The Institute for the Design of Advanced Energy Systems (IDAES) project is developing next generation computational tools for Process Systems Engineering (PSE) of advanced energy systems to enable their rapid design and optimization.
The IDAES Process Systems Engineering Framework represents a new approach for the design and optimization of innovative steady state and dynamic processes by integrating an extensible, equation-oriented process model library with the Pyomo algebraic modeling language. Built specifically to enable rigorous large-scale mathematical optimization, the framework includes capabilities for conceptual design, steady state and dynamic optimization, multi-scale modeling, uncertainty quantification, and the automated development of thermodynamic, physical property, and kinetic submodels from experimental data. IDAES provides:
- Flexible design approaches, which enable optimization over broad ranges of potential plant operation
- New approaches for utilizing process intensification concepts to enable the identification and scale up of step change technologies that are smaller, more modular and more cost effective
- Support for development, scale up, and deployment of new energy technologies
- A modular framework and model library that supports large-scale optimization of advanced energy systems
- Machine learning-based parameter estimation tools