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SUMMARY:Process Systems Engineering for Renewable Energy
DTSTART:20150609T110000
DTEND:20150609T123000
DTSTAMP:20260407T091140Z
UID:2f034c7b1e86098beb275ae7ee77ac4985b584dacc9ac604d2f32b2f
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Christos T. Maravelias\, Department of Chemical and Biol
 ogical Engineering\, University of Wisconsin - Madison\, USA\nBio : Christ
 os was born in 1973 in Athens\, Greece. He obtained his Diploma in Chemica
 l Engineering at the National Technical University of Athens in 1996. Next
 \, he moved to the London School of Economics (London\, UK)\, where he rec
 eived an MSc in Operational Research in 1997. After completing his militar
 y service in Greece\, he joined Carnegie Mellon University where he comple
 ted his doctoral studies under the supervision of Professor Ignacio Grossm
 ann in 2004. In the fall of 2004 he joined the faculty of the Department o
 f Chemical and Biological Engineering at the University of Wisconsin – M
 adison.  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. Da
 vid Smith Jr. and the 2013 Outstanding Young Researcher Awards from the CA
 ST division of AIChE. Christos’ research interests are in the areas of a
 ) production planning and scheduling\, b) chemical supply chain optimizati
 on\, c) process synthesis and technology assessment for renewable energy\,
  and d) computational methods for novel material discovery.\nAbstract : 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 evaluat
 ion studies for catalytic biomass-to-fuels processes\, and illustrate how 
 systems-level analyses can be coupled with experimental heterogeneous cata
 lysis studies to identify promising research directions. Second\, we devel
 op a general framework for process synthesis where surrogate unit models f
 or novel technologies are generated and employed for the generation of int
 egrated processes\; we discuss the application of the proposed framework t
 o a number of applications. Finally\, we present an optimization-based fra
 mework for the assessment of biomass-to-fuel production strategies. Specif
 ically\, we generate a technology superstructure that consists of a wide r
 ange of technologies and formulate optimization models that allow us to: (
 i) evaluate alternative biofuels strategies\, (ii) identify the major tech
 nological barriers and cost drivers of a given strategy\, and (iii) quanti
 fy the impact of uncertainty.
LOCATION:MA A3 31 http://plan.epfl.ch/?room=MAA331
STATUS:CONFIRMED
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