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Computer Science - Research and Development

, Volume 31, Issue 3, pp 111–118 | Cite as

HEMS: a home energy market simulator

  • Andrea Monacchi
  • Sergii Zhevzhyk
  • Wilfried Elmenreich
Special Issue Paper

Abstract

Stability issues in the electric power grid originate from the rising of renewable energy generation and the increasing number of electric vehicles. The uncertainty and the distributed nature of generation and consumption demand for optimal allocation of energy resources, which, in the absence of sufficient control reserve for power generation, can be achieved using demand-response. A price signal can be exploited to reflect the availability of energy. In this paper, market-based energy allocation solutions for small energy grids are discussed and implemented in a simulator, which is released for open use. Artificial neural network controllers for energy prosumers can be designed to minimize individual and overall running costs. This enables a better use of local energy production from renewable sources, while considering residents’ necessities to minimize discomfort.

Keywords

Market-based allocation Demand response Home energy management Smart home Smart appliance 

Notes

Acknowledgments

Work supported by Lakeside Labs, Klagenfurt, Austria and funded by the European Regional Development Fund (ERDF) and the Carinthian Economic Promotion Fund (KWF) under Grant 20214-22935-34445 (Smart Microgrid) and 20214-23743-35469-35470 (MONERGY). We would like to thank P. Grippa, M. Pöchacker and D. Egarter for the feedback.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Andrea Monacchi
    • 1
  • Sergii Zhevzhyk
    • 1
  • Wilfried Elmenreich
    • 1
  1. 1.Institute of Networked and Embedded Systems/Lakeside LabsAlpen-Adria-Universität KlagenfurtKlagenfurtAustria

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