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2022 | OriginalPaper | Buchkapitel

Open Datasets and IoT Sensors for Residential Water Demand Monitoring at the End-Use Level: A Pilot Study Site in Naples (Italy)

verfasst von : A. Di Mauro, G. F. Santonastaso, S. Venticinque, A. Di Nardo

Erschienen in: Resilient Water Management Strategies in Urban Settings

Verlag: Springer International Publishing

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Abstract

Water infrastructure systems management is one of the most urgent global issues, as urbanization and population continue to rise. Monitoring and analysis of water demand is one of many challenges faced by researchers in the past decades. The spread of smart technology improves the way in which data can be collected. Water utilities are starting to try out innovative smart meters instead of traditional water meters to read water consumption with a high-resolution rate. This new trend made available a great amount of data opened new opportunities to improve water services and fostered the interest in understanding the use of water in domestic environments along with direct implications on identifying demand patterns, forecasting future demands, detecting leakage, improving users’ awareness, and customizing users’ profiles. This chapter presents a pilot study site of water end-use demand monitoring in a residential apartment located in Naples (Italy). A monitoring system based on Internet of Things (IoT) technology was implemented and installed on the fixtures of a single-family apartment. Data gathered have been used to realize an open dataset available in the research community to train data-driven algorithms. Overall, the chapter provides insights for new perspectives and further research related to the importance of high-resolution data to improve water demand-side management. This case study represents a first step towards a decentralized monitoring water system aimed to increase user awareness to promote water conservation.

