Projects per year
Organization profile
Introduction / mission
SPROC Lab focuses on challenges critical for the dynamic and flexible operation of chemical processes.
Organisational profile
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.
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. Our work contributes towards the following SDG(s):
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Profiles
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Jobert H.A. Ludlage
- Electrical Engineering, Dynamic Networks: Data-Driven Modeling and Control
- Electrical Engineering, Smart Process Operations and Control Lab
- Electrical Engineering, Control Systems - University Researcher
Person: OWP : University Teacher / Researcher
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Alejandro Marquez Ruiz
- Electrical Engineering, Smart Process Operations and Control Lab
- Electrical Engineering, Control Systems - University Researcher
Person: OWP : University Teacher / Researcher, OWP : University Teacher / Researcher
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SYSDYNET: Data-Driven Modeling in Dynamic Networks
Van den Hof, P. M. J., Van den Hof, P. M. J., Haesaert, S., Kivits, E. M. M. (., Weiland, S., Lazar, M., Donkers, M. C. F. (., Tóth, R., Steentjes, T. R. V., Ramaswamy, K., Ludlage, J. H. A., Dreef, H. J. (., Cheng, X., Nawijn, H., van der Hagen, D., Fonken, S. J. M. & Shi, S.
1/09/16 → 31/08/22
Project: Research direct
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INSPEC: Integrating Sensor Based Information and Advanced Process Control
Özkan, L., Mendez Blanco, C., Nawijn, H., Robles Rodriguez, C., Porru, M. & van der Hagen, D.
1/01/17 → 31/12/20
Project: Research direct
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A State and Output Sensitivity Controllability Approach for Structural Identifiability of Linear State Space Models
Mendez-Blanco, C. & Ozkan, L., 11 Jan 2021, 59th IEEE Conference on Decision and Control (CDC 2020). Institute of Electrical and Electronics Engineers, p. 294-299 6 p. 9304489Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
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Dynamic modeling of milk acidification: an empirical approach
Robles Rodriguez, C., Szymanska, E., Huppertz, T. & Özkan, L., 1 Jul 2021, In: Food and Bioproducts Processing. 128, p. 41-51 11 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile2 Citations (Scopus)13 Downloads (Pure) -
Local parameter identifiability of large-scale nonlinear models based on the output sensitivity covariance matrix
Mendez Blanco, C. & Özkan, L., 1 Jun 2021, In: IFAC-PapersOnLine. 54, 3, p. 415-420 6 p.Research output: Contribution to journal › Conference article › Academic › peer-review
Open AccessFile4 Downloads (Pure)
Prizes
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Journal of Process Control Paper Prize Award 2020-Survey Category
Saltik, M. B. (. (Recipient), Özkan, Leyla (Recipient), Ludlage, Jobert H.A. (Recipient), Weiland, Siep (Recipient) & Van den Hof, Paul M.J. (Recipient), 2020
Prize: Other › Career, activity or publication related prizes (lifetime, best paper, poster etc.) › Scientific
Activities
- 1 Conference
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29th European Symposium on Computer Aided Process Engineering (ESCAPE 29)
Leyla Özkan (Organiser)
Aug 2018 → Jul 2019Activity: Participating in or organising an event types › Conference › Scientific
Press / Media
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Research: Dynamic modeling of ultrafiltration membranes for whey separation processes
15/03/17
1 item of Media coverage
Press/Media: Expert Comment
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Dynamic modeling of ultrafiltration membranes for whey separation processes
14/03/17
1 item of Media coverage
Press/Media: Expert Comment
Student theses
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Active control of thermo-acoustic instabilities with ozone
Author: van Gool, C., 17 Jul 2020Supervisor: Hazenberg, T. (Supervisor 2), Özkan, L. (Supervisor 1) & van Oijen, J. (Supervisor 1)
Student thesis: Master
File -
Centralized and distributed identified model based predictive control for Museum Hermitage Amsterdam
Author: Chen, X., 22 Mar 2019Supervisor: Lazar, M. (Supervisor 1), Ludlage, J. (Supervisor 2), Van den Hof, P. (Supervisor 2) & Lefeber, E. (Supervisor 2)
Student thesis: Master
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LPV modelling and parameter estimation for reaction systems
Author: Prikken, D., 7 Sep 2018Supervisor: Ozkan, L. (Supervisor 1), Mendez Blanco, C. (Supervisor 2) & Van den Hof, P. (Supervisor 2)
Student thesis: Master