Look-Ahead to Minimize Energy Costs of CNC Milling Machines for a Volatile Energy Price

Kehne, Sebastian; Fimmers, Christian; Gründel, L.; Zender, Felix; Epple, Alexander; Storms, Simon; Brecher, Christian

doi:10.1109/iecon.2019.8927142

Cited by 1 publication

(1 citation statement)

References 16 publications

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“…However, no uniform data model is used in his work. Kehne et al [11] show that for the energy-flexible operation of a machine tool, the optimization of the process itself is also possible. In this approach, however, the machine operation is also carried out only according to volatile energy prices without taking into account the supply technology of the plant.…”

Section: Related Workmentioning

confidence: 99%

Holistic Approach for an Energy-Flexible Operation of a Machine Tool with Cooling Supply

et al. 2023

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The following paper examines the practicality of a methodical approach for energy-flexible and energy-optimal operation in the field of metal-cutting production. The analysis is based on the example of a grinding machine and its central cooling-supply system. In the first step, an energy-flexibility data model is built for each subsystem, which describes energy flexibility potentials generically. This is then extended to enable combined energy cost-optimal production planning. As a basis for the links between the data model representations, the cold flows between the subsystems are modeled using parameter-estimation methods, which have a mean absolute error of only 2.3 percent, making the subsequent installation of heat meters unnecessary. Based on the presented approach, the results successfully validate the possibility of energy-flexible cost-optimal and sensor-reduced production planning by reducing energy costs by 6.6 percent overall and 1.9 percent per workpiece produced.

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Section: Related Workmentioning

confidence: 99%