Estimate measurement errors of household water meters using a large amount of on-site data feedback
Abstract Water meter measurement error is considered as one important component of non-revenue water by International Water Association. Its magnitude depends combinedly on users’ consumption behaviors (intake spectrum) and metrological characteristics of water meters (meter error curve). Most publi...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2023-06-01
|
| Series: | Sustainable Environment Research |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s42834-023-00180-z |
| _version_ | 1797801272053596160 |
|---|---|
| author | Hsin-Liang Chen Shang-Lien Lo Jeff Kuo Chin-Ling Huang |
| author_facet | Hsin-Liang Chen Shang-Lien Lo Jeff Kuo Chin-Ling Huang |
| author_sort | Hsin-Liang Chen |
| collection | DOAJ |
| description | Abstract Water meter measurement error is considered as one important component of non-revenue water by International Water Association. Its magnitude depends combinedly on users’ consumption behaviors (intake spectrum) and metrological characteristics of water meters (meter error curve). Most published researches have only analyzed the meter error curves without taking the users’ consumption behaviors into consideration. This study developed a practical approach by using the relative difference chart of master-meters and sub-meters groupings (i.e., RM-μz chart) to identify average metering errors for a major water utility company in Taiwan. About 120,000 sets of “master-meter and sub-meter grouping” data of Taipei Water Department were analyzed. The approach successfully estimated average metering errors of its 99.6% domestic meters (around 1.6 million water meters), the results are 9.9, 6.1, and 10.0% less than the actual water consumption recorded by the sub-meters, master-meters, and direct-meters, respectively. |
| first_indexed | 2024-03-13T04:47:55Z |
| format | Article |
| id | doaj.art-db4b7fb8a663463692a0ac2770f013d9 |
| institution | Directory Open Access Journal |
| issn | 2468-2039 |
| language | English |
| last_indexed | 2024-03-13T04:47:55Z |
| publishDate | 2023-06-01 |
| publisher | BMC |
| record_format | Article |
| series | Sustainable Environment Research |
| spelling | doaj.art-db4b7fb8a663463692a0ac2770f013d92023-06-18T11:26:01ZengBMCSustainable Environment Research2468-20392023-06-013311910.1186/s42834-023-00180-zEstimate measurement errors of household water meters using a large amount of on-site data feedbackHsin-Liang Chen0Shang-Lien Lo1Jeff Kuo2Chin-Ling Huang3Graduate Institute of Environmental Engineering, National Taiwan UniversityGraduate Institute of Environmental Engineering, National Taiwan UniversityDepartment of Civil and Environmental Engineering, California State University, FullertonTaipei Water DepartmentAbstract Water meter measurement error is considered as one important component of non-revenue water by International Water Association. Its magnitude depends combinedly on users’ consumption behaviors (intake spectrum) and metrological characteristics of water meters (meter error curve). Most published researches have only analyzed the meter error curves without taking the users’ consumption behaviors into consideration. This study developed a practical approach by using the relative difference chart of master-meters and sub-meters groupings (i.e., RM-μz chart) to identify average metering errors for a major water utility company in Taiwan. About 120,000 sets of “master-meter and sub-meter grouping” data of Taipei Water Department were analyzed. The approach successfully estimated average metering errors of its 99.6% domestic meters (around 1.6 million water meters), the results are 9.9, 6.1, and 10.0% less than the actual water consumption recorded by the sub-meters, master-meters, and direct-meters, respectively.https://doi.org/10.1186/s42834-023-00180-zMetering errorMeter error curveMeter readingsRelative difference between readingsRandom variable |
| spellingShingle | Hsin-Liang Chen Shang-Lien Lo Jeff Kuo Chin-Ling Huang Estimate measurement errors of household water meters using a large amount of on-site data feedback Sustainable Environment Research Metering error Meter error curve Meter readings Relative difference between readings Random variable |
| title | Estimate measurement errors of household water meters using a large amount of on-site data feedback |
| title_full | Estimate measurement errors of household water meters using a large amount of on-site data feedback |
| title_fullStr | Estimate measurement errors of household water meters using a large amount of on-site data feedback |
| title_full_unstemmed | Estimate measurement errors of household water meters using a large amount of on-site data feedback |
| title_short | Estimate measurement errors of household water meters using a large amount of on-site data feedback |
| title_sort | estimate measurement errors of household water meters using a large amount of on site data feedback |
| topic | Metering error Meter error curve Meter readings Relative difference between readings Random variable |
| url | https://doi.org/10.1186/s42834-023-00180-z |
| work_keys_str_mv | AT hsinliangchen estimatemeasurementerrorsofhouseholdwatermetersusingalargeamountofonsitedatafeedback AT shanglienlo estimatemeasurementerrorsofhouseholdwatermetersusingalargeamountofonsitedatafeedback AT jeffkuo estimatemeasurementerrorsofhouseholdwatermetersusingalargeamountofonsitedatafeedback AT chinlinghuang estimatemeasurementerrorsofhouseholdwatermetersusingalargeamountofonsitedatafeedback |