Skip to main content
SpringerLink
Log in

Future power markets

Impacts of consumer response and dynamic retail prices on electricity markets

  • WI - Schwertpunktaufsatz
  • Published:
WIRTSCHAFTSINFORMATIK

Abstract

In this article we discuss the impact of the increasingly higher dynamics and transparency on future electricity markets due to a higher degree of automation along the energy supply chain. As part of the SESAM (Self Organization and Spontaneity in Liberalized and Harmonized Markets) project, we analyze the consequences of the customers’ higher willingness to change their supplier. In addition, we evaluate the major changes in load profiles caused by the use of load management systems in combination with dynamic retail electricity prices. We demonstrate that not only the consumer load but also the application of decentralized combined heat and power plants can be rescheduled. Finally, we outline further research activities.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Arbeitsgemeinschaft Tarifstudie Saarland, Frauenhofer-Institut für Systemtechnik und Innovationsforschung, Infratest Sozialforschung, Sinus: Die Tarifstudie Saarland. Technical Report, Saarbruecken 1992.

  2. Deutsche Energie-Agentur (dena): Energiewirtschaftliche Planung für die Netzintegration von Windenergie in Deutschland an Land und Offshore bis zum Jahr 2020. Berlin 2005.

  3. Commission of the European Communities: Annual Report on the Implementation of the Internal Electricity and Gas Market. Brussel 2005.

  4. Commission of the European Communities: Towards Smart Power Networks — Lessons learned from European research FP5 projects. Brussels. Directorate-General for Research and Directorate J — Energy, 2005.

  5. Enel SpA: http://www.enel.it, as of 2006-11-24.

  6. Eßer, Anke; Kamper, Andreas; Franke, Markus; Möst, Dominik; Rentz, Otto: Scheduling of Electrical Household Appliances with Price Signals. In: Proceedings of the Operations Research (2006), Karlsruhe.

  7. Eßer, Anke; Franke, Markus; Kamper, Andreas: Modelle zur Steuerung und Optimierung in virtuellen Kraftwerken. Technical Report, Universität Karlsruhe (TH), 2006.

  8. Hanitsch, R.; Loch, J.-M.; Melchert, A.; Leitner, K.; Kohler, M.; Frühwirth, B.; Dobberstein, J.; Valentin, G.: Zeitvariable lineare Stromtarife — eine empirische Untersuchung im Versorgungsgebiet der Berliner Kraft- und Licht (Bewag) Aktiengesellschaft. Technical Report, Berlin 1993.

  9. Klobasa, Marian; Erge, Thomas; Bukvic-Schäfer; Aleksandra Sasa; Hollmann, Maik: Demand Side Management in dezentral geführten Verteilnetzen (Erfahrungen und Perspektiven). In: ISET e.V. (eds): Proceedings of the 11th Kasseler Symposium Energy Systems Technology (2006), pp. 115–134.

  10. Lilien, Gary L.; Kotler, Philip; Moorthy, K. Sridhar: Marketing Models. Prentice-Hall, Englewood Cliffs 1992.

    Google Scholar 

  11. Merelo, Juan J.; Prieto, Alberto: GAGS, a flexible object-oriented library for evolutionary computation. In: Isasi, P.; Borrajo, D. (eds): MALFO96, Proceedings of the First International Workshop on Machine Learning, Forecasting and Optimization (1996), pp. 99–105.

  12. Morovic, Tihomir; Pilhar, Rita; Möring-Hülser, Werner: Dynamische Stromtarife und Lastmanagement — Erfahrungen und Perspektiven. Forschungsgesellschaft für umweltschonende Energieumwandlung und- nutzung mbH, Kiel 1998.

  13. NESA: Nesa smart Read. http://www.nesa.dk/smartread.pdf, as of 2006-11-24.

  14. Rentz, Otto; Rosen, Johannes; Möst, Dominik; Tietze-Stöckinger, Ingela: Large-scale integration of renewable energy carriers into the european electricity system. Technical report, Institut für Industriebetriebslehre und Industrielle Produktion, Universität Karlsruhe (TH), 2005.

  15. Project for secure electronic metering data interchange. www.selma-project.de, 2007.

  16. Sterman, John D.: Modeling Managerial Behavior: Misperceptions of Feedback in a Dynamic Decision Making Experiment. In: Management Science 35 (1989) 3, pp. 321–339.

    Article  Google Scholar 

  17. Tietze-Stöckinger, Ingela; Fichtner, Wolf; Rentz, Otto: Kurzbeschreibung PERSEUSMUM und Ergebnisse. Technical report, Universität Karlsruhe (TH), 2004.

Download references

Author information

Authors and Affiliations

  1. Institut für Industriebetriebslehre und Industrielle Produktion (IIP), Universität Karlsruhe (TH), 76128, Karlsruhe, Germany

    Anke Eßer & Dominik Möst

  2. Institut für Informationswirtschaft und -management (IISM), Universität Karlsruhe (TH), 76128, Karlsruhe, Germany

    Markus Franke

  3. Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB), Universität Karlsruhe (TH), 76128, Karlsruhe, Germany

    Andreas Kamper

Authors
  1. Anke Eßer
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Markus Franke
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Andreas Kamper
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Dominik Möst
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Anke Eßer.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Eßer, A., Franke, M., Kamper, A. et al. Future power markets. Wirtsch. Inform. 49, 335–341 (2007). https://doi.org/10.1007/s11576-007-0077-7

Download citation

  • Received:

  • Accepted:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11576-007-0077-7

Keywords

Search

Navigation