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Literatur
3.
Zurück zum Zitat Ávila CAM, Sánchez-Romero FJ, López-Jiménez PA, Pérez-Sánchez M (2021) Leakage management and pipe system efficiency. Its influence in the improvement of the efficiency indexes. Water (Switzerland) 13. https://doi.org/10.3390/w13141909 Ávila CAM, Sánchez-Romero FJ, López-Jiménez PA, Pérez-Sánchez M (2021) Leakage management and pipe system efficiency. Its influence in the improvement of the efficiency indexes. Water (Switzerland) 13. https://​doi.​org/​10.​3390/​w13141909
5.
Zurück zum Zitat Gerland P, Raftery AE, Ševčíková H, Li N, Gu D, Spoorenberg T, Alkema L, Fosdick BK, Chunn J, Lalic N, Bay G, Buettner T, Heilig GK, Wilmoth J (2014) World population stabilization unlikely this century. Science (80-) 346:234–237. https://doi.org/10.1126/science.1257469 Gerland P, Raftery AE, Ševčíková H, Li N, Gu D, Spoorenberg T, Alkema L, Fosdick BK, Chunn J, Lalic N, Bay G, Buettner T, Heilig GK, Wilmoth J (2014) World population stabilization unlikely this century. Science (80-) 346:234–237. https://​doi.​org/​10.​1126/​science.​1257469
10.
Zurück zum Zitat Sitzenfrei R, Rauch W (2014) Investigating transitions of centralized water infrastructure to decentralized solutions—an integrated approach. Proc Eng 1549–1557 Sitzenfrei R, Rauch W (2014) Investigating transitions of centralized water infrastructure to decentralized solutions—an integrated approach. Proc Eng 1549–1557
12.
Zurück zum Zitat Di Nardo A, Boccelli DL, Herrera M, Creaco E, Cominola A, Sitzenfrei R, Taormina R (2021) Smart urban water networks: Solutions, trends and challenges. Water (Switzerland) 13 Di Nardo A, Boccelli DL, Herrera M, Creaco E, Cominola A, Sitzenfrei R, Taormina R (2021) Smart urban water networks: Solutions, trends and challenges. Water (Switzerland) 13
14.
Zurück zum Zitat Cominola A, Giuliani M, Piga D, Castelletti A, Rizzoli AE (2015) Benefits and challenges of using smart meters for advancing residential water demand modeling and management: a review. Environ Model Softw 72:198–214CrossRef Cominola A, Giuliani M, Piga D, Castelletti A, Rizzoli AE (2015) Benefits and challenges of using smart meters for advancing residential water demand modeling and management: a review. Environ Model Softw 72:198–214CrossRef
17.
Zurück zum Zitat Zipper SC, Stack Whitney K, Deines JM, Befus KM, Bhatia U, Albers SJ, Beecher J, Brelsford C, Garcia M, Gleeson T, O’Donnell F, Resnik D, Schlager E (2019) Balancing open science and data privacy in the water sciences. Water Resour Res 55:5202–5211CrossRefADS Zipper SC, Stack Whitney K, Deines JM, Befus KM, Bhatia U, Albers SJ, Beecher J, Brelsford C, Garcia M, Gleeson T, O’Donnell F, Resnik D, Schlager E (2019) Balancing open science and data privacy in the water sciences. Water Resour Res 55:5202–5211CrossRefADS
18.
Zurück zum Zitat Rustad ML, Koenig TH (2019) Towards a global data privacy standard. Fla Law Rev 71:365–454 Rustad ML, Koenig TH (2019) Towards a global data privacy standard. Fla Law Rev 71:365–454
21.
Zurück zum Zitat Fu Y, Wu W (2014) Behaviour interventions for water end use: an integrated model. In: ICAC 2014—proceedings of the 20th international conference on automation and computing: future automation, computing and manufacturing Fu Y, Wu W (2014) Behaviour interventions for water end use: an integrated model. In: ICAC 2014—proceedings of the 20th international conference on automation and computing: future automation, computing and manufacturing
23.
Zurück zum Zitat Knobloch A, Guth N, Klingel P (2014) Automated water balance calculation for water distribution systems. Procedia Eng 428–436 Knobloch A, Guth N, Klingel P (2014) Automated water balance calculation for water distribution systems. Procedia Eng 428–436
24.
Zurück zum Zitat Di Nardo A, Di Natale M, Di Mauro A, Martínez Díaz E, Blázquez Garcia JA, Santonastaso GF, Tuccinardi FP (2018) An advanced software to manage a smart water network with innovative metrics and tools based on social network theory. 582–570 Di Nardo A, Di Natale M, Di Mauro A, Martínez Díaz E, Blázquez Garcia JA, Santonastaso GF, Tuccinardi FP (2018) An advanced software to manage a smart water network with innovative metrics and tools based on social network theory. 582–570
25.
Zurück zum Zitat Di Nardo A, Di Natale M, Di Mauro A (2013) Water leakage management. In: CISM international centre for mechanical sciences, courses and lectures, pp 1–9 Di Nardo A, Di Natale M, Di Mauro A (2013) Water leakage management. In: CISM international centre for mechanical sciences, courses and lectures, pp 1–9
