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Intelligent automatic electrical-load management for networks of major domestic appliances

Author

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  • Newborough, M.
  • Probert, S. D.

Abstract

The utilisation of household equipment (i.e. for space-heating, water-heating, cooking, washing, cleaning, drying, food-preservation, entertainment, and personal care) influences significantly the UK's peak electrical demand. By developing intelligent load-management facilities for domestic dwellings, which do not infringe adversely on personal lifestyles, peak demands may be reduced. A significant saving in the predicted national requirement for reserve power-generating plant should thereby the achieved. Such home-automation systems would also help facilitate the introduction of a responsive time-of-use electricity-pricing system, which passes on the real-time cost of power generation to the end user. Once realised, this would encourage consumers to be more energy-conscious when purchasing and using electrical equipment.

Suggested Citation

  • Newborough, M. & Probert, S. D., 1990. "Intelligent automatic electrical-load management for networks of major domestic appliances," Applied Energy, Elsevier, vol. 37(2), pages 151-168.
  • Handle: RePEc:eee:appene:v:37:y:1990:i:2:p:151-168
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    Cited by:

    1. Clastres, Cédric, 2011. "Smart grids: Another step towards competition, energy security and climate change objectives," Energy Policy, Elsevier, vol. 39(9), pages 5399-5408, September.
    2. Dashti, Reza & Afsharnia, Saeed & Ghasemi, Hassan, 2010. "A new long term load management model for asset governance of electrical distribution systems," Applied Energy, Elsevier, vol. 87(12), pages 3661-3667, December.
    3. Cédric Clastres, 2010. "Les réseaux intelligents : régulation, investissement et gestion de la demande électrique," Post-Print halshs-00539818, HAL.
    4. Clastres, C. & Ha Pham, T.T. & Wurtz, F. & Bacha, S., 2010. "Ancillary services and optimal household energy management with photovoltaic production," Energy, Elsevier, vol. 35(1), pages 55-64.
    5. Cominola, A. & Giuliani, M. & Piga, D. & Castelletti, A. & Rizzoli, A.E., 2017. "A Hybrid Signature-based Iterative Disaggregation algorithm for Non-Intrusive Load Monitoring," Applied Energy, Elsevier, vol. 185(P1), pages 331-344.
    6. Lee, Dasheng & Cheng, Chin-Chi, 2016. "Energy savings by energy management systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 760-777.
    7. 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.
    8. Crockett, R. G. M. & Newborough, M. & Highgate, D. J. & Probert, S. D., 1995. "Electrolyser-based electricity management," Applied Energy, Elsevier, vol. 51(3), pages 249-263.
    9. Cédric Clastres, 2011. "Smart grids : Another step towards competition, energy security and climate change objectives," Post-Print halshs-00617702, HAL.

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