BIO_ALGAE 2: improved model of microalgae and bacteria consortia for wastewater treatment

A new set up of the integral mechanistic BIO_ALGAE model that describes the complex interactions in mixed algal-bacterial systems was developed to overcome some restrictions of the model. BIO_ALGAE 2 includes new sub-models that take into account the variation of microalgae and bacteria performance as a function of culture conditions prevailing in microalgae cultures (pH, temperature, dissolved oxygen) over daily and seasonal cycles and the implementation of on-demand dioxide carbon injection for pH control. Moreover, another aim of this work was to study a correlation between the mass transfer coefficient and the hydrodynamics of reactor. The model was calibrated using real data from a laboratory reactor fed with real wastewater. Moreover, the model was used to simulate daily variations of different components in the pond (dissolved oxygen, pH, and CO₂ injection) and to predict microalgae (X_ALG) and bacteria (X_H) proportions and to estimate daily biomass production (C_b). The effect of CO₂ injection and the influence of wastewater composition on treatment performance were investigated through practical study cases. X_ALG decreased by 38%, and X_H increased by 35% with respect to the system under pH control while microalgae and bacteria proportions are completely different as a function of influent wastewater composition. Model simulations have indicated that C_b production (~ 100 gTSS m^-3 day^-1 for manure and centrate) resulted lower than C_b production obtained using primary influent wastewater (155 gTSS m^-3 day^-1).