Suriasni, P.A.; Faizal, F.; Hermawan, W.; Subhan, U.; Panatarani, C.; Joni, I.M. IoT Water Quality Monitoring and Control System in Moving Bed Biofilm Reactor to Reduce Total Ammonia Nitrogen. Sensors2024, 24, 494.
Suriasni, P.A.; Faizal, F.; Hermawan, W.; Subhan, U.; Panatarani, C.; Joni, I.M. IoT Water Quality Monitoring and Control System in Moving Bed Biofilm Reactor to Reduce Total Ammonia Nitrogen. Sensors 2024, 24, 494.
Suriasni, P.A.; Faizal, F.; Hermawan, W.; Subhan, U.; Panatarani, C.; Joni, I.M. IoT Water Quality Monitoring and Control System in Moving Bed Biofilm Reactor to Reduce Total Ammonia Nitrogen. Sensors2024, 24, 494.
Suriasni, P.A.; Faizal, F.; Hermawan, W.; Subhan, U.; Panatarani, C.; Joni, I.M. IoT Water Quality Monitoring and Control System in Moving Bed Biofilm Reactor to Reduce Total Ammonia Nitrogen. Sensors 2024, 24, 494.
Abstract
Traditional aquaculture systems appear to be confronted with the high total ammonia nitrogen (TAN) produced during production, which can be harmful to aquatic life. As the demand for global fish production continues to increase, farmers should adopt Recirculating Aquaculture Systems (RAS) to improve production. The biofilter plays a vital role in ammonia removal. However, the drawback of the biofilter operation is needed an automatic and controlled system with a water quality monitoring system to guarantee optimal performance. RAS utilize a monitoring and control system to maintain the water quality and control the biofilm growth in the biofilter to reduce the ammonia. Therefore, this study focuses on developing a water quality monitoring and control system to achieve optimum biofilm performance. From 35 days of the experiment, the water quality was controlled at a level save for the aquatic environment, such as dissolved oxygen, pH, temperature, and TDS. Thus, the highest TAN removal efficiency is 50% when biofilm thickness reaches 119.88 µm.
Keywords
RAS; biofilter; TAN; monitoring; control
Subject
Physical Sciences, Biophysics
Copyright:
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