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Demand side management—A simulation of household behavior under variable prices

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Listed:
  • Gottwalt, Sebastian
  • Ketter, Wolfgang
  • Block, Carsten
  • Collins, John
  • Weinhardt, Christof

Abstract

Within the next years, consumer households will be increasingly equipped with smart metering and intelligent appliances. These technologies are the basis for households to better monitor electricity consumption and to actively control loads in private homes. Demand side management (DSM) can be adopted to private households. We present a simulation model that generates household load profiles under flat tariffs and simulates changes in these profiles when households are equipped with smart appliances and face time-based electricity prices.

Suggested Citation

  • Gottwalt, Sebastian & Ketter, Wolfgang & Block, Carsten & Collins, John & Weinhardt, Christof, 2011. "Demand side management—A simulation of household behavior under variable prices," Energy Policy, Elsevier, vol. 39(12), pages 8163-8174.
    • Handle: RePEc:eee:enepol:v:39:y:2011:i:12:p:8163-8174
    DOI: 10.1016/j.enpol.2011.10.016
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    References listed on IDEAS

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    1. Ketter, W. & Collins, J. & Reddy, P. & Flath, C., 2011. "The Power Trading Agent Competition," ERIM Report Series Research in Management ERS-2011-011-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    2. Swan, Lukas G. & Ugursal, V. Ismet, 2009. "Modeling of end-use energy consumption in the residential sector: A review of modeling techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(8), pages 1819-1835, October.
    3. Shaw, Rita & Attree, Mike & Jackson, Tim & Kay, Mike, 2009. "The value of reducing distribution losses by domestic load-shifting: a network perspective," Energy Policy, Elsevier, vol. 37(8), pages 3159-3167, August.
    4. Strbac, Goran, 2008. "Demand side management: Benefits and challenges," Energy Policy, Elsevier, vol. 36(12), pages 4419-4426, December.
    5. Denholm, Paul & Margolis, Robert M., 2007. "Evaluating the limits of solar photovoltaics (PV) in electric power systems utilizing energy storage and other enabling technologies," Energy Policy, Elsevier, vol. 35(9), pages 4424-4433, September.
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    7. Ketter, W. & Collins, J. & Reddy, P. & Flath, C. & de Weerdt, M.M., 2011. "The Power Trading Agent Competition," ERIM Report Series Research in Management ERS-2011-027-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
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