After successful completion of the course, students are able to...
The (energy-) efficiency of industrial companies can often be significantly increased by precisely arranging the design and operation of all components. Due to the complexity and dynamics of industrial processes, this potential can only be exploited with computer-aided optimization. In this course, students learn to formulate mathematical optimization problems and to solve them using appropriate methods. The focus lies on mixed-integer-linear optimization (MILP) and suitable linearization methods to approximate nonlinear plant behavior appropriately.
• Each lesson consists of a lecture part with subsequent exercise part.• Independent study of the examples, as well as submission and discussion of the results.