Course

Planning of production networks for alternative fuels

About this Content OER

You will learn to set up a suitable MILP model for integrated location, capacity and technology planning for synthetic fuels under abstracting assumptions, to implement it in Python and to solve it using the Gurobi solver, as well as to derive recommendations for action by analyzing the optimization results. You will use the generic OR model of the Warehouse Location Problem and learn to adapt it to a subject-specific model.

 

The project "OR4Sustainability" has also created further offers: 

Case Study "Novel flexibility options in the German electricity grid"

"Multi-objective planning of production networks for alternative fuels"

Case Study "Exploring possibilities fot decarbonising households' energy demand"

Case Study "Life cycle assessment and multi-criteria evaluation using the example of a wind turbine"

Tags and Topics

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Image by Markus Spiske on Pixabay

  • Author
    Stephan Bogs
    Johanna Rott
    Grit Walther
  • Faculty
    Engineering
  • Format
    Course
  • Licence

    "Planning of production networks for alternative fuels" by Stephan Bogs, Johanna Rott, Grit Walther, CC-BY-SA (4.0)

  • Date of Publication
    Tue, 10/22/2024 - 14:26 (updated on Wed, 10/23/2024 - 14:49)
  • Language of the Content
    Deutsch