Mathematical Optimization of Heating Networks

The decarbonization of heat generation plays a major role in limiting climate change. The generation of heat from electrical energy (power-to-heat) can make a major contribution to maintaining low-CO2 heat and offer an alternative for electricity storing.

The appropriate expansion of the heating networks plays a special role in this, in order to enable a flexible balance between heat generators, storage tanks and consumers. The EnEff:Wärme – MeFlexWärme project deals with research in the areas of network transparency, flexibility control and mathematical optimization of heating networks.

In the mathematical modelling of heating networks an important role play nonlinear equations and discrete decisions. As part of the project we are dealing with the modeling and the global optimal solving of the mixed-integer non-linear optimization problems (MINLP) that arise from it. The aim is to create good solvability of the model with the highest possible accuracy.

Contact: , ,

Duration: January 2020 – December 2022 (supported by Bundesministerium für Wirtschaft und Energie – BMWi)

Project partners: Technische Universität Darmstadt (head), Siemens AG, Entega AG

Involved departments of TU Darmstadt: Optimization, EINS, PTW, TTD, MMES