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Assessing Energy Efficiency in Water Utilities Using Long-term Data Analysis

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  • Ana Paula Pereira Silveira

    (Federal University of ABC)

  • Herlander Mata-Lima

    (IST Energy Initiative, Instituto Superior Técnico, University of Lisbon)

Abstract

Water supply and electrical energy use are important topics at present, particularly in São Paulo (Brazil) where rising electricity prices and a changing climate are placing increasing strain on one of the world's biggest metropolitan area. This study uses information on dwellers socio-economic profile (SEP) and behavior to make adjustment in pumping operation schedule in a water distribution network system sector in São Paulo municipality together with long-term measurement of volume of water delivered, leakage, energy consumption, customer complaints due to water supply interruption, with the aim of improving efficiency. The findings suggest that dwellers SEP and behavior is suitable to adjust pumping operation schedule and that this procedure accounted for up to 25% of energy savings compared to baseline situation. With the adjustment it was also possible to reduce leakage flow in pipes, and most importantly the changes do not deteriorate service quality (efficacy) measured by customers complaints.

Suggested Citation

  • Ana Paula Pereira Silveira & Herlander Mata-Lima, 2021. "Assessing Energy Efficiency in Water Utilities Using Long-term Data Analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(9), pages 2763-2779, July.
    • Handle: RePEc:spr:waterr:v:35:y:2021:i:9:d:10.1007_s11269-021-02866-8
    DOI: 10.1007/s11269-021-02866-8
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    References listed on IDEAS

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    Cited by:

    1. Davi Edson Sales Souza & André Luiz Amarante Mesquita & Claudio José Cavalcante Blanco, 2023. "Pressure Regulation in a Water Distribution Network Using Pumps as Turbines at Variable Speed for Energy Recovery," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(3), pages 1183-1206, February.
    2. Qing Shuang & Rui Ting Zhao & Erik Porse, 2024. "Cluster Analysis and Predictive Modeling of Urban Water Distribution System Leaks with Socioeconomic and Engineering Factors," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 38(1), pages 385-400, January.

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