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SUMMARY:R2Chem: Structure Optimization of Renewables-to-Chemicals Producti
 on Systems
DTSTART:20190523T160000
DTEND:20190523T170000
DTSTAMP:20260510T202344Z
UID:160ea7b93db5e23cae8e71bb686766e67a39b6ae7c3e316ba82522bd
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Dr. Kai Sundmacher\nMax Planck Institute for Dynamics of
  Complex Technical Systems\nMagdeburg\, Germany and\nOtto-von-Guericke-Uni
 versity Magdeburg\nMagdeburg\, Germany\nChE-605 - Highlights in Energy Res
 earch seminar series\nFor CO2 reduction in the chemical industries\, the m
 assive use of renewable energies and the substitution of fossil feedstock 
 by implementation of Renewables-to-Chemicals (R2Chem) production systems a
 re of key importance. Due to the multitude of alternative feedstock source
 s and possible process technologies a large number of rivalling chemical p
 athways are possible for converting renewables to valuable target products
 . In our work [1\,2] we propose a method for the identification of the opt
 imal R2Chem process structure under consideration of an economic objective
  function. By use of process extent variables it is possible to avoid bina
 ry decision variables\, resulting in a purely continuous optimization prob
 lem. The derived cost function includes operational cost as well as capita
 l cost. Furthermore\, a penalty term for carbon dioxide emissions is consi
 dered. It is shown that an acceptable trade-off between cost and emissions
  is realizable by using natural gas as the main feedstock\, especially if 
 the required energy is supplied from renewable sources (wind/solar). A net
  consumption of CO2 of the overall production system is only possible if r
 enewable energies sources are exploited while using CO2 as feedstock sourc
 e at the same time. In case of using fossil energy sources\, a negative ca
 rbon footprint is unavoidable due to high indirect CO2 emissions due to th
 e energy supply (electricity\, heat). Thus\, in addition to economic chall
 enges of using CO2 as feedstock also the ecologic impact strongly depends 
 on the energy source used. The main advantage of the proposed methodology 
 is the fast identification of an optimal process system within a superstru
 cture containing many alternative configurations. The method is exemplifie
 d for the production of methanol from different feedstock and energy suppl
 y sources.\n \nReferences\n[1] Schack\, D.\, Rihko-Struckmann\, L. and Su
 ndmacher\, K.: Linear Programming Approach for Structure Optimization of R
 enewable-to-Chemicals (R2Chem) Production Networks. Industrial & Engineeri
 ng Chemistry Research 57 (2018) 9889-9902.\n \n[2] Schack\, D.\, Liesche\
 , G. and Sundmacher\, K.: The FluxMax Approach: Simultaneous Flux Optimiza
 tion and Heat Integration by Discretization of Thermodynamic State Space I
 llustrated on the Methanol Synthesis Process. Computers & Chemical Enginee
 ring (2019)\, under review.\n\nThe seminar can also be followed remotely b
 y joining the online Cisco WebEx meeting (connection possible 15 minutes b
 efore the talk).\nSee here the documentation how to install the Cisco WebE
 x add-on on your computer.\nIn case of problem\, you can contact our IT su
 pport (37679 - it.vs@epfl.ch )\n\n\n 
LOCATION:I17 4 K2 https://plan.epfl.ch/?room==I17%204%20K2
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