Abstract
AbstractAeration experiments were conducted in a masonry tank to study the effects of operating parameters on the standard aeration efficiency (SAE) of a propeller diffused aeration (PDA) system. The operating parameters included the rotational speed of shaft (N), submergence depth (h), and propeller angle (α). The response surface methodology (RSM) and an artificial neural network (ANN) were used for modelling and optimizing the standard aeration efficiency (SAE) of a PDA system. The results of both approaches were compared for their modelling abilities in terms of coefficient of determination (R2), root mean square error (RMSE), and mean absolute error (MAE), computed from experimental and predicted data. ANN models were proved to be superior to RSM. The results indicate that for achieving the maximum standard aeration efficiency (SAE), N, h and α should be 1,000 rpm, 0.50 m, and 12°, respectively. The maximum SAE was found to be 1.711 kg O2/ kWh. Cross-validation results show that best approximation of the optimal values of input parameters for maximizing SAE is possible with a maximum deviation (absolute error) of ±15.2% between the model predicted and experimental values.
Highlights
Aeration is an important factor in aquaculture
The performance evaluation of these aeration systems has been very important in selecting the design features to provide cost-effective and efficient aerators to be used in aquaculture
These results showed that the artificial neural network (ANN) models have higher modelling capability and thereby better prediction ability compared to the response surface methodology (RSM) models for aeration efficiency
Summary
Aeration is an important factor in aquaculture. The level of dissolved oxygen (DO) concentration in aquaculture systems sometimes may fall below the critical level (less than 5 mg/L) and may lead to mortality of aquatic animals. The performance evaluation of these aeration systems has been very important in selecting the design features to provide cost-effective and efficient aerators to be used in aquaculture. Ruttanagosrigit et al (1991) reported that propeller-aspirator-pump aeration is more efficient to transfer oxygen to water effectively at a salinity range of 10–30 ppt. Boyd & Martinson (1984) used propeller-aspirator-pump aerators of different sizes (0.38, 1.5, and 2.24 kW) in a tank of low water depth of 1.04 m to evaluate performance. The variation in rotational speed, submergence depth, and propeller angle are the important parameters which may affect the oxygen transfer rate and aeration efficiency. The present research was conducted to optimize the different operating parameters e.g., rotational speed (N), submergence depth (h) of PDA system as well as the propeller angle (α) needed to achieve maximum aeration efficiency
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