Model-based electrical energy analysis of industrial automation systems

Energy optimization is one of the key challenges of the next decades. A first step for mitigation was made by research in the field of optimized technologies for energy consuming components, energy generation and energy transport. Despite this, energy optimization of complex systems during their operation time, regarding human-machine-interaction, has remained a challenge. This contribution proposes a model-based approach for electrical energy analysis of industrial automation systems. The approach serves as basis for decisions related to energy optimization issues. It considers the influences on the system's energy consumption, so that it allows a holistic view on energy consumption causes. Hence, a targeted selection of energy optimization measures becomes possible.