and adaptive electrostatic cleaning of solar panels.'
Inventor(s) include Sandeep Kumar.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "The present disclosure relates to an artificial intelligence (AI)-based predictive soiling detection and adaptive cleaning system for photovoltaic panels. The system comprises a wind-energy harvesting module, an energy storage unit, a plurality of environmental and photovoltaic performance sensors, an electrodynamic screen (EDS), and a processor executing a predictive soiling intelligence engine. The engine performs environmental modeling using real-time and historical parameters including wind speed, particulate concentration, humidity, irradiance, and panel output data to forecast dust accumulation and efficiency degradation. Based on predicted soiling severity, the system dynamically determines cleaning timing, voltage amplitude, waveform pattern, frequency, and energy allocation for electrostatic dust removal. An adaptive waveform controller modulates alternating voltage signals supplied to the EDS to optimize particle detachment while minimizing energy consumption. The system operates autonomously using harvested wind energy without external grid dependency."
Disclaimer: Curated by HT Syndication.
