Join the High Performance Computing for Energy Innovation (HPC4EI) for a virtual event focusing on process optimization. Process optimization is important for reducing energy consumption in industrial processes with the additional benefits of lowering production costs, increasing competitiveness, and reducing carbon footprints.
Much of the “low hanging fruit” of process optimization has been previously realized through experimental innovation. Sophisticated computational modeling is now needed to identify and quantify new areas of process optimization and to reduce risks associated with the adoption of proposed innovations.
This event will feature discussions from industrial partners and national laboratory computational scientists on exciting projects aimed at process optimization. Additionally, there will be a discussion geared toward industrial engineering managers about the basics of machine learning. These new techniques have been used successfully by several industries to lower the computational cost and time of product and process innovation, and to insert modeling results directly into modern, real-time control systems in a paradigm-shift in process control methodology.