31.
Zurück zum Zitat Fielding K, Russell S, Spinks A, McCrea R, Steward R, Gardner J (2012) Water end use feedback produces long-term reductions in residential water demand. Sci forum Stakehold Engagem build linkages. Collab Sci Qual 133–138 Fielding K, Russell S, Spinks A, McCrea R, Steward R, Gardner J (2012) Water end use feedback produces long-term reductions in residential water demand. Sci forum Stakehold Engagem build linkages. Collab Sci Qual 133–138
32.
Zurück zum Zitat Voskamp IM, Sutton NB, Stremke S, Rijnaarts HHM (2020) A systematic review of factors influencing spatiotemporal variability in urban water and energy consumption. J Clean Prod 256 Voskamp IM, Sutton NB, Stremke S, Rijnaarts HHM (2020) A systematic review of factors influencing spatiotemporal variability in urban water and energy consumption. J Clean Prod 256
34.
Zurück zum Zitat Tanverakul SA, Lee J (2016) Decadal review of residential water demand analysis from a practical perspective. Water Pract Technol 11:433–447CrossRef Tanverakul SA, Lee J (2016) Decadal review of residential water demand analysis from a practical perspective. Water Pract Technol 11:433–447CrossRef
35.
Zurück zum Zitat Umapathi S, Chong MN, Sharma AK (2012) Assessment of diurnal water demand patterns to determine supply reliability of plumbed rainwater tanks in south east queensland. In: WSUD 2012—7th international conference on water sensitive urban design: building the water sensitive community. Final program and abstract book Umapathi S, Chong MN, Sharma AK (2012) Assessment of diurnal water demand patterns to determine supply reliability of plumbed rainwater tanks in south east queensland. In: WSUD 2012—7th international conference on water sensitive urban design: building the water sensitive community. Final program and abstract book
40.
Zurück zum Zitat Abate F, Carratu M, Liguori C, Pietrosanto A (2019) Smart meters and water leakage detection: a preliminary study. In: I2MTC 2019—2019 IEEE international instrumentation and measurement technology conference, proceedings Abate F, Carratu M, Liguori C, Pietrosanto A (2019) Smart meters and water leakage detection: a preliminary study. In: I2MTC 2019—2019 IEEE international instrumentation and measurement technology conference, proceedings
41.
Zurück zum Zitat Carboni D, Gluhak A, McCann JA, Beach TH (2016) Contextualising water use in residential settings: a survey of non-intrusive techniques and approaches. Sensors (Switzerland) 16 Carboni D, Gluhak A, McCann JA, Beach TH (2016) Contextualising water use in residential settings: a survey of non-intrusive techniques and approaches. Sensors (Switzerland) 16
47.
Zurück zum Zitat Jacobs HE, Haarhoff J (2004) Structure and data requirements of an end-use model for residential water demand and return flow. Water SA 30:293–304 Jacobs HE, Haarhoff J (2004) Structure and data requirements of an end-use model for residential water demand and return flow. Water SA 30:293–304
48.
Zurück zum Zitat Ellert B, Makonin S, Popowich F (2016) Appliance water disaggregation via non-intrusive load monitoring (NILM). In: lecture notes of the institute for computer sciences, social-informatics and telecommunications engineering, LNICST, pp 455–467 Ellert B, Makonin S, Popowich F (2016) Appliance water disaggregation via non-intrusive load monitoring (NILM). In: lecture notes of the institute for computer sciences, social-informatics and telecommunications engineering, LNICST, pp 455–467
53.
Zurück zum Zitat Di Mauro A, Di Nardo A, Santonastaso GF, Venticinque S (2019) An IoT system for monitoring and data collection of residential water end-use consumption. In: Proceedings—international conference on computer communications and networks, ICCCN. IEEE, pp 1–6 Di Mauro A, Di Nardo A, Santonastaso GF, Venticinque S (2019) An IoT system for monitoring and data collection of residential water end-use consumption. In: Proceedings—international conference on computer communications and networks, ICCCN. IEEE, pp 1–6
55.
Zurück zum Zitat Cominola A, Moro A, Riva L, Giuliani M, Castelleti A (2016) Profiling residential water users’ routines by eigenbehavior modelling. Int Environ Model Softw Soc 8th Int Congr Environ Model Softw Cominola A, Moro A, Riva L, Giuliani M, Castelleti A (2016) Profiling residential water users’ routines by eigenbehavior modelling. Int Environ Model Softw Soc 8th Int Congr Environ Model Softw
