Abstract
The German Energiewende is a substantial project posing many challenges. One is the maintainance of grid quality and stability that can be met by demand side management. Our research interest within the innovation cluster ER-WIN® is to estimate the economic potential of demand side management from the perspective of a producing company. Therefore, we modelled the production scheme of a case example, namely a sand processing facility, as a Mixed-Integer-Program. This paper presents how we integrated continuous and discontinuous processes while preserving a satisfactory computing time.
Keywords
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Bundesministerium für Wirtschaft und Energie (Hg.) (2015): Ein Strommarkt für die Energiewende. Ergebnispapier des Bundesministeriums für Wirtschaft und Energie (Weißbuch).
Gils, Hans Christian. (2014). Assessment of the theoretical demand response potential in Europe. Energy, 67, 1–18. https://doi.org/10.1016/j.energy.2014.02.019.
Hoogsteen, G., Molderink, A., Hurink, J. L., & Smit, G. J. M. (2016). Generation of flexible domestic load profiles to evaluate demand side management approaches. IEEE International Energy Conference (ENERGYCON) (pp. 1–6). Belgium: Leuven.
Kabelitz, S., & Streckfuß, U. (2014). ZWF Artikel Energieflexibilität 2014. Ein analytischer Identifikationsansatz. ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb, 109((1–2)), 43–45.
Matke, Martin. (2015). Energieorientierte Produktionsplanung am Beispiel eines Sandaufbereitungswerkes mithilfe von IBM ILog CPLEX. Magdeburg: Otto-von-Guericke Universität.
Neugebauer, Reimund (2016): Ressourceneffizienz. Schlüsseltechnologien für Wirtschaft & Gesellschaft. [Place of publication not identified]: Springer Science and Business Media; Springer.
Paulus, Moritz, & Borggrefe, Frieder. (2011). The potential of demand-side management in energy-intensive industries for electricity markets in Germany. Applied Energy, 88(2), 432–441. https://doi.org/10.1016/j.apenergy.2010.03.017.
Reinhart, G., Graßl, M., & Datzmann, S. (2014). Methode zur Bewertung der Energieflexibilität. wt Werkstattstechnik online (Vol. 5, pp. 313–319)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG, part of Springer Nature
About this paper
Cite this paper
Kabelitz, S., Matke, M. (2018). Production Process Modeling for Demand Management. In: Kliewer, N., Ehmke, J., Borndörfer, R. (eds) Operations Research Proceedings 2017. Operations Research Proceedings. Springer, Cham. https://doi.org/10.1007/978-3-319-89920-6_36
Download citation
DOI: https://doi.org/10.1007/978-3-319-89920-6_36
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-89919-0
Online ISBN: 978-3-319-89920-6
eBook Packages: Business and ManagementBusiness and Management (R0)