MUMBAI, India, July 13 -- Intellectual Property India has published a patent application (202641084233 A) filed by Mrs. Vishnu Priya D; Dr. K. Shanmugasundaram; Khalid Shamim; Dr. Sandip Mane; Swapnil Bandu Ambekar; Dr Venkatramanan R; Nityanando Mahato; and V. Nirmalkumar on July 09, 2026, for Iot-Enabled Solar Water Heating System With Intelligent Thermal Storage Control.
Inventors include Mrs. Vishnu Priya D; Dr. K. Shanmugasundaram; Khalid Shamim; Dr. Sandip Mane; Swapnil Bandu Ambekar; Dr Venkatramanan R; Nityanando Mahato; and V. Nirmalkumar.
The application for the patent was published on July 10, 2026, under issue no. 28/2026.
Abstract: ABSTRACT IoT-Enabled Solar Water Heating System with Intelligent Thermal Storage Control The present invention discloses an Internet of Things (IoT)-enabled solar water heating system integrated with an intelligent thermal storage control mechanism for maximizing energy efficiency, ensuring uninterrupted hot water availability, and optimizing thermal energy utilization under varying environmental and consumption conditions. The proposed system comprises a network of high-precision sensors configured to continuously monitor solar irradiance, ambient temperature, collector temperature, storage tank temperature at multiple levels, water flow rate, pressure, weather conditions, and user demand patterns. The collected data are transmitted through secure wireless communication protocols to an intelligent control platform that employs artificial intelligence and predictive analytics to regulate water circulation pumps, motorized valves, auxiliary heating elements, and thermal storage operations in real time. The intelligent controller dynamically determines the optimal charging, stratification, and discharging of thermal energy within insulated storage tanks, thereby minimizing heat loss and improving overall system efficiency. Cloud-based data storage and remote monitoring enable users and maintenance personnel to supervise system performance, receive predictive maintenance alerts, and configure operational parameters through web and mobile applications. Machine learning algorithms continuously analyze historical operating data and weather forecasts to predict hot water demand and available solar energy, enabling proactive thermal energy management and reduced dependence on conventional electrical heating. The invention further incorporates fault detection, leak identification, freeze and overheating protection, adaptive energy scheduling, and performance diagnostics to enhance operational reliability and equipment lifespan. The integrated IoT architecture supports scalable deployment across residential, commercial, institutional, and industrial applications while contributing to reduced carbon emissions, lower energy costs, enhanced renewable energy utilization, and sustainable water heating through autonomous, intelligent, and data-driven thermal storage control.
Disclaimer: Curated by HT Syndication.
