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SUMMARY:Selection of process control structures through Mathematical progr
 amming
DTSTART:20161117T101500
DTEND:20161117T111500
DTSTAMP:20260411T033630Z
UID:0e036df6c10851bc779c28beeb1ae97fab3fb07d46a0712ed5c597cb
CATEGORIES:Conferences - Seminars
DESCRIPTION:Ioannis K. Kookos\n\nThe design of chemical processes is carri
 ed out with the aim to generate an optimal plant which satisfies all opera
 ting constraints in a constantly changing environment. Continuous processe
 s have traditionally been designed to achieve optimality around a nominal 
 operating point\, based on the assumption that an appropriate and efficien
 t control system will be added at a later stage. This sequential approach 
 to plant design and control can result in suboptimal plants which may be u
 nable to meet operational requirements. One approach to tackle the combine
 d operability and economics objectives is to assess the effect of disturba
 nces on process economics. As different process designs and control system
  designs have different dynamic characteristics the aim is to design them 
 simultaneously so as to achieve robust economic performance\, i.e.\, reduc
 e sensitivity of economic performance to disturbances.\n\nA systematic met
 hod\, that is known as the back-off methodology for simultaneous design an
 d control\, based on these ideas has been proposed by J.D. Perkins at Impe
 rial College and was latter refined by Perkins and his co-workers. The bac
 k-off methodology is based on the assumption that the optimal steady state
  operating point is defined by the intersection of active constraints. How
 ever\, perfect control of the active constraints cannot be achieved and\, 
 to make things even worse\, the set of active constraints can vary under d
 ynamic conditions and/or active constraints may not be measurable. In addi
 tion\, there is usually available a large number of potential manipulated 
 variables and secondary measurements\, consideration of which results in a
 n exploding number of possible combinations that need to be considered bef
 ore an optimal structure is established.\n\nIn the mathematical formulatio
 n of the classical back-off methodology use is made of linear control theo
 ry combined with a linear model of process economics\, to exploit the bene
 fits of both linear control theory and linear programming so as to quickly
  evaluate alternative control structures and locate the optimal structure 
 and possibly optimal design. The obvious shortcoming is related to the los
 s of accuracy that accompanies the use of linear models that can be severe
  for plants with highly nonlinear dynamics.\n\nIn this presentation the ba
 ck-off methodology is first reviewed and then the necessary modifications 
 for the incorporation of a nonlinear model of process economics are descri
 bed. To evaluate the usefulness of the new systematic methodology two case
  studies will be considered: an evaporator and a ternary reactive distilla
 tion with a chemically inert component in the feed. The results obtained f
 or both case studies demonstrate the potential of the proposed methodology
  for solving challenging control structure selection problems in an effici
 ent and effective way.\n\nBio: Associate Professor Ioannis K. Kookos holds
  a BSc degree in Chemical Engineering from the NTU of Athens and an MSc (D
 IC) and PhD from Imperial College (IC) London\, Centre for Process Systems
  Engineering. He has been a postdoctoral researcher at IC and then a lectu
 re at University of Manchester\, Institute of Science & Technology (UMIST)
 . In 2005 he joined the Dept of Chemical Engineering at the University of 
 Patras\, Greece as an Assistant Professor.\n\nHis research interests lie i
 n the fields of process design\, modeling and control. More recently his r
 esearch has focused on the development of mathematical programming techniq
 ues for the optimal design of bio-refinery systems for the production of p
 latform chemicals and bio-fuels and the implementation of circular economy
  for the valorization of industrial waste streams. He is a co-author in ap
 proximately 50 peer reviewed papers and 30 conference publications and aut
 hor of 3 books (in Greek). He has also supervised more that 40 Diploma\, M
 Sc and PhD students.\n 
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STATUS:CONFIRMED
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