Energy-Cost-Optimized Strategies for Discrete Mechanical Manufacturing

Schwaiger, Clemens; Trautner, Thomas; Bleicher, Friedrich

doi:10.1016/j.procir.2023.06.175

Record link:

http://hdl.handle.net/20.500.12708/211531

Title:

Energy-Cost-Optimized Strategies for Discrete Mechanical Manufacturing

Citation:

Schwaiger, C., Trautner, T., & Bleicher, F. (2023). Energy-Cost-Optimized Strategies for Discrete Mechanical Manufacturing. In 16th CIRP Conference on Intelligent Computation in Manufacturing Engineering (pp. 1022–1027). Elsevier. https://doi.org/10.1016/j.procir.2023.06.175

CatalogPlus:

AC17432018

Publisher DOI:

10.1016/j.procir.2023.06.175

Publication Type:

Inproceedings - Full-Paper Contribution

Language:

English

Authors:

Schwaiger, Clemens
Trautner, Thomas
Bleicher, Friedrich

Organisational Unit:

E311-01-3 - Forschungsgruppe Steuerungstechnik und integrierte Systeme
E311-01-1 - Forschungsgruppe Fertigungstechnologie
E311-01-2 - Forschungsgruppe Werkzeugmaschinen
E311-01-4 - Forschungsgruppe Fertigungsmesstechnik und adaptronische Systeme

Published in:

16th CIRP Conference on Intelligent Computation in Manufacturing Engineering

Volume:

118

Date (published):

Jan-2023

Event name:

16th CIRP International Conference on Intelligent Computation in Manufacturing Engineering (CIRP ICME ‘22)

Event date:

13-Jul-2022 - 15-Jul-2022

Event place:

Neapel, Italy

Number of Pages:

Publisher:

Elsevier

Peer reviewed:

Yes

Keywords:

day-ahead; demand response; demand side management; energy flexibility; energy price volatility; energy-cost-optimization; industry; intraday

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.

Project title:

MFP ("Multi-Firm-Project") 2.3: "Predictive Production System" - Engel Energieeffizienz: 881843 (FFG - Österr. Forschungsförderungs- gesellschaft mbH)

Research Areas:

Digital Transformation in Manufacturing: 10%
Sustainable Production and Technologies: 90%

Science Branch:

2030 - Maschinenbau: 70%
2020 - Elektrotechnik, Elektronik, Informationstechnik: 30%

License:

CC BY-NC-ND 4.0