The laboratory "Computational Modelling in LCA" aims at providing the students with scientific modelling and programming tools to perform more comprehensive Life Cycle Assessment (LCA) studies for emerging technologies.
Brightway is an open source framework for life cycle assessment (LCA). It is designed to be easy to use, while still being powerful. The core principles of Brightway are simplicity, innovation, and power. Brightway is for people who want more than is possible with current LCA or sustainability software. Researchers and academics are particularly suitable, because the power that Brightway brings is worth the cost of learning a new software and possibly a new language.
(by C. Mutel, Brightway LCA Software Framework)
The laboratory "Computational Modelling in LCA" is particularly directed at students of mechanical engineering, industrial engineering, but also at students from other disciplines such as Technology-Oriented Management (TOM), geoecology and environmental sciences. The laboratory is offered through the Master's program in mechanical engineering focusing on production and systems engineering. An updated list of elegible courses of study can be seen in the module handbook (Modulhandbuch) provided by the Technische Universität Braunschweig. The laboratory is taught in English.
Semester: Winter term
Dates: The laboratory will take place in form of two block events (one of two and one of three consecutive days). It is mandatory to attend all five days.
Anticipated appointment: First block course: 17th and 18th Dec 2025 (perspectively). Second block course: tba soon. Further information and changes will be announced on Stud.IP.
Location: on site (compulsory attendance on all five lab days)
ECTS: 2
Registration: To participate in the laboratory, please register in Stud.IP for the following course: "Computational Modelling in LCA". In order to attend the laboratory, you must be attending or have attended the lecture Life Cycle Assessment for sustainable engineering.
A written report of the practical laboratory work will be evaluated as course achievement.
Number of Participants: Max. 10 students