The performance of a bioreactor is sensitive to local gradients of chemical and physical stimuli. Thus, this work presents a model, which captures spatial heterogeneity and interactions of biotic and abiotic phases in animal cell cultures. A computational fluid dynamics simulation that includes gas-liquid mass transfer and kinetics of carbon dioxide dissolution is developed to capture the variations of environmental parameters, Unstructured modeling is implemented to integrate growth, viability and productivity of cells. While predictive accuracy is valuable, it is important to balance it with computational feasibility. In this work, evolutions of hydrodynamics and cell population are obtained sequentially. The outcome is a deterministic model with extended integration between physical and biological phenomena which is computationally tractable. The model calculates the bioteactor performance as a function of time and process parameters such as impeller rotation speed and gas sparging flow rate, which makes it useful for bioprocess design and scheduling. (C) 2016 Elsevier Ltd. All rights reserved.