2022 - AVEVA World San Francisco - Simulation & Learning
ESTECO S.p.A: Optimization-driven design for a sustainable process plant
Since the 1970s, the environmental regulation in developed countries has become substantially more stringent. While the best available information indicates that the overall benefits far exceed the costs, international firms usually have to sustain costs and competition with non-regulated countries.
Optimization-driven design, an iterative design process that uses simulation and machine learning to mimic nature s evolutionary approach to design, offers the potential to boost sustainability across the manufacturing industry.
This talk will introduce a case study, an ethanol distillation process plant, to demonstrate the potential of the design process using an optimization approach.
Project engineers can use this methodology to aid the decision-making process during the design phase to quickly identify designs with an acceptable trade-off between robustness, cost, and performance in terms of environmental impact.
- Chemicals & Petrochemicals
Simone Genovese received his Master's Degree in Computer Science Engineering at the University of Pisa in 2012. The same year he started working at ESTECO SpA. as a developer for modeFRONTIER. In 2016 took the role of Software Architect, contributing to several core technologies of the modeFrontier engine, taking part in different research projects, and supporting pre
Cal Depew is the Product Director for AVEVA Process Simulation, AVEVA s next generation simulation product from SimSci heritage. Previously, Cal was the dynamic simulation product director. He designed the process models for a first