(36c) Experiment-Informed Virtual Physics for Granular Feedstock Preprocessing and Handling Operations: Overview of Recent Progress | AIChE

(36c) Experiment-Informed Virtual Physics for Granular Feedstock Preprocessing and Handling Operations: Overview of Recent Progress

Authors 

Xia, Y. - Presenter, Idaho National Laboratory
Jin, W., Idaho National Laboratory
Klinger, J., Idaho National Laboratory
Saha, N., Idaho National Laboratory
Bhattacharjee, T., Idaho National Laboratory
Small, M., Idaho National Laboratory
Yancey, N., Idaho National Laboratory
Williams, C. L., Idaho National Laboratory
Aston, J. E., Idaho National Laboratory
Thompson, D., Idaho National Laboratory
Wendt, L., Idaho National Laboratory
Thompson, V., Idaho National Laboratory
Virtual physics is an emergent technology in the field of biorefinery design and optimization to assist and expand the quality-by-design approach through development of experiment informed and validated multiphysics models and predictive simulations for de-risking the scale-up of granular feedstock preprocessing and handling unit operations (size reduction, screening, feeding and transport, etc.). This presentation will overview the recent progress and challenges in the development of physics-based computational models for granular feedstock preprocessing and handling operations. A variety of models for simulating particle size reduction, fractionation, and granular flow & transport from the laboratory benchmark scale to the pilot operation unit scale will be introduced. The best practice of using those models regarding their suitability and computational costs will be discussed as well.