Duration
20h Th, 32h Pr, 1d FW
Number of credits
| Master of Science (MSc) in Chemical and Materials Engineering | 4 crédits |
Lecturer
Language(s) of instruction
English language
Organisation and examination
Teaching in the second semester
Schedule
Units courses prerequisite and corequisite
Prerequisite or corequisite units are presented within each program
Learning unit contents
The course consists in 3 parts related to the detailed study of chemical engineering processes. First, an introduction to process optimization is provided: numerical optimization methods, solving approaches, basics of process intensification. In the second module, the dynamic modelling of chemical processes is studied: formulation, analysis of the degrees of freedom, and introduction to the control of processes. The last module gives an insight into computer-aided data treatment (data validation and reconciliation, industry 4.0).
Learning outcomes of the learning unit
The first part of this course will study the optimization of large chemical processes through the choice of operating parameters that minimize the process impact from energy, environment and raw materials consumption points of view.
The second part will enable the students to further use some simulation software for static simulation and to get an introduction to dynamic modelling of large chemical processes. This will complete the presentation of the dynamics and control of linear systems that has been made in the Bachelor courses. It enables the students to use software tools based on rigorous non-linear models for applications ranging in process control and performance follow-up of integrated chemical processes.
The last part insists on the importance of reliable data for process analysis and optimisation, mentions the role of measurement rendundancy, and gives the necessary tools to apprehend data reconciliation using the Belsim software. It also covers new topics related to the digitalization of the process industry.
This course contributes to the learning outcomes I.2, II.1, II.2, III.1, III.2, IV.1, IV.3, IV.4, IV.5, V.1, VI.1, VI.2, VII.1, VII.2, VII.4, VII.5, VII.6 of the MSc in chemical and material science engineering.
Prerequisite knowledge and skills
Basics of process modelling and analysis of systems, such as what can be acquired in the course CHIM0695 - Introduction to the modeling of chemical processes.
Planned learning activities and teaching methods
The course will consist in lectures and practical classes. Intervention from external expert from the industry (F. Logist, BASF) is planned about advanced process modelling.
Mode of delivery (face to face, distance learning, hybrid learning)
Face-to-face course
Additional information:
Course held in the spring semester. Course in English.
Recommended or required readings
Documents available on eCampus
Exam(s) in session
Any session
- In-person
written exam AND oral exam
Written work / report
Additional information:
The grade will be determined based on
- the oral examination about theory
- practical class reports
- A short presentation (180s) in the module about process control
The oral examination allows for a written preparation (~1h, no materials allowed) before discussion with the professor.
There is no second session for the practical classes, but the grade achieved in first session can be kept for the second session. It is necessary to attend the practical classes and to deliver the expected reports in order to be allowed to take the oral examination.
Work placement(s)
Organizational remarks
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Contacts
Grégoire Léonard (g.leonard@uliege.be)