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SUMMARY:Demand Response Operation of Chemical Plants: Models and Computati
 onal Methods
DTSTART:20190425T160000
DTEND:20190425T170000
DTSTAMP:20260503T014709Z
UID:dda46b9af24df262b4fec7b2fd4df686be47ff7e5b20145e2b8d6114
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Michael Baldea.  Associate Professor and Frank A. Liddel
 l\, Jr. Centennial Fellow in the McKetta Department of Chemical Engineerin
 g\, and a core faculty member in the Institute for Computational Engineeri
 ng and Sciences (ICES) at The University of Texas at Austin.\nAbstract: de
 regulation and dynamic market conditions have created significant opportun
 ities for the engagement of industrial entities normally regarded as elect
 ricity consumers in the operation of the power grid. Chemical plants (e.g.
 \, air separation\, ammonia production\, chlor-alkali) are particularly pr
 omising candidates given their large power demand. Engaging in such activi
 ties (either demand response or providing ancillary services) calls for a 
 close coordination between business (planning\, scheduling) and process co
 ntrol decisions of a chemical plant. The integration of  business decisio
 ns with dynamic information from the control layer is a difficult task owi
 ng to the broad range of time scales involved in making the respective dec
 isions\, and the corresponding need to balance long-term prediction with r
 eal-time execution. In this presentation\, I will focus on recent developm
 ents that allow for a closer coordination between production scheduling an
 d supervisory control systems. I will introduce a new modeling framework\,
  based on capturing the input-output behavior of the chemical process and 
 its control system (whether multi-loop or MPC) in a low-dimensional model\
 , which is then used in scheduling calculations. I will discuss ways to ex
 ploit historical process operating data (which are available in most plant
 s\, practically “for free”) in building such models. I will also show 
 that the integrated scheduling-control problem can be cast as a mixed inte
 ger linear program that can be solved efficiently for problems of practica
 l interest. An industry-based case study concerning the demand-response op
 eration of an air separation plant will be discussed\, along with other in
 dustrial applications.\n\nThe seminar can also be followed remotely by joi
 ning the online Zoom meeting (connection possible 15 minutes before the ta
 lk).\nIn case of problem\, you can contact our IT support (37679 - it.vs@e
 pfl.ch )\n 
LOCATION:I17 4 K2 https://plan.epfl.ch/?room==I17%204%20K2
STATUS:CONFIRMED
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