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Electric Load Management on Machine Tools

Abele, Eberhard and Schraml, Philipp and Moog, Daniel (2016):
Electric Load Management on Machine Tools.
In: Procedia CIRP, 5th CIRP Global Web Conference – Research and Innovation for Future Production, Elsevier B.V., pp. 164-169, 55, ISSN 2212-8271, [Online-Edition: http://dx.doi.org/10.1016/j.procir.2016.08.046],
[Article]

Abstract

Today, the need for a more economic handling of energy in the production context is urgent. Moreover, structural changes in the energy market are taking place due to a growing share of renewable energy sources in power generation. These circumstances require solutions to reduce and flexibilize the electric load demand of production facilities. Machine tools are subject to a wide range of applications. Besides, they integrate diverse cross-sectional technologies. Therefore, research results regarding the optimization of the load demand of machine tools can serve as a basis for the optimization of the power intake of numerous production machines. In this context, the paper at hand presents a two-step approach to optimize the electric load demand of machine tools in productive state. In a first step, a potentials analysis is carried out to identify modules suitable for load demand control. Additionally, the amount of achievable peak load reductions through managing the load for a specific use case (primary process and designated machine tool) is determined. The potentials analysis considers the load demand of auxiliary modules of a machine as well as the module-specific control mode and internal operational concept. If a sufficient potential can be detected, the actual optimization of the load profile of the machine in productive state is carried out in a subsequent step. The optimization process seeks to incorporate the independently controlled auxiliary units into a global control concept. The aim of the optimization is to find an operating schedule for the considered auxiliary units leading to a cumulative load profile featuring desired load objectives. These load objectives can be peak minimization, flexibilization, or smoothing.

Item Type: Article
Erschienen: 2016
Creators: Abele, Eberhard and Schraml, Philipp and Moog, Daniel
Title: Electric Load Management on Machine Tools
Language: English
Abstract:

Today, the need for a more economic handling of energy in the production context is urgent. Moreover, structural changes in the energy market are taking place due to a growing share of renewable energy sources in power generation. These circumstances require solutions to reduce and flexibilize the electric load demand of production facilities. Machine tools are subject to a wide range of applications. Besides, they integrate diverse cross-sectional technologies. Therefore, research results regarding the optimization of the load demand of machine tools can serve as a basis for the optimization of the power intake of numerous production machines. In this context, the paper at hand presents a two-step approach to optimize the electric load demand of machine tools in productive state. In a first step, a potentials analysis is carried out to identify modules suitable for load demand control. Additionally, the amount of achievable peak load reductions through managing the load for a specific use case (primary process and designated machine tool) is determined. The potentials analysis considers the load demand of auxiliary modules of a machine as well as the module-specific control mode and internal operational concept. If a sufficient potential can be detected, the actual optimization of the load profile of the machine in productive state is carried out in a subsequent step. The optimization process seeks to incorporate the independently controlled auxiliary units into a global control concept. The aim of the optimization is to find an operating schedule for the considered auxiliary units leading to a cumulative load profile featuring desired load objectives. These load objectives can be peak minimization, flexibilization, or smoothing.

Journal or Publication Title: Procedia CIRP, 5th CIRP Global Web Conference – Research and Innovation for Future Production, Elsevier B.V.
Volume: 55
Uncontrolled Keywords: energy control; load management; machine tools
Divisions: 16 Department of Mechanical Engineering
16 Department of Mechanical Engineering > Institute of Production Management, Technology and Machine Tools (PTW)
16 Department of Mechanical Engineering > Institute of Production Management, Technology and Machine Tools (PTW) > Sustainable Production (new name since 01.07.2018 ETA Energy Technologies and Applications in Production)
Date Deposited: 24 Nov 2016 14:08
Official URL: http://dx.doi.org/10.1016/j.procir.2016.08.046
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