Automated Flow-Rate Control in Intelligent Recirculating Aquaculture Systems (i-RAS) to Improve Water Quality, Energy Use, and Hybrid Catfish Growth
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Abstract
This study evaluated an automated flow-rate control system for hybrid catfish (Clarias macrocephalus × C. gariepinus) in a recirculating aquaculture system (RAS). The experiment employed a completely randomized design with four treatments, each replicated three times: an ammonia-sensor-driven variable flow (5–15 m³·h-¹) and three fixed flow rates: low (0.5×), medium (1.0×), and high (1.5× tank volume·h-1). Fish were stocked in circular tanks with a capacity of 3,500 L (3.0 m in diameter and 0.5 m in depth) at a stocking density of 100 fish·m⁻², with an initial average weight of 13–15 g·fish-1. Fish were fed commercial pellets (≥30% protein) to apparent satiation twice daily and cultured for 16 weeks under continuous aeration and real-time monitoring of NH₃-N, dissolved oxygen (DO), temperature, and pH. After 16 weeks, the automated and high-flow treatments achieved the highest final weights (308.95±1.43 and 304.99±3.27 g) and survival rates (90.90±0.46 and 90.86±0.29%), which were significantly greater than those in the medium- and low-flow treatments (p<0.05). The automated system produced the lowest FCR (1.48±0.01; p<0.05) and maintained water quality (TAN, NH3-N, NO2--N) comparable to the high-flow treatment, with TAN reduced by approximately 54% compared with the low-flow treatment (p<0.05). Energy consumption was reduced by approximately 25% compared with that of a constant high recirculation rate. These findings demonstrate that real-time, sensor-driven flow regulation can enhance fish growth, maintain water quality, and reduce energy demand, thereby improving the sustainability of RAS operations.
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