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VERSION:2.0
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SUMMARY:Global Optimization of Unconventional Formulations for Sustainable
  Energy Systems
DTSTART:20160610T101500
DTEND:20160610T111500
DTSTAMP:20260604T101100Z
UID:d41eac53f3f8ff22f22721f4f33c762a21f0e6fdc5d6b19943cd05cb
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Alexander Mitsos\, RWTH Aachen University\, Germany\nTh
 e presentation gives an overview of the group's recent and current work on
  energy systems and describes some highlights in more detail. The focus is
  on the optimal design of renewable energy systems\, in particular concent
 rated solar thermal\, geothermal and biomass conversion.\nWe discuss optim
 al layout\, optimal design and optimal operation over time scales (hourly\
 , daily\, seasonal).  We also discuss hybrid systems consisting of more t
 han one energy source with the goal of synergetically combining sources wi
 th different characteristics.\nThese systems have characteristics that are
  different from conventional energy systems\, namely the combination of tu
 rbomachinery and chemical processes\, pronounced uncertainty and time-vari
 ability.  As a result\, these systems need to be addressed using systemat
 ic methods from process systems engineering and at the same time can be ut
 ilized to identify and overcome limits in these methodologies. In the last
  decade\, algorithms for deterministic global optimization of mixed-intege
 r nonlinear programs (MINLP) have undergone major changes rendering the so
 lution of challenging optimization problems possible. We utilize these adv
 antages to optimize several renewable energy systems using state-of-the-ar
 t codes. However\, we also demonstrate that the optimization of several sy
 stems is not possible using these codes due to mainly two reasons\, namely
  scaling of computational complexity with size of problems and the fact th
 at natural formulations for many problems do not follow the traditional MI
 NLP.\nTo address these problems we develop theory for the scaling of algor
 ithms and algorithms for unconventional formulations and utilize them for 
 energy systems. In particular we discuss embedded/hierarchical programs (b
 ilevel\, semi-infinite\, differential-algebraic systems with optimization 
 embedded) and how these problems can be solved. We finally briefly discuss
  open challenges in optimization theory and algorithms and in energy syste
 ms.\nBio: Alexander Mitsos is a Full Professor (W3) in RWTH Aachen Univer
 sity\, and the Director of the Laboratory for Process Systems Engineering 
 (AVT.SVT). His research focuses on optimization (design and operation) of 
 energy and chemical systems and development of enabling numerical algorith
 ms.\nEducational Background\n		    Ph.D. in Chemical Engineering\, June
  2006\, MIT\n	\n		    Dipl.-Ing. in Chemical Engineering\, March 1999\,
  Karlsruhe University\, Germany\n\nAcademic Appointments\n		    Sep 201
 2-\, Professor for Process Systems Engineering\, Aachener Verfahrenstechni
 k - AVT der RWTH Aachen\, Deutschland\n	\n		    Jan 2009-Aug 2012\, Roc
 kwell International Assistant Professor\, Department of Mechanical Enginee
 ring\, MIT\n	\n		    Sep-Dec 2008\, Visiting Scientist\, Department of 
 Mechanical Engineering\, MIT\n	\n		    Jan-Dec 2008\, Junior Research G
 roup Leader\, AICES\, RWTH Aachen\n\nProfessional Development\n		    Se
 p 2006-Dec 2007\, Senior Engineer\, RES Group Inc.\, Cambridge MA\n	\n		 
    Mar 2001-Jun 2001\, Consulting Engineer\, Babcock Borsig Power\n
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STATUS:CONFIRMED
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