Energy Efficient Process Control

Period: 1.1.2017 - 31.12.2020

Principal investigator: Miroslav Fikar

Scientific co-workers: Mészáros, Čirka, Valo, Kalúz, Jelemenský, Klaučo, Sharma

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

2017

  1. Čirka, Ľ. – Kalúz, M.: 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. Fikar, M.: 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. Jelemenský, M. – Paulen, R. – Fikar, M.: Time-optimal Batch Diafiltration under Fouling and Limiting Flux Conditions. In 10th World Congress of Chemical Engineering, vol. 10, 2017.
  4. Kalúz, M. – Čirka, Ľ. – Valo, R. – Fikar, M.: 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. Sharma, A. – Jelemenský, M. – Paulen, R. – Fikar, M.: 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. Sharma, A. – Jelemenský, M. – Paulen, R. – Fikar, M.: Modeling and optimal operation of batch closed-loop diafiltration processes. Chemical Engineering Research and Design, pp. 198–210, 2017.
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