Optimal Design of Sustainable Process and Energy Systems

Project by

Ignacio E. Grossmann
Guest of Director 2024–2025

Gonzalo Guillén Gosálbez
Associate Fellow

This project aims to develop optimization models using mixed-integer linear/nonlinear programming (MILP/MINLP), Generalized Disjunctive Programming (GDP), and global optimization techniques for the synthesis and design of sustainable process and energy systems. The goal is to integrate life-cycle analysis models to assess the environmental impact of the optimized systems. A specific example involves deploying negative emissions technologies in the European Union power system to anticipate uncertainties through stochastic programming models.

The project will include teaching the graduate-level course “Advanced Optimization for Process Systems Engineering” at ETH Zurich.