Energy Systems

, Volume 5, Issue 2, pp 211–232 | Cite as

The value of electricity storage in domestic homes: a smart grid perspective

  • Pedro Crespo Del Granado
  • Stein W. Wallace
  • Zhan Pang
Original Paper


About 7 % of the energy consumption in the UK presently comes from wind, but this is expected to grow to well over 20 %. This causes serious concerns about the ability of the energy system to balance supply and demand, as it is already very inflexible. Though each household is very small, in total they contribute substantially to the energy demand, and in particular to the peak demand. In this paper, we develop a bottom-up approach, focusing on the value of energy storage and renewable micro-generation in domestic homes. Specifically, we consider a connection to the grid, a boiler, a solar collector, a small wind turbine, a water tank, and a battery. We use the wholesale spot prices as proxies for the provision costs of gas and electricity. We focus on the predictable inter-temporal variations of energy demand, wind speed, and spot prices, and thus assume that these parameters, though deterministic, are time varying. The objective of the model is to minimize the total energy consumption cost, as seen from the grid, throughout a finite horizon. We conduct a numerical case study using a sample of real-life demand and weather data for some typical houses in the UK and recent spot price data. Our results show that a battery might have a significant contribution to energy cost savings, and shed new light on the design of distributed energy systems for a smart grid, especially when coupled with a wind turbine. The benefits do not depend on behavioural changes in the households.


Smart grid Wind energy Energy storage Demand-side management  



Our acknowledgments to the Building Research Establishment, which provided access to the original 1990 data set from Milton Keynes Energy Park, and to Bartlett School of Graduate Studies, University College London, for processing and cleaning the raw data. This data was accessed through the UK Energy Research Center—Energy data center (UKERC-EDC).


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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Pedro Crespo Del Granado
    • 1
  • Stein W. Wallace
    • 2
  • Zhan Pang
    • 1
  1. 1.Department of Management ScienceLancaster University Management SchoolLancasterUK
  2. 2.Department of Business and Management ScienceNorwegian School of EconomicsBergen Norway

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