PLEASE NOTE: The workshop name has changed from "Scale-Up and Advanced Learnings from Equipment Usage and Predictive Modeling" to "Predictive Models and High Performance Computing as Tools to Accelerate the Scaling-Up of New Bio-Based Fuels."
On June 9–11, 2020, the U.S. Department of Energy’s (DOE’s) Office of Energy Efficiency and Renewable Energy’s Bioenergy Technologies Office hosted the Predictive Models and High Performance Computing as Tools to Accelerate the Scaling-Up of New Bio-Based Fuels Workshop. The virtual workshop was designed to determine if predictive models and high performance computing can be utilized to:
- Accelerate scaling-up of biotechnologies
- Reduce uncertainty in biotechnologies
- Optimize operations of equipment and processes.
A main goal of the workshop was to determine if effective utilization of mathematical models and artificial intelligence with machine learning in conjunction with highly instrumented bench-, pilot-, and demonstration-scaled facilities can be used to validate and improve system and subsystem models.
DOE will use the outcomes of this workshop to further the discussion related to research and development challenges and opportunities to strengthen the biofuel industry through reliable scale-up and integration.
Download the agenda for this workshop.
To view presentations from the workshop, visit the workshop presentations web page.