Predictive Models and High-Performance Computing as Tools to Accelerate the Scaling-Up of New Bio-Based Fuels Workshop: Summary Report

You are here

Predictive Models and High-Performance Computing as Tools to Accelerate the Scaling-Up of New Bio-Based Fuels Workshop: Summary Report

The Predictive Models and High-Performance Computing as Tools to Accelerate the Scaling-Up of New Bio-Based Fuels Workshop, coordinated by the Bioenergy Technologies Office, gathered bioenergy stakeholders across diverse sectors and technology areas, including representatives from industry, academia, and government. One hundred seventy-five participants provided their input regarding best practices for utilizing mathematical modeling tools across multiple scales to reduce technology uncertainty and accelerate scaling-up of biorefinery/chemical production equipment and optimize operations.

This workshop summary report summarizes stakeholder input related to discussion objectives including:

  • Understanding how modeling tools can be effectively utilized in conjunction with operational data from bench, pilot, and demonstration facilities to augment and accelerate scale-up and integration efforts
  • Identifying synergies, challenges, and gaps in current modeling efforts and data collection methods across technologies
  • Utilizing artificial intelligence and machine-learning computational technologies together with well-instrumented systems to assess and validate models and develop transfer functions to represent scale-up accurately
  • Developing best practices and publicly available multiscale modeling tools to reliably represent integrated equipment and operations involved in biorefineries.