CodeRunner

In the development process, the scale-up model needs to be characterize and optimized. Often, the differences in scale make scale up and prediction uniquely challenging. How to generate a small model and how to calibrate the small model to reliably predict the scale up performance is very important. Small-scale model development must be scientifically and carefully designed to represent many of the functions and environments that will be presented on a large scale. If the model selection or range of parameters are not reasonable, then even the secondary model adjustment and correction can not make up for these problems.