Design and implementation of data logging system to Lapland UAS renewable energy laboratory
Fuksa, Tobias (2025)
2025
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2025051913212
https://urn.fi/URN:NBN:fi:amk-2025051913212
Tiivistelmä
This thesis presents the design and implementation of a data logging system for the renewable energy laboratory at Lapland University of Applied Sciences (UAS). The primary objective was to develop a user-friendly, wireless solution for measuring, transmitting and storing real-time voltage and current data from renewable energy sources such as solar panels and wind turbines. The system was built around an Arduino GIGA R1 WiFi microcontroller, using INA226 voltage sensors and ACS712 current sensors, with data transmitted via Bluetooth Low Energy (BLE) to a personal computer. A Python script on the host PC receives, processes and logs the data in a structured Comma-separated Values (CSV) file for further analysis.
The project integrated elements of mechanical engineering and renewable energy technology, combining theoretical knowledge with practical implementation. Testing confirmed that the system performs reliably under laboratory conditions, with minor limitations such as manual restarts after power loss and the scalability constrains of the I2C protocol. These can be addressed with future upgrades regarding potential improvements including auto-restarts features and I2C multiplexing.
The final outcome is a modular, low-cost and efficient system that enhances the laboratory’s educational capabilities by enabling hands-on learning and data driven experimentation in renewable energy studies.
The project integrated elements of mechanical engineering and renewable energy technology, combining theoretical knowledge with practical implementation. Testing confirmed that the system performs reliably under laboratory conditions, with minor limitations such as manual restarts after power loss and the scalability constrains of the I2C protocol. These can be addressed with future upgrades regarding potential improvements including auto-restarts features and I2C multiplexing.
The final outcome is a modular, low-cost and efficient system that enhances the laboratory’s educational capabilities by enabling hands-on learning and data driven experimentation in renewable energy studies.