Temperature control presents a high cost for recirculating aquaculture systems (RAS). It is necessary to find a solution that would save energy in RAS. A heat balance for recirculating aquaculture system was developed on python program and a heat predicting model on graphic interface user (GUI) was produced with the given name of RAS designer and operation assistant. The model can predict precisely the heat energy required to be added or removed to maintain the water temperature at optimum water temperature to guarantee fish welfare and productivity. The model was validated by comparing predicted heat energy to actual heat energy. The model can predict the total annual, monthly, daily, hourly and extreme condition heating requirements, solar radiation, and water temperature.
The predicted temperature of the water in the tank by the model ranged from 21.96 ºC to 33.26 ºC with an average of 27.92 ºC ± 1.34 ºC. on the other hand the actual temperature of the water in the tank ranged from 22.20ºC to 30.90ºC with an average of 28.41 ºC ± 1.16 ºC. The model gives good and promising results that are relatively realistic.