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

Author

Listed:
  • Sara Fontdecaba
  • José Sánchez-Espigares
  • Lluís Marco-Almagro
  • Xavier Tort-Martorell
  • Francesc Cabrespina
  • Jordi Zubelzu

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. Copyright Springer Science+Business Media Dordrecht 2013

Suggested Citation

  • Sara Fontdecaba & José Sánchez-Espigares & Lluís Marco-Almagro & Xavier Tort-Martorell & Francesc Cabrespina & Jordi Zubelzu, 2013. "An Approach to Disaggregating Total Household Water Consumption into Major End-Uses," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(7), pages 2155-2177, May.
    • Handle: RePEc:spr:waterr:v:27:y:2013:i:7:p:2155-2177
    DOI: 10.1007/s11269-013-0281-8
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    References listed on IDEAS

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    1. Sara Fontdecaba & Pere Grima & Lluís Marco & Lourdes Rodero & José Sánchez-Espigares & Ignasi Solé & Xavier Tort-Martorell & Dominique Demessence & Victor Martínez De Pablo & Jordi Zubelzu, 2012. "A Methodology to Model Water Demand based on the Identification of Homogenous Client Segments. Application to the City of Barcelona," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(2), pages 499-516, January.
    2. Christian Richter & Rainer Stamminger, 2012. "Water Consumption in the Kitchen – A Case Study in Four European Countries," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(6), pages 1639-1649, April.
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    Cited by:

    1. Valentina Marsili & Filippo Mazzoni & Stefano Alvisi & Marco Franchini, 2024. "From Pressure to Water Consumption: Exploiting High-Resolution Pressure Data to Investigate the End Uses of Water," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 38(13), pages 4969-4985, October.
    2. Gurung, Thulo Ram & Stewart, Rodney A. & Sharma, Ashok K. & Beal, Cara D., 2014. "Smart meters for enhanced water supply network modelling and infrastructure planning," Resources, Conservation & Recycling, Elsevier, vol. 90(C), pages 34-50.
    3. Benjamin Völker & Andreas Reinhardt & Anthony Faustine & Lucas Pereira, 2021. "Watt’s up at Home? Smart Meter Data Analytics from a Consumer-Centric Perspective," Energies, MDPI, vol. 14(3), pages 1-21, January.

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