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The increasing share of volatile renewable energy sources leads to new challenges for the power system. Flexible operation of power consumers is getting more important to keep power generation in balance with power consumption. Large potential loads are available in the industrial sector. Flexibility of these large loads is hard to utilize and requires consideration of the specific operational constraints. In the automotive industry test rigs for the development of cars or components, like engine or gearbox, exist, which are characterized by a high energy demand. In this work the idea of an energy-aware scheduling concept for test rigs in the automotive industry is presented. The goal is to provide an optimized schedule based on internal (e. g., prediction of local power generation) or external (e. g., electricity prices) signals. To this end, a methodological approach for the classification, identification and selection of suitable test rigs is presented. Based on this, a model of the test rigs has to be developed which can be used in a simulation to evaluate the optimization algorithm. Finally, the need for design guidelines for the implementation of an energy-aware test rig scheduling in a real-world evaluation environment are discussed.

Load flexibility in an industrial setting: Energy-aware test rig scheduling in the automotive industry