Modeling Oxygen Transfer Rate to Optimize Aeration Process in Moving Bed Biofilm Reactor within Recirculating Aquaculture Systems

Abstract

Recirculating Aquaculture Systems (RAS) represent an advanced technological approach for maintaining water quality in ornamental fish farming, including koi fish, a significant commodity in the fisheries sector. A primary challenge within this system is the regulation of water quality parameters such as ammonia, nitrite, and dissolved oxygen. This research aims to optimize the oxygen transfer process in the MBBR-RAS system by adjusting airflow to enhance the efficiency of contaminant removal, particularly ammonia and nitrite. The methodology involves the development of a mathematical model to predict the oxygen transfer rate (OTR) under varying airflow conditions. The findings indicate that an airflow variation of 100 L/min results in more stable and efficient outcomes compared to airflow rates of 150 L/min and 190 L/min, which led to reduced efficiency. The developed mathematical model accurately predicted the oxygen transfer rate, especially under lower aeration conditions. The results suggest that optimizing airflow rates enhances the overall efficiency of the system. These findings provide valuable insights for advancing the sustainability and performance of aquaculture systems in ornamental fish farming.