MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641076900 A) filed by Mohan Babu University on June 22, 2026, for Neural Network- Based Active Cooling System With Iot Monitoring And Control For Lcpv Silicon Solar Cells.
Inventors include Dr. N. Sudhakar Reddy; Mr. M. Abhishek; Ms. K. Amulya Royal; Mr. P. Durga Prasad; and Mr. P. Uma Mahesh.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: An active cooling system based on neural networks with IoT monitoring and control is proposed in order to optimize the performance of Low Concentrating Photovoltaic (LCPV) silicon solar cells through efficient management of their operating temperature. The neural network adjusts cooling strategies by considering real-time parameters like solar irradiance, cell temperature, and target operating conditions in order to make smart adjustments to pump or fan speed such that cooling efficiency is optimally balanced against energy utilization. The active cooling device, in the form of liquid- or air-based systems, removes heat in excess and avoids heat-related efficiency losses. Supporting this, IoT-supported sensors and controllers maintain uninterrupted data capture and cloud- based analytics, enabling remote monitoring, predictive information, and real-time control of cooling operation. This integrated system not only enhances overall energy efficiency but also maximizes power output, minimizes thermal stress, and provides reliable, remotely controllable operation, thus increasing the lifespan and productivity of LCPV solar systems. accident occurs. The ESP32 is responsible for handling sensor data and facilitating wireless connectivity for alerts sent to mobile devices. The suggested solution is affordable, dependable, and extensible for sophisticated Internet of Things (IoT)-based car safety applications.
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