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Water Resources Management

, Volume 27, Issue 7, pp 2155–2177 | Cite as

An Approach to Disaggregating Total Household Water Consumption into Major End-Uses

  • Sara Fontdecaba
  • José A. Sánchez-Espigares
  • Lluís Marco-Almagro
  • Xavier Tort-MartorellEmail author
  • Francesc Cabrespina
  • Jordi Zubelzu
Article

Abstract

The aim of this project is to assign domestic water consumption to different devices based on the information provided by the water meter. We monitored a sample of Barcelona and Murcia with flow switches that recorded when a particular device was in use. In addition, the water meter readings were recorded every 5 and 1 s, respectively, in Barcelona and Murcia. The initial work used Barcelona data, and the method was later verified and adjusted with the Murcia data. The proposed method employs an algorithm that characterizes the water consumption of each device, using Barcelona to establish the initial parameters which, afterwards, provide information for adjusting the parameters of each household studied. Once the parameters have been adjusted, the algorithm assigns the consumption to each device. The efficacy of the assignation process is summarized in terms of: sensitivity and specificity. The algorithm provides a correct identification rate of between 70 % and 80 %; sometimes even higher, depending on how well the chosen parameters reflect household consumption patterns. Considering the high variability of the patterns and the fact that use is characterized by only the aggregate consumption that the water meter provides, the results are quite satisfactory.

Keywords

Water pattern recognition Use of water Domestic consumption Water profile Water disaggregation 

Notes

Acknowledgements

The authors are grateful to R + I Alliance for the financial support that made it possible to develop this project. The authors are also grateful to AQUAGEST SOLUTONS for their very useful comments and suggestions during the preparation of this manuscript.

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Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  • Sara Fontdecaba
    • 1
  • José A. Sánchez-Espigares
    • 1
  • Lluís Marco-Almagro
    • 1
  • Xavier Tort-Martorell
    • 1
    Email author
  • Francesc Cabrespina
    • 2
  • Jordi Zubelzu
    • 2
  1. 1.Department of Statistics and Operational ResearchUniversitat Politècnica de Catalunya (UPC) – Barcelona TechBarcelonaSpain
  2. 2.Aigües de Barcelona, AGBAR GroupBarcelonaSpain

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