Duration
12h Th, 12h Pr
Number of credits
| Master in environmental bioengineering (120 ECTS) | 2 crédits |
Lecturer
Language(s) of instruction
French language
Organisation and examination
Teaching in the first semester, review in January
Schedule
Units courses prerequisite and corequisite
Prerequisite or corequisite units are presented within each program
Learning unit contents
Eco-design is at the heart of energy and ecological transitions. It consists in integrating environmental performance in the design phase in order to limit undesirable consequences on the environment and health. Digital eco-design can take various forms. The environmental performance of digital services, which aims at their improvement throughout their life cycle (production, use and end of life), both inside and outside the company and also the development of digital solutions designed to reduce an environmental problem.
The purpose of the course is to train future engineers to this last form, the development of eco-solutions whose environmental impact must be much lower than the benefits they generate for the environment.
The eco-design course is a course of the systems engineering/production sciences discipline. It aims at optimizing production processes according to a set of criteria, and in particular environmental criteria in the field of bioengineering. This very general approach implements "virtual engineering" which is based on the numerical representation (modeling) of physical entities and their environment. The underlying paradigm is the 'Digital Twin' which is based on these digital representations and their continuous update through their twinning with the physical entity using connected digital devices.
After providing an overview of the problem of environmental performance of human activities and the evolution of its consideration in the design process, the course presents the eco-design approach to the environment using digital tools through themes of intervention of the bio-engineer.
The students will be led to transpose the concepts seen in the theoretical course to an original bio-engineering problematic in a practical application based on scientific literature that uses Python programming for its implementation and UML for it's analysis. The case-study this year is Agrivoltaïcs or indoor agriculture.
Learning outcomes of the learning unit
At the end of the course, the student should be able to apply the concepts allowing to design a digital eco-solution allowing to reduce the environmental impact of human activities in the field of bio-engineering by means of digital tools.
Furthermore, he will be able to mobilize the sciences of product design in a data-driven approach by mobilizing the concepts and methods of the digital twin.
Prerequisite knowledge and skills
Physics (Optics, mechanics, fluid mechanics,..)
Biology (plant and animal physiology,..)
Chemestry
Systems dynamics (dynamic modelization)
Programming
Planned learning activities and teaching methods
Ex-cathedra class
Project
Mode of delivery (face to face, distance learning, hybrid learning)
Hybrid learning
Recommended or required readings
Jones, D., Snider, C., Nassehi, A., Yon, J., & Hicks, B. (2020). Characterising the Digital Twin: A systematic literature review. CIRP Journal of Manufacturing Science and Technology, 29, 36-52. https://doi.org/10.1016/j.cirpj.2020.02.002
https://www.openlca.org/
Exam(s) in session
Any session
- In-person
oral exam
- Remote
oral exam
Written work / report
Additional information:
Report and oral presentation
Work placement(s)
Organisational remarks and main changes to the course
Contacts
f.lebeau@uliege.be