The importance of the energy and commodity markets has steadily increased since the first oil crisis. The sustained use of energy and other resources has become a basic requirement for a company to competitively perform on the market. The modeling, analysis and assessment of dynamic production processes is often performed using simulation software. While existing approaches mainly focus on the consideration of resource consumption variables based on metrologically collected data on operating states, the aim of this work is to depict the energy consumption of production plants through the utilization of a continuous simulation approach in combination with a discrete approach for the modeling of material flows and supporting logistic processes. The complex interactions between the material flow and the energy usage in production can thus be simulated closer to reality, especially the depiction of energy consumption peaks becomes possible. An essential step towards reducing energy consumption in production is the optimization of the energy use of non-value-adding production phases.

About the author: Anna Carina Römer was an external doctoral student at the Department of Information Technology in Production and Logistics at the Technische Universität Ilmenau. The main focus of her research was on hybrid simulation models, with a focus on both the conceptual design of hybrid simulation models and the use of hybrid models for the optimization of energy consumption in production plants.

Autorentext

About the author:

Anna Carina Römer was an external doctoral student at the Department of Information Technology in Production and Logistics at the Technische Universität Ilmenau. The main focus of her research was on hybrid simulation models, with a focus on both the conceptual design of hybrid simulation models and the use of hybrid models for the optimization of energy consumption in production plants.

Inhalt
Combination of Simulation and Optimization.- Energy Saving Potentials and Energy Efficiency in Manufacturing.- Developement of a Simulation-based Methodology for Energy Efficiency Optimization.- Experimental Validation of the Methodology.- Evaluation of the Practical Applicability of the Simulation-based Optimization Methodology.