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Influence of Rebound Effect on Energy Saving in Smart Homes

  • Ko-jung Chen
  • Ziyang Li
  • Ta-Ping LuEmail author
  • Pei-Luen Patrick Rau
  • Dinglong Huang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10912)

Abstract

The rebound effect refers to the increase in energy use resulting from reduced energy costs and improved energy efficiency. This study proves that the rebound effect exists in smart homes and measures the size of rebound effect through two experiments. Results show that when electricity bills decreased and electricity use suggestions were provided, the electricity use significantly increased. The size of rebound effect was 13.5% in both cases. When electricity use suggestions were provided, the size of rebound effect of illumination settings was highest (20.24%), while the size of rebound effect of appliance settings was lowest (6.42%). The rebound effect in future smart homes can be reduced by (1) providing real-time electricity bills information combined with electricity use feedback; (2) offering electricity use suggestions through intelligent learning.

Keywords

Smart homes Rebound effect Electricity use 

Notes

Acknowledgement

This research was supported by Shenzhen Malong Artificial Intelligence Research Center.

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Ko-jung Chen
    • 1
  • Ziyang Li
    • 1
  • Ta-Ping Lu
    • 1
    Email author
  • Pei-Luen Patrick Rau
    • 1
  • Dinglong Huang
    • 2
  1. 1.Institute of Human Factors and Ergonomics, Department of Industrial EngineeringTsinghua UniversityBeijingChina
  2. 2.Shenzhen Malong Artificial Intelligence Research CenterShenzhenChina

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