<div class="csl-bib-body">
<div class="csl-entry">Schwaiger, C., Trautner, T., & Bleicher, F. (2023). Energy-Cost-Optimized Strategies for Discrete Mechanical Manufacturing. In <i>16th CIRP Conference on Intelligent Computation in Manufacturing Engineering</i> (pp. 1022–1027). Elsevier. https://doi.org/10.1016/j.procir.2023.06.175</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/211531
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dc.description.abstract
Ongoing electrification on the demand side, a growing share of mostly weather-dependent renewable energy, and the further liberalization of trading lead to increased price volatility of electrical energy. Thus, industrial companies dependent on electrical energy to run production processes need to mitigate the resulting increase in energy costs. Based on Austrian energy pricing and the current market for electrical energy within the synchronous grid of Continental Europe, this paper proposes three basic strategies: (1) reducing the energy demand through efficiency, (2) optimizing energy purchasing through anticipation or determination of the load profile and (3) avoiding load peaks caused by simultaneities.
en
dc.description.sponsorship
FFG - Österr. Forschungsförderungs- gesellschaft mbH