TY - JOUR
T1 - Exploiting high-resolution data to investigate the characteristics of water consumption at the end-use level
T2 - A Dutch case study
AU - Mazzoni, Filippo
AU - Alvisi, Stefano
AU - Franchini, Marco
AU - Blokker, Mirjam
PY - 2023
Y1 - 2023
N2 - In the water industry, an accurate estimation of end-use water consumption is helpful for the implementation of efficient water systems and water-saving technologies. This study aimed to explore the characteristics of water consumption at nine households north of Amsterdam (the Netherlands), subjected to water consumption monitoring at high temporal resolution (i.e. 1 s). Overall, 36,297 water-use events monitored over about 447 days were automatically segmented into 44,115 individual events by means of a new rule-based filtering algorithm, and then labelled by expert analysts. A multi-stage analysis was then conducted in order to evaluate daily per capita end-use water consumption, daily end-use profiles, average end-use parameter average, and their statistical distributions. The results achieved provide insight into the features of end-use consumption, confirming that the largest components are typically related to showers/bathtubs, toilets, and washing machines, whereas different end-use parameter distributions can emerge.
AB - In the water industry, an accurate estimation of end-use water consumption is helpful for the implementation of efficient water systems and water-saving technologies. This study aimed to explore the characteristics of water consumption at nine households north of Amsterdam (the Netherlands), subjected to water consumption monitoring at high temporal resolution (i.e. 1 s). Overall, 36,297 water-use events monitored over about 447 days were automatically segmented into 44,115 individual events by means of a new rule-based filtering algorithm, and then labelled by expert analysts. A multi-stage analysis was then conducted in order to evaluate daily per capita end-use water consumption, daily end-use profiles, average end-use parameter average, and their statistical distributions. The results achieved provide insight into the features of end-use consumption, confirming that the largest components are typically related to showers/bathtubs, toilets, and washing machines, whereas different end-use parameter distributions can emerge.
KW - Combined event segmentation
KW - Daily profiles
KW - End-use parameters
KW - Individual event labelling
KW - Water consumption
KW - Water end uses
UR - http://www.scopus.com/inward/record.url?scp=85144237528&partnerID=8YFLogxK
U2 - 10.1016/j.wri.2022.100198
DO - 10.1016/j.wri.2022.100198
M3 - Article
AN - SCOPUS:85144237528
SN - 2212-3717
VL - 29
JO - Water Resources and Industry
JF - Water Resources and Industry
M1 - 100198
ER -