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@ARTICLE{Zhao:826306,
author = {Zhao, Xiao and Marquardt, Wolfgang},
title = {{R}eactor network synthesis with guaranteed robust
stability},
journal = {Computers $\&$ chemical engineering},
volume = {86},
issn = {0098-1354},
address = {Amsterdam [u.a.]},
publisher = {Elsevier Science},
reportid = {FZJ-2017-00539},
pages = {75 - 89},
year = {2016},
abstract = {This paper proposes a systematic approach to design reactor
networks with guaranteed robust stability. The approach is
based on the superstructure approach for reactor network
synthesis. A structured dynamic model for reactor network
modeling is formulated and embedded in a MINLP with robust
eigenvalue constraints. Design parameters, structural
alternatives and parametric uncertainty are considered
simultaneously as design degrees of freedom. Structural
alternatives result from decisions on the existence of
reactors and flow connections in the superstructure.
Parametric uncertainty may either result from model
uncertainties such as reaction kinetic constants or heat
transfer coefficients, or from process uncertainties
including slow disturbances in load or quality of raw
materials. A tailored two-step solution strategy is proposed
to tackle the robust mixed-integer optimization problem. A
case study with five continuous stirred-tank reactors (CSTR)
and five plug flow reactors (PFR) is presented for
illustration.},
cin = {VS-V},
ddc = {660},
cid = {I:(DE-Juel1)VS-V-20090406},
pnm = {899 - ohne Topic (POF3-899)},
pid = {G:(DE-HGF)POF3-899},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000370065700007},
doi = {10.1016/j.compchemeng.2015.12.005},
url = {https://juser.fz-juelich.de/record/826306},
}