58.
Zurück zum Zitat Baker SR, Farrokhnia RA, Meyer S, Pagel M, Yannelis C (2020) How does household spending respond to an epidemic? Consumption during the 2020 COVID-19 pandemic. Rev Asset Pricing Stud 10:834–862CrossRef Baker SR, Farrokhnia RA, Meyer S, Pagel M, Yannelis C (2020) How does household spending respond to an epidemic? Consumption during the 2020 COVID-19 pandemic. Rev Asset Pricing Stud 10:834–862CrossRef
61.
Zurück zum Zitat Kozlovskiy I, Schöb S, Sodenkamp M (2016) Non-intrusive disaggregation of water consumption data in a residential household. In: Lecture notes in informatics (LNI), proceedings—series of the Gesellschaft fur Informatik (GI), pp 1381–1387 Kozlovskiy I, Schöb S, Sodenkamp M (2016) Non-intrusive disaggregation of water consumption data in a residential household. In: Lecture notes in informatics (LNI), proceedings—series of the Gesellschaft fur Informatik (GI), pp 1381–1387
63.
Zurück zum Zitat Anh Nguyen K, Anthony Stewart R, Zhang H (2011) Application of dynamic time warping algorithm in prototype selection for the disaggregation of domestic water flow data into end-use events data-driven water quality treatment management decision support systems view project richer experiences, Less Resou Anh Nguyen K, Anthony Stewart R, Zhang H (2011) Application of dynamic time warping algorithm in prototype selection for the disaggregation of domestic water flow data into end-use events data-driven water quality treatment management decision support systems view project richer experiences, Less Resou
64.
Zurück zum Zitat Srinivasan V, Stankovic J, Whitehouse K (2011) WaterSense: water flow disaggregation using motion sensors. In: BuildSys 2011—proceedings of the 3rd ACM workshop on embedded sensing systems for energy-efficiency in buildings, held in conjunction with ACM SenSys 2011, pp 19–24 Srinivasan V, Stankovic J, Whitehouse K (2011) WaterSense: water flow disaggregation using motion sensors. In: BuildSys 2011—proceedings of the 3rd ACM workshop on embedded sensing systems for energy-efficiency in buildings, held in conjunction with ACM SenSys 2011, pp 19–24
67.
Zurück zum Zitat Zoha A, Gluhak A, Imran MA, Rajasegarar S (2012) Non-intrusive load monitoring approaches for disaggregated energy sensing: a survey. Sensors (Switzerland) 12:16838–16866CrossRefADS Zoha A, Gluhak A, Imran MA, Rajasegarar S (2012) Non-intrusive load monitoring approaches for disaggregated energy sensing: a survey. Sensors (Switzerland) 12:16838–16866CrossRefADS
69.
Zurück zum Zitat Xenochristou M, Kapelan Z, Hutton C, Hofman J (2018) Smart water demand forecasting: learning from the data. EasyChair, pp 2351–2352 Xenochristou M, Kapelan Z, Hutton C, Hofman J (2018) Smart water demand forecasting: learning from the data. EasyChair, pp 2351–2352
71.
Zurück zum Zitat Rahim MS, Nguyen KA, Stewart RA, Giurco D, Blumenstein M (2020) Machine learning and data analytic techniques in digitalwater metering: a review. Water (Switzerland) 12 Rahim MS, Nguyen KA, Stewart RA, Giurco D, Blumenstein M (2020) Machine learning and data analytic techniques in digitalwater metering: a review. Water (Switzerland) 12
72.
Zurück zum Zitat Di Mauro A, Venticinque S, Santonastaso GF, Di Nardo A (2021) WEUSEDTO-water end USE dataset and TOols: an open water end use consumption dataset and data analytics tools. Softw X Di Mauro A, Venticinque S, Santonastaso GF, Di Nardo A (2021) WEUSEDTO-water end USE dataset and TOols: an open water end use consumption dataset and data analytics tools. Softw X
73.
Zurück zum Zitat Kandiah VK, Zechman EM (2012) Agent-based modeling for simulating the decentralization of urban water infrastructure systems. In: World environmental and water resources congress 2012: crossing boundaries, proceedings of the 2012 congress, pp 2222–2231 Kandiah VK, Zechman EM (2012) Agent-based modeling for simulating the decentralization of urban water infrastructure systems. In: World environmental and water resources congress 2012: crossing boundaries, proceedings of the 2012 congress, pp 2222–2231
74.
Metadaten
Titel
Open Datasets and IoT Sensors for Residential Water Demand Monitoring at the End-Use Level: A Pilot Study Site in Naples (Italy)
verfasst von
A. Di Mauro
G. F. Santonastaso
S. Venticinque
A. Di Nardo
Copyright-Jahr
2022
DOI
https://doi.org/10.1007/978-3-030-95844-2_4