Process Systems Engineering for Renewable Energy
Event details
| Date | 09.06.2015 |
| Hour | 11:00 › 12:30 |
| Speaker |
Prof. Christos T. Maravelias, Department of Chemical and Biological Engineering, University of Wisconsin - Madison, USA Bio : Christos was born in 1973 in Athens, Greece. He obtained his Diploma in Chemical Engineering at the National Technical University of Athens in 1996. Next, he moved to the London School of Economics (London, UK), where he received an MSc in Operational Research in 1997. After completing his military service in Greece, he joined Carnegie Mellon University where he completed his doctoral studies under the supervision of Professor Ignacio Grossmann in 2004. In the fall of 2004 he joined the faculty of the Department of Chemical and Biological Engineering at the University of Wisconsin – Madison. He is the recipient of an NSF CAREER award, the 2012 Best Paper Award from Computers and Chemical Engineering, as well as the 2008 W. David Smith Jr. and the 2013 Outstanding Young Researcher Awards from the CAST division of AIChE. Christos’ research interests are in the areas of a) production planning and scheduling, b) chemical supply chain optimization, c) process synthesis and technology assessment for renewable energy, and d) computational methods for novel material discovery. |
| Location | |
| Category | Conferences - Seminars |
Abstract : We discuss how process systems engineering (PSE) studies can facilitate the development of novel strategies for the production of renewable fuels and chemicals. First, we present process synthesis and technoeconomic evaluation studies for catalytic biomass-to-fuels processes, and illustrate how systems-level analyses can be coupled with experimental heterogeneous catalysis studies to identify promising research directions. Second, we develop a general framework for process synthesis where surrogate unit models for novel technologies are generated and employed for the generation of integrated processes; we discuss the application of the proposed framework to a number of applications. Finally, we present an optimization-based framework for the assessment of biomass-to-fuel production strategies. Specifically, we generate a technology superstructure that consists of a wide range of technologies and formulate optimization models that allow us to: (i) evaluate alternative biofuels strategies, (ii) identify the major technological barriers and cost drivers of a given strategy, and (iii) quantify the impact of uncertainty.
Practical information
- Informed public
- Free
- This event is internal
Organizer
- IGM-GE
Contact
- Géraldine Palaj