Overview

Decarbonisation efforts prompted a rise in variable renewable energy sources. Integrated Energy Systems (IESs) are well suited to provide the needed flexibility to support this paradigm shift in the electric grid. Sharing recent work using surrogate models to rigorously optimize the annual operation of six energy system concepts, and presenting new optimisation methods that leverage surrogate models to embed the impact of IES operation on wholesale electricity market outcome.

Speaker

Alexander Dowling, Assistant Professor, University of Notre Dame

Alexander is an Associate Professor in Chemical and Biomolecular Engineering at the University of Notre Dame (Indiana, USA) with a concurrent appointment in Applied and Computational Mathematics and Statistics. His research combines chemical engineering, computational optimisation, machine learning and data science to enable principled molecular-to-systems engineering of sustainable energy and environmental technologies. Applications areas include energy markets and infrastructure, carbon sequestration, sustainable hydrogen, critical mineral recycling and advanced separations (membranes, ionic liquids).

Alexander has been recognised with an NSF CAREER award (2019), the Junior Sargent Medal from IChemE (2023), the university-wide Mentoring Award from the Graduate Student Government (2023) and two R&D 100 awards. He holds a BSE from the University of Michigan - Ann Arbor and a PhD from Carnegie Mellon University, all in chemical engineering.

The material presented at this event has not been peer-reviewed. Any opinions are the presenter's own and do not necessarily represent those of IChemE or the Computer Aided Process Engineering SIG. The information is given in good faith but without any liability on the part of IChemE.

Webinar archive

This webinar is free of charge and open to all to attend, but if you wish to access the slides and a recording to replay on demand then you will need to be a member of the CAPE Special Interest Group.