SINOMICSJOURNALSINOMICSJOURNAL

International Journal of Social Science, Education, Communication and EconomicsInternational Journal of Social Science, Education, Communication and Economics

Paddle aerators are an important tool in intensive shrimp farming. The purpose of this study is to determine the performance and electrical power consumption of paddle aerators based on the results of dynamic modelling analysis. This study uses a causal ex-pose facto design with data analysis using a dynamic modelling system. The results showed the salinity levels of pond 1 were 20-27 gr/L and pond 2 were 31-33 gr/L, pH in pond 1 was 7.9-9.0 and pond 2 was 8.1-8.3, DO concentration in pond 1 was 4.43-6.93 mg/L and pond 2 was 4.72-5.99 mg/L, temperature in pond 1 was 27.15-31.40°C with a brightness of 43 cm and pond 2 ranged from 27.50-29.85°C with a brightness of 49 cm. From the calculation, a 1 HP paddle aerator produces an average of 2.12 mgO2/hour (1.68-2.89 mgO2/hour) with a gas pressure of 10.31-16.00 mmHg, while a 2 HP paddle aerator produces an average of 3.20 mgO2/hour (2.82-3.65 mgO2/hour) with a gas pressure of 10.05-14.56 mmHg. The accumulated results indicate that the electrical load power required for pond 1 is about 6.83-10.38 kW and pond 2 is about 6.59-7.71 kW. The performance of a 1 HP paddle aerator is more effective than 4 pieces of a 2 HP paddle aerator. The dynamic model analysis estimated the level of dissolved oxygen production by paddle aerators during one cultivation cycle ranged from 1-2.70 mgO2/hours and 1-2.75 mgO2/hours with a rotational speed of 0-30 rpm/s and power requirements of 8-10 kW.

The use of 1 HP paddle aerators in large quantities is proven to be more effective.Based on the dynamic modelling system analysis, the performance of dissolved oxygen production by paddle aerators stagnates in the tenth week of the cultivation period, with increasing electrical power requirements.This indicates a need for optimized aeration strategies throughout the cultivation cycle to maintain oxygen levels and minimize energy consumption.

Further research should investigate the integration of IoT technology with paddle aerator systems to enable real-time monitoring and adaptive control of aeration based on dynamic pond conditions. Additionally, exploring the effectiveness of combining different aeration methods, such as paddle aerators with diffused aeration, could optimize oxygen distribution and reduce energy consumption. Finally, studies focusing on the impact of varying paddle wheel designs and rotational speeds on oxygen transfer efficiency and energy usage are needed to identify optimal configurations for different pond sizes and stocking densities. These investigations will contribute to more sustainable and efficient shrimp farming practices by improving oxygen management and reducing operational costs.

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