| dc.description.abstract | This study aims to design and develop an Internet of Things (IoT)-based calorimeter
system to measure the calorific value of pyrolysis oil fuel derived from plastic waste,
specifically high-density polyethylene (HDPE). This research was conducted to
overcome the limitations of conventional calorimeters by integrating digital sensors
and automation systems to improve measurement accuracy and efficiency. The system
was designed using a PT100 RTD temperature sensor with a MAX31865 module, an
INA219 current-voltage sensor, an ESP32 microcontroller, a relay, and an I²C LCD
for data display. Data acquisition and transmission were carried out through the Blynk
IoT platform, which enabled real-time monitoring and automatic storage to Google
Drive. This research was conducted at the LIDA Physics Laboratory of the University
of North Sumatra for five months. The device was calibrated using standard kerosene
fuel with an average temperature increase of 0.65°C to obtain the system's heat
capacity (Ckal) value. Validation tests were conducted using oil from HDPE plastic
pyrolysis. The test results showed average heat values of 7,766 cal/g, 7,435 cal/g, and
8,262 cal/g, with an overall average of 7,821 cal/g and an RSD value of 4.7%,
indicating good precision. The deviation from the reference value (10,936.73 cal/g)
was 28.5%, caused by heat loss and combustion variations. Overall, this IoT-based
calorimeter successfully demonstrated consistent, efficient, and accurate
measurements, making it suitable for analyzing the energy potential of alternative
fuels produced from plastic waste pyrolysis. | en_US |
