TY - GEN
T1 - Battery Health Monitoring System on Photovoltaic-Based Aerators in Vannamei Shrimp Pond
AU - Pratama, I. Putu Eka Widya
AU - Mujiyanti, Safira Firdaus
AU - Safitri, Devi Roro
AU - Nanta, Tepy Lindia
AU - Patrialova, Sefi Novendra
AU - Kurniawan, Izef Aulia
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Various sensors ensure accurate health and battery load monitoring, accessible in real-time through an online interface. PZEM017 sensors are responsible for measuring voltage and current, while a DS18B20 sensor monitors the temperature. These sensors have undergone testing, revealing impressive accuracy levels: the voltage sensor with 99.58% accuracy and 0.42% error, the current sensor with 97.27% accuracy and 2.35% error, and the temperature sensor with 98.79% accuracy and 1.21 % error. ESP32 handles data processing and transmission to a central database via the Internet. The data is also logged onto a spreadsheet, displaying key metrics like voltage, current, temperature, battery health, and remaining power. Based on a week-long test, the average battery performance was calculated to be SoC 91.25%, DoD 8.75%, with a two-hour and six-minute autonomy, and a battery power of 538.97 Watts. The comprehensive monitoring system enables shrimp pond farmers to proactively maintain battery health, optimize energy usage, and ensure efficient aerator operation, resulting in significant benefits for their aquaculture practices.
AB - Various sensors ensure accurate health and battery load monitoring, accessible in real-time through an online interface. PZEM017 sensors are responsible for measuring voltage and current, while a DS18B20 sensor monitors the temperature. These sensors have undergone testing, revealing impressive accuracy levels: the voltage sensor with 99.58% accuracy and 0.42% error, the current sensor with 97.27% accuracy and 2.35% error, and the temperature sensor with 98.79% accuracy and 1.21 % error. ESP32 handles data processing and transmission to a central database via the Internet. The data is also logged onto a spreadsheet, displaying key metrics like voltage, current, temperature, battery health, and remaining power. Based on a week-long test, the average battery performance was calculated to be SoC 91.25%, DoD 8.75%, with a two-hour and six-minute autonomy, and a battery power of 538.97 Watts. The comprehensive monitoring system enables shrimp pond farmers to proactively maintain battery health, optimize energy usage, and ensure efficient aerator operation, resulting in significant benefits for their aquaculture practices.
KW - aerator
KW - battery health monitoring system
KW - clean energy
KW - photovoltaic
UR - http://www.scopus.com/inward/record.url?scp=85210845722&partnerID=8YFLogxK
U2 - 10.1109/ICT-PEP63827.2024.10733536
DO - 10.1109/ICT-PEP63827.2024.10733536
M3 - Conference contribution
AN - SCOPUS:85210845722
T3 - ICT-PEP 2024 - International Conference on Technology and Policy in Energy and Electric Power: Resilient Power Systems: Navigating the Clean Energy Transition, Proceedings
SP - 398
EP - 402
BT - ICT-PEP 2024 - International Conference on Technology and Policy in Energy and Electric Power
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 International Conference on Technology and Policy in Energy and Electric Power, ICT-PEP 2024
Y2 - 3 September 2024 through 5 September 2024
ER -