Work

Nonconvex Robust Optimization for the Design and Operation of Advanced Energy Systems Using PyROS

Year: 2024

Type: conference-paper

Abstract: This work discusses recent advances of the two-stage robust optimization (RO) solver PyROS and applications to advanced energy systems optimization. To demonstrate the computational performance and reliability of PyROS, a study on a monoethanolamine (MEA)-based CO2 absorption flowsheet is presented. (Near-)robust feasible designs for CO2 absorption flowsheet at high carbon capture are obtained with the PyROS solver. The results demonstrate that the PyROS solver, including recent extensions to multi-stage RO settings, provides a reliable avenue to optimize the design and operation of advanced energy systems subject to various sources of parametric uncertainty.

DOI: 10.2172/2478510

Authors: Jason Sherman, John Siirola, Chrysanthos Gounaris

Institutions: Carnegie Mellon University, Sandia National Laboratories California, Sandia National Laboratories

Language: English

Topic: Process Optimization and Integration

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure, Climate action

Open Access status: gold

OpenAlex ID: W4404773257

FWCI:

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