Smart Process Operations and Control (SPROC) Lab

  • Groene Loper 19, Flux

    5612 AP Eindhoven


  • P.O. Box 513, Department of Electrical Engineering

    5600 MB Eindhoven



Introductie / missie

SPROC Lab focuses on challenges critical for the dynamic and flexible operation of chemical processes.

Over de organisatie

We aim to provide technology that enables chemical process industry maintain its competitiveness in the face of developments such as Industry 4.0, electrification of process industry, circular economy and green transition. The consequence of these developments for process industry means

• Tightly integrated physical network,
• Wide range of feedstocks,
• Dynamic multiple energy sources and market prices
• Relevant information from big data

In order to address the needs of the process industry, SPROC Lab focuses on developing theory and methods in the area of modeling for control combining physical knowledge and process data, model alignment and maintenance, model based operation support technology such as model predictive control, real time optimization, interaction of scheduling and control. Additionally, SPROC investigates the integration of process design and control for intensified chemical systems and forced dynamic operation of heterogeneously catalyzed chemical reactions.

Vingerafdruk Verdiep u in de onderzoeksgebieden waarop Smart Process Operations and Control (SPROC) Lab actief is. Deze onderwerplabels komen uit het werk van de leden van deze organisatie. Samen vormen ze een unieke vingerafdruk.

  • Netwerk Recente externe samenwerking op landenniveau. Duik in de details door op de stippen te klikken.



    Constrained control and estimation of homogeneous reaction systems using extent-based Linear Parameter Varying models

    Marquez Ruiz, A., Mendez Blanco, C. & Özkan, L., 12 feb 2020, In : Industrial and Engineering Chemistry Research. 59, 6, blz. 2242-2251 10 blz.

    Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

    Open Access
  • 12 Downloads (Pure)

    Dynamic modeling of milk acidification for product design and process control

    Porru, M., Ozkan, L., Huppertz, T. & Szymanska, E., 9 okt 2019.

    Onderzoeksoutput: Bijdrage aan congresPosterAcademic

    Integration of Max-plus-linear scheduling and control

    Dirza, R., Marquez Ruiz, A., Ozkan, L. & Mendez Blanco, C., 25 jul 2019, In : Computer Aided Chemical Engineering. 46, blz. 1279-1284 6 blz.

    Onderzoeksoutput: Bijdrage aan tijdschriftCongresartikelAcademicpeer review

  • 2 Downloads (Pure)


    29th European Symposium on Computer Aided Process Engineering (ESCAPE 29)

    Leyla Özkan (Organisator)
    aug 2018jul 2019

    Activiteit: Types deelname aan of organisatie van een evenementCongresWetenschappelijk


    Research: Dynamic modeling of ultrafiltration membranes for whey separation processes

    Leyla Özkan


    1 item van Media-aandacht

    Pers / media: Vakinhoudelijk commentaar

    Dynamic modeling of ultrafiltration membranes for whey separation processes

    Leyla Özkan


    1 item van Media-aandacht

    Pers / media: Vakinhoudelijk commentaar


    Centralized and distributed identified model based predictive control for Museum Hermitage Amsterdam

    Auteur: Chen, X., 22 mrt 2019

    Begeleider: Lazar, M. (Afstudeerdocent 1), Ludlage, J. (Afstudeerdocent 2), Van den Hof, P. (Afstudeerdocent 2) & Lefeber, E. (Afstudeerdocent 2)

    Scriptie/masterproef: Master

    LPV modelling and parameter estimation for reaction systems

    Auteur: Prikken, D., 7 sep 2018

    Begeleider: Ozkan, L. (Afstudeerdocent 1), Mendez Blanco, C. (Afstudeerdocent 2) & Van den Hof, P. (Afstudeerdocent 2)

    Scriptie/masterproef: Master

    Reactive scheduling of manufacturing plants using a safety driven modelling approach

    Auteur: van Gameren, S., 22 jun 2017

    Begeleider: Saltik, B. (Afstudeerdocent 1) & Ozkan, L. (Afstudeerdocent 2)

    Scriptie/masterproef: Master