Modelling minimum night consumption as a function of long-run average outflow to users and applications to real world case studies
As accurate monitoring and mitigation of water leakage are essential in the context of smart and resilient cities, this paper proposes a novel methodology for modelling users’ minimum night consumption (MNC), a key parameter in the estimation of district leakage levels. Unlike traditional models, wh...
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| Veröffentlicht in: | Frontiers in water Jg. 7 |
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| Format: | Journal Article |
| Sprache: | Englisch |
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Frontiers Media S.A
21.10.2025
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| Abstract | As accurate monitoring and mitigation of water leakage are essential in the context of smart and resilient cities, this paper proposes a novel methodology for modelling users’ minimum night consumption (MNC), a key parameter in the estimation of district leakage levels. Unlike traditional models, which relate MNC to the number of users supplied by the network district, a new model with a bounded and more interpretable coefficient is conceived to introduce and evaluate the dependence of MNC on the yearly average user outflow, which can be evaluated based on long-run aggregate billed consumption. A methodology is proposed to characterize MNC starting from smart metering data of hourly user water consumption, which are progressively aggregated and analysed at the hour of minimum consumption for the district. Applications to three case studies in Italy, each with distinct characteristics, demonstrate that the novel methodology is beneficial. In fact, the results show that the linear model expressing MNC as a function of the yearly average user outflow fits data better than the traditional model, at increasing aggregation levels. |
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| AbstractList | As accurate monitoring and mitigation of water leakage are essential in the context of smart and resilient cities, this paper proposes a novel methodology for modelling users’ minimum night consumption (MNC), a key parameter in the estimation of district leakage levels. Unlike traditional models, which relate MNC to the number of users supplied by the network district, a new model with a bounded and more interpretable coefficient is conceived to introduce and evaluate the dependence of MNC on the yearly average user outflow, which can be evaluated based on long-run aggregate billed consumption. A methodology is proposed to characterize MNC starting from smart metering data of hourly user water consumption, which are progressively aggregated and analysed at the hour of minimum consumption for the district. Applications to three case studies in Italy, each with distinct characteristics, demonstrate that the novel methodology is beneficial. In fact, the results show that the linear model expressing MNC as a function of the yearly average user outflow fits data better than the traditional model, at increasing aggregation levels. |
| Author | Giudicianni, Carlo Mazzoni, Filippo Alvisi, Stefano Marsili, Valentina Creaco, Enrico |
| Author_xml | – sequence: 1 givenname: Carlo surname: Giudicianni fullname: Giudicianni, Carlo – sequence: 2 givenname: Filippo surname: Mazzoni fullname: Mazzoni, Filippo – sequence: 3 givenname: Valentina surname: Marsili fullname: Marsili, Valentina – sequence: 4 givenname: Stefano surname: Alvisi fullname: Alvisi, Stefano – sequence: 5 givenname: Enrico surname: Creaco fullname: Creaco, Enrico |
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| Cites_doi | 10.1021/acsestwater.3c00793 10.1061/JWRMD5.WRENG-6037 10.1061/(ASCE)WR.1943-5452.0001269 10.1007/s12209-017-0090-x 10.1016/j.envsoft.2015.07.012 10.1007/s43832-024-00150-5 10.1002/2013wr014458 10.1016/j.watres.2024.122088 10.2166/wpt.2018.005 10.5004/dwt.2019.23375 10.1029/2019WR024897 10.1038/s41545-022-00208-8 10.1002/2017WR020639 10.2166/ws.2018.129 10.1038/s41545-019-0047-9 10.1029/2022WR033368 10.1016/j.jwpe.2024.105473 10.1061/(ASCE)WR.1943-5452.0001503 10.1016/j.watres.2016.10.011 10.1016/j.wri.2022.100198 10.1016/j.scs.2016.03.004 |
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