OR4Sust

 

Operations Research(OR) for Sustainability: Energy, Mobility, Industry

ORCA.nrw Copyright: © FCN-ECO

Project duration: 4/2022 – 9/2024

Funded by: Ministerium für Kultur und Wissenschaft des Landes Nordrhein-Westfalen (MKW.NRW)

Project partners:

In this project, Operations Research for Sustainability: Energy, Mobility and Industry, FCN is working together with other chairs at RWTH Aachen University, Ruhr-Universität Bochum and the University of Duisburg-Essen on the development, implementation and dissemination of digital, model- and application-oriented teaching and learning opportunities in the subject area "Operations Research for Sustainability". The field of Operations Research (OR) offers decision-oriented, quantitative-predictive or prescriptive methods, such as linear programming or multi-criteria decision support, which can be used to evaluate and design complex energy, mobility and industrial systems. Such methods are particularly useful for studies of addressing the climate crisis and enhancing sustainability because they go beyond anectotic, single-case, and qualitative-descriptive approaches.

The suitability and necessity of such methods in the context of sustainability is demonstrated by numerous completed and ongoing research projects, as well as the widespread use of the methods in the energy, mobility, logistics, and industrial sectors. The application-oriented teaching of OR methods in the context of a degree program is didactically demanding.

In this cross-university collaboration, current problems and solution approaches from completed research projects on decision support for the sustainable design of energy and mobility systems as well as industrial value chains are processed in order to post them on the future state portal ORCA.nrw "Open Source" (www.orca.nrw). The methodological-didactic concept developed for this purpose is oriented towards methods and application possibilities that enable transfer to practical sustainability problems in particular.

Case studies from NRW and other current German research projects serve as learning objects (FCN shows e.g. the portfolio optimization of power plants). On the basis of these case studies, students should learn to identify and describe decision problems in order to subsequently develop optimal proposals for action under consideration of certain prerequisites and boundary conditions.

Contact

Name

Qinghan Yu

Research Associate

Phone

work
+49 241 80-49842

Email

E-Mail