Feasibility of using smart meter water consumption data and in-sewer flow observations for sewer system analysis: a case study

Globally, smart meters measuring the water consumption with a high temporal resolution at consumers' households are deployed at an increasing rate. In addition to their use for billing or leak detection purposes, smart meters may provide detailed knowledge of the wastewater inflow to the sewer...

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Autores principales:	N. S. V. Lund, J. K. Kirstein, H. Madsen, O. Mark, P. S. Mikkelsen, M. Borup
Formato:	article
Lenguaje:	EN
Publicado:	IWA Publishing 2021
Materias:	anomaly detection distributed model dry weather flow smart meters urban drainage wastewater flow Information technology T58.5-58.64 Environmental technology. Sanitary engineering TD1-1066
Acceso en línea:	https://doaj.org/article/47ab0223e9044530b09ac76377f153ea
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spelling	oai:doaj.org-article:47ab0223e9044530b09ac76377f153ea2021-11-05T17:48:58ZFeasibility of using smart meter water consumption data and in-sewer flow observations for sewer system analysis: a case study1464-71411465-173410.2166/hydro.2021.166https://doaj.org/article/47ab0223e9044530b09ac76377f153ea2021-07-01T00:00:00Zhttp://jh.iwaponline.com/content/23/4/795https://doaj.org/toc/1464-7141https://doaj.org/toc/1465-1734Globally, smart meters measuring the water consumption with a high temporal resolution at consumers' households are deployed at an increasing rate. In addition to their use for billing or leak detection purposes, smart meters may provide detailed knowledge of the wastewater inflow to the sewer systems in space and time and open up new types of system analyses aimed at closing the urban water balance. In this study, we first validate the smart meter data against other, independent water distribution data. Subsequently, we use a detailed hydrodynamic sewer system model to link the smart meter data from almost 2,000 consumers with in-sewer flow observations in order to simulate the wastewater component of the dry weather flow (DWF) and to identify potential anomalies. Results show that it is feasible to use smart meter data as input to a distributed urban drainage model, as the temporal dynamics of the model results and in-sewer flow observations match well. Furthermore, the study suggests that in-sewer flow observations may be subject to unrecognised uncertainties, which make them unsuitable for advanced investigations of the DWF composition, and this underlines the necessity of collecting data from independent sources. The study also exemplifies that digital system integration in the water sector may be complicated. However, overcoming these obstacles may improve both offline and real-time urban drainage management. HIGHLIGHTS Smart meter-simulated wastewater flow is a valuable step towards closing the water balance in urban drainage systems.; Coupling between independent data sources opens up enhanced anomaly detection; here the discovery of potentially erroneous in-sewer observations.; It can be tedious to gain access to data and models as these may be stored in different silos, but the effort is worthwhile.;N. S. V. LundJ. K. KirsteinH. MadsenO. MarkP. S. MikkelsenM. BorupIWA Publishingarticleanomaly detectiondistributed modeldry weather flowsmart metersurban drainagewastewater flowInformation technologyT58.5-58.64Environmental technology. Sanitary engineeringTD1-1066ENJournal of Hydroinformatics, Vol 23, Iss 4, Pp 795-812 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	anomaly detection distributed model dry weather flow smart meters urban drainage wastewater flow Information technology T58.5-58.64 Environmental technology. Sanitary engineering TD1-1066
spellingShingle	anomaly detection distributed model dry weather flow smart meters urban drainage wastewater flow Information technology T58.5-58.64 Environmental technology. Sanitary engineering TD1-1066 N. S. V. Lund J. K. Kirstein H. Madsen O. Mark P. S. Mikkelsen M. Borup Feasibility of using smart meter water consumption data and in-sewer flow observations for sewer system analysis: a case study
description	Globally, smart meters measuring the water consumption with a high temporal resolution at consumers' households are deployed at an increasing rate. In addition to their use for billing or leak detection purposes, smart meters may provide detailed knowledge of the wastewater inflow to the sewer systems in space and time and open up new types of system analyses aimed at closing the urban water balance. In this study, we first validate the smart meter data against other, independent water distribution data. Subsequently, we use a detailed hydrodynamic sewer system model to link the smart meter data from almost 2,000 consumers with in-sewer flow observations in order to simulate the wastewater component of the dry weather flow (DWF) and to identify potential anomalies. Results show that it is feasible to use smart meter data as input to a distributed urban drainage model, as the temporal dynamics of the model results and in-sewer flow observations match well. Furthermore, the study suggests that in-sewer flow observations may be subject to unrecognised uncertainties, which make them unsuitable for advanced investigations of the DWF composition, and this underlines the necessity of collecting data from independent sources. The study also exemplifies that digital system integration in the water sector may be complicated. However, overcoming these obstacles may improve both offline and real-time urban drainage management. HIGHLIGHTS Smart meter-simulated wastewater flow is a valuable step towards closing the water balance in urban drainage systems.; Coupling between independent data sources opens up enhanced anomaly detection; here the discovery of potentially erroneous in-sewer observations.; It can be tedious to gain access to data and models as these may be stored in different silos, but the effort is worthwhile.;
format	article
author	N. S. V. Lund J. K. Kirstein H. Madsen O. Mark P. S. Mikkelsen M. Borup
author_facet	N. S. V. Lund J. K. Kirstein H. Madsen O. Mark P. S. Mikkelsen M. Borup
author_sort	N. S. V. Lund
title	Feasibility of using smart meter water consumption data and in-sewer flow observations for sewer system analysis: a case study
title_short	Feasibility of using smart meter water consumption data and in-sewer flow observations for sewer system analysis: a case study
title_full	Feasibility of using smart meter water consumption data and in-sewer flow observations for sewer system analysis: a case study
title_fullStr	Feasibility of using smart meter water consumption data and in-sewer flow observations for sewer system analysis: a case study
title_full_unstemmed	Feasibility of using smart meter water consumption data and in-sewer flow observations for sewer system analysis: a case study
title_sort	feasibility of using smart meter water consumption data and in-sewer flow observations for sewer system analysis: a case study
publisher	IWA Publishing
publishDate	2021
url	https://doaj.org/article/47ab0223e9044530b09ac76377f153ea
work_keys_str_mv	AT nsvlund feasibilityofusingsmartmeterwaterconsumptiondataandinsewerflowobservationsforsewersystemanalysisacasestudy AT jkkirstein feasibilityofusingsmartmeterwaterconsumptiondataandinsewerflowobservationsforsewersystemanalysisacasestudy AT hmadsen feasibilityofusingsmartmeterwaterconsumptiondataandinsewerflowobservationsforsewersystemanalysisacasestudy AT omark feasibilityofusingsmartmeterwaterconsumptiondataandinsewerflowobservationsforsewersystemanalysisacasestudy AT psmikkelsen feasibilityofusingsmartmeterwaterconsumptiondataandinsewerflowobservationsforsewersystemanalysisacasestudy AT mborup feasibilityofusingsmartmeterwaterconsumptiondataandinsewerflowobservationsforsewersystemanalysisacasestudy
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Feasibility of using smart meter water consumption data and in-sewer flow observations for sewer system analysis: a case study

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