Mixed-integer programming methods for optimal operation of district heating networks

Bachelor Thesis Presentation

Lukas Schmidt-Engelbertz

University of Freiburg

Tuesday, May 16, 2023, 11:00 - Saturday, May 06, 2023, 11:59

SR 01-012

This thesis contributes in three ways. First, we develop a Mixed-Integer Linear Program (MILP) formulation for the optimization of large-scale multi-source district heating networks, taking into account both the technical specifications of the suppliers, and thermal energy storage as well as a simple model of network dynamics. Second, we perform a computational analysis to evaluate the efficiency of different formulations and to compare the performance of commercial and open-source solvers. Thirdly, the applicability of the established MILP model to Model Predictive Control algorithms is demonstrated in a case study analyzing the network of Weil am Rhein in Germany.