Final Thesis

Development of optimization techniques for industrial energy system simulations with focus on operation and load-flexibility for a pilot project

Key Info

Basic Information

Process Systems Engineering
Focus/Key Topic:


Industrial energy systems are facing increased challenges regarding efficiency and flexibility. With this, the interaction of energy sources will become more important and the complexity of such systems will grow. Simulations will give engineers the tools to master this complexity.

With a model and simulation of energy flows, you will have different options for the analysis. Three main applications are

  • (i) design optimization;
  • (ii) operation optimization regarding efficiency and;
  • (iii) operation optimization based on permanent changing economic framework (Demand Side Management / Demand Response).

The task of this master thesis is to develop fitting target functions and algorithms for the operation optimization regarding Demand Response of an existing simulation (Matlab/Simulink). The optimization for the simulation should make use of standard optimization software (e.g. Matlab Optimization Toolbox, Global Optimization or other).

At first the relevant simulation parameters for the optimization have to be determined and evaluated for their variability. Furthermore the simulation structure has to be checked regarding the use of optimization tools. If needed, adjustments to the simulation have to be made.

The core task is to define the constraints for the optimization algorithms and to select the fitting solver. In depth understanding of the selected standard solver is of paramount importance. This is essential in evaluating the results of the optimization which can further provide guidance to obtain desirable results.

As we have a time-step based simulation where the variation of parameters has an impact on the actual time step and on the following steps, the definition of the constraints will be relevant for the quality of the results. The development of the thermodynamic based constraints will take place in cooperation with the designer of the simulation. So the main topics of the thesis are:

  • 1. Analysis of the existing energy system simulation and definition of the target function;
  • 2. Determination of the relevant optimization parameters including their variability;
  • 3. Selection of the solver function and programing of the constraints;
  • 4. Analysis of the optimization results regarding plausibility and evaluation of the relevance of single constraints.

Further on the analysis can be benchmarked with comparisons of monitoring data and operating schedules.

This master thesis is offered and supervised in cooperation with the engineering company emutec ENERGY LINK GmbH based in Oberursel, Frankfurt am Main.