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The proposed system focuses on efficient renewable energy storage and battery management by integrating a Wireless Sensor Network (WSN) based monitoring approach. In renewable energy systems, proper storage and management of energy are essential to ensure stable and reliable power delivery. In this system, a battery is usedtostorethegeneratedrenewableenergy and distribute it effectively to connected components, maintaining continuous and stable system operation.
An ESP32 microcontroller acts as the central controller of the system. It processes andmanagesthedatareceivedfrommultiple sensors installed in the battery monitoring unit. A voltage sensor is used to continuously monitor the battery voltage level, helping to detect overvoltage or undervoltageconditionsthatmayaffect
battery life. A temperature sensor is also integrated to measure the batterytemperature in degrees Celsius. Monitoring battery temperature is important to prevent overheating, which can reduce battery efficiency and cause potential safety risks.
To regulate battery temperature, a DC fan controlled through a motor driver is incorporated in the system. When the temperature exceeds the predefined limit,the fan automatically increases its cooling speed to maintain a safe operating temperature. Additionally, a buzzer is included to provide immediate warning alerts when abnormal conditions such as excessive heat or voltage fluctuations occur.
For user interaction and monitoring, anLCD display is used to continuously show real-timesensorvaluesincludingvoltage
and temperature. Furthermore, the system integrates IoT technology using the Blynk platform, which enables wireless transmission of sensor data and real-time notifications to authorized users. The WSN- based communication ensures energy- efficient data transfer, reliable monitoring, and improved safety in renewable energy battery storage systems.
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Cite Article:
"OPTIMIZED BASED ENERGY-EFFICIENT CLUSTERING PROTOCOLS FOR WSN", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 4, page no.c210-c217, April-2026, Available :http://www.ijrti.org/papers/IJRTI2604298.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator