Project number:
VEGA 1/0004/17
Title of the project:
Energy Efficient Process Control
Grant scheme:
VEGA
Project type:
VEGA Research Projects
Project duration (start):
01.01.2017
Project duration (end):
31.12.2020
Principal investigator:
Miroslav Fikar
Deputy investigator:
Alajos Mészáros
Investigators:
Ľuboš Čirka, Filip Janeček, Martin Jelemenský, Martin Kalúz, Martin Klaučo, Martin Mojto, Daniela Pakšiová, Radoslav Paulen, Ayush Sharma, Carlos E. Valero, Petra Valiauga, Richard Valo

Goals:

The scientific project focuses on design of process control in chemical and food technologies. The main aim is to stress efficiency and optimality from the energy usage point of view. We will mainly investigate two types of processes: membrane filtration and heat transfer processes. Membrane processes will be studied both theoretically and practically for energy consumption reduction and design of optimal operation. As far as heat transfer processes are concerned, we will treat heat-exchanger networks and energetically optimal control of distillation columns.

Theoretical aspects of the project will use techniques of optimal and predictive control as well as self-optimising control structures that make possible to control processes close to optimal regime without any computationally demanding online optimising strategies. The aim of the project is to design such procedures that will be usable for minimisation of energy in steady-states for continuous-type of processes as well as in transient situations for batch processes.

The obtained results will be published at important scientific conferences and in journals with a high impact factor. Also, they will be implemented in software open-source packages available in Internet.

Keywords:

Process Control, Energy Consumption Reduction, Optimal Process Operation

Anotation:

The scientific project focuses on design of process control in chemical and food technologies. The main aim is to stress efficiency and optimality from the energy usage point of view. We will mainly investigate two types of processes: membrane filtration and heat transfer processes. Membrane processes will be studied both theoretically and practically for energy consumption reduction and design of optimal operation. As far as heat transfer processes are concerned, we will treat heat-exchanger networks and energetically optimal control of distillation columns. The designed control algorithms, controllers, and control structures will be tested in simulations and in laboratory conditions.

Publications

2020

  1. M. KalúzĽ. ČirkaM. Fikar: ELab: A Lightweight SCADA System for Control Engineering Research and Education. Editor(s): Rolf Findeisen, Sandra Hirche, Klaus Janschek, Martin Mönnigmann, In Preprints of the 21st IFAC World Congress (Virtual), Berlin, Germany, July 12-17, 2020, vol. 21, pp. 17469–17474, 2020.
  2. Z. Kovacs – J. Števek – M. Fikar – P. Czermak: Kinetic behavior of soluble Pectinex Ultra SP-L converting sucrose into fructo-oligosaccharides in batch and continuous fashion. Progress in Agricultural Engineering Sciences, no. 1, vol. 16, pp. 81–97, 2020.
  3. M. Mojto – K. Ľubušký – M. FikarR. Paulen: Advanced Process Control of an Industrial Depropanizer Column using Data-based Inferential Sensors. Editor(s): Sauro Pierucci, Flavio Manenti, Giulia Luisa Bozzano, Davide Manca, In 30th European Symposium on Computer Aided Process Engineering, Elsevier, vol. 30, pp. 1213–1218, 2020.
  4. R. Paulen – L. Gomoescu – B. Chachuat: Nested Sampling Approach to Set-membership Estimation. Editor(s): Rolf Findeisen, Sandra Hirche, Klaus Janschek, Martin Mönnigmann, In Preprints of the 21st IFAC World Congress (Virtual), Berlin, Germany, July 12-17, 2020, vol. 21, pp. 7318–7323, 2020.     arXiv

2019

  1. Ľ. ČirkaM. KalúzD. Dzurková – R. Valo: Educational Device Flexy2 in the Teaching of Experimental Identication. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 22nd International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, pp. 239–244, 2019.
  2. M. Fikar: Optimal Control of Membrane Processes. In Process Systems Engineering (PSE) Asia, Chulalongkorn Unviersity, Bangkok, Thajsko, pp. 6–6, 2019.
  3. A. R. Gottu Mukkula – R. Paulen: Optimal experiment design in nonlinear parameter estimation with exact confidence regions. Journal of Process Control, vol. 83, pp. 187–195, 2019.
  4. M. KalúzM. KlaučoĽ. ČirkaM. Fikar: Flexy2: A Portable Laboratory Device for Control Engineering Education. In 12th IFAC Symposium Advances in Control Education, pp. 159–164, 2019.
  5. M. Mojto – K. Ľubušký – M. FikarR. Paulen: Design of Data-based Inferential Sensors for Industrial Depropanizer Column. Editor(s): G. Léonard and F. Logist, In Computer Aided Process Engineering, CAPE Forum, pp. 12–13, 2019.
  6. M. Mojto – K. Ľubušký – R. PaulenM. Fikar: Advanced Process Control of a Depropanizer Column. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 22nd International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, 2019.
  7. M. Mojto – R. Paulen – K. Ľubušký – M. Fikar: Modelling and Analysis of Control Pairings of an Industrial Depropanizer Column. In Advanced Process Modelling Forum 26-27 March 2019, pp. 5–6, 2019.
  8. R. PaulenM. Fikar: Dynamic real-time optimization of batch processes using Pontryagin’s minimum principle and set-membership adaptation. Computers & Chemical Engineering, vol. 128, pp. 488–495, 2019.
  9. R. PaulenM. Fikar: Dual-Control-Based Approach to Batch Process Operation under Uncertainty Based on Optimality-Conditions Parametrization. Industrial & Engineering Chemistry Research, no. 30, vol. 58, pp. 13508–13516, 2019.
  10. A. Sharma – R. Valo – M. KalúzR. PaulenM. Fikar: Implementation of optimal strategy to economically improve batch membrane separation. Journal of Process Control, vol. 76, pp. 155–164, 2019.
  11. C. E. Valero – R. Paulen: Set-Theoretic State Estimation for Multi-output Systems using Block and Sequential Approaches. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 22nd International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, pp. 268–273, 2019.
  12. C. E. Valero – R. Paulen: Effective Recursive Set-membership State Estimation for Robust Linear MPC. In 12th IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems DYCOPS 2019, Elsevier, pp. 486–491, 2019.
  13. P. Valiauga – R. Paulen: Moving-horizon Guaranteed Parameter Estimation: Influence of the Measurement Error. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 22nd International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, pp. 256–261, 2019.
  14. P. Valiauga – R. Paulen: Moving-horizon Guaranteed Parameter Estimation. In 12th IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems DYCOPS 2019, Elsevier, pp. 112–117, 2019.

2018

  1. P. BakaráčM. KlaučoM. Fikar: Comparison of Inverted Pendulum Stabilization with PID, LQ, and MPC Control. Editor(s): J. Cigánek, Š. Kozák, A. Kozáková, In 2018 Cybernetics & Informatics (K&I), Slovak Chemical Library, Bratislava, Lazy pod Makytou, Slovakia, vol. 29, 2018.
  2. M. KalúzĽ. ČirkaM. Fikar: Flexy: An Open-source Device for Control Education. Editor(s): Cardoso, A., In 13th APCA International Conference on Automatic Control and Soft Computing, Nova Gráfica, Univesrity of the Azores, Ponta Delgada, Portugal, pp. 37–42, 2018.
  3. R. PaulenM. Fikar: Dual robust control of batch processes based on optimality-conditions parameterization. In Preprints, 10th IFAC International Symposium on Advanced Control of Chemical Processes Shenyang, Liaoning, China, July 25-27, 2018, Elsevier, pp. 768–773, 2018.
  4. R. Paulen – A. Sharma – M. Fikar: Dynamic Real-time Optimization of Batch Membrane Processes using Pontryagin’s Minimum Principle. Editor(s): Anton Friedl, Jiří J. Klemeš, Stefan Radl, Petar S. Varbanov, Thomas Wallek, In 28th European Symposium on Computer Aided Process Engineering, Elsevier, vol. 28, pp. 1045–1050, 2018.
  5. U. Sharma – S. Thangavel – A. R. Gottu Mukkula – R. Paulen: Effective Recursive Parallelotopic Bounding for Robust Output-Feedback Control. In 18th IFAC Symposium on System Identification, IFAC, pp. 1032–1035, 2018.
  6. A. Sharma – R. Valo – M. KalúzR. PaulenM. Fikar: Experimental validation and comparison of time-optimal and industrial strategy for membrane separation process. In Preprints of the 9th Vienna International Conference on Mathematical Modelling, Vienna, Austria, February 21-23, 2018, pp. 869–874, 2018.
  7. S. Thangavel – S. Lucia – R. Paulen – S. Engell: Dual robust nonlinear model predictive control: A multi-stage approach. Journal of Process Control, vol. 72, pp. 39–51, 2018.

2017

  1. Ľ. ČirkaM. Kalúz: A Web-based Tool for Design of Simulink Models. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 21st International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, pp. 92–97, 2017.
  2. M. Fikar: Optimal Control of Batch Membrane Processes (in Slovak). Editor(s): Zdeněk Palatý, In Membránové procesy pro udržitelný rozvoj, Česká membránová platforma, z.s, 2017.
  3. M. Jelemenský – R. PaulenM. Fikar: Time-optimal Batch Diafiltration under Fouling and Limiting Flux Conditions. In 10th World Congress of Chemical Engineering, vol. 10, 2017.
  4. M. KalúzĽ. Čirka – R. Valo – M. Fikar: Lab of Things: A Network-Based I/O Services for Laboratory Experimentation. In Preprints of the 20th IFAC World Congress, Toulouse, France, vol. 20, pp. 14028–14033, 2017.
  5. A. Sharma – M. Jelemenský – R. PaulenM. Fikar: Optimal Operation of Nanofilter Based Diafiltration Processes Using Experimental Permeation Models. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 21st International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, pp. 185–190, 2017.
  6. A. Sharma – M. Jelemenský – R. PaulenM. Fikar: Modeling and optimal operation of batch closed-loop diafiltration processes. Chemical Engineering Research and Design, vol. 122, pp. 198–210, 2017.

Investigators

2017

  1. Ľuboš Čirka
  2. Miroslav Fikar
  3. Filip Janeček
  4. Martin Jelemenský
  5. Martin Kalúz
  6. Martin Klaučo
  7. Alajos Mészáros
  8. Daniela Pakšiová
  9. Ayush Sharma
  10. Richard Valo
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