dc.contributor.author	Mantilla Pena, Carlos Fernando	en
dc.contributor.committeechair	Widdowson, Mark A.	en
dc.contributor.committeechair	Boardman, Gregory D.	en
dc.contributor.committeemember	Scardina, Robert P.	en
dc.contributor.committeemember	Jazizadeh, Farrokh	en
dc.contributor.committeemember	Gallagher, Daniel L.	en
dc.contributor.department	Civil and Environmental Engineering	en
dc.date.accessioned	2021-07-16T06:00:06Z	en
dc.date.available	2021-07-16T06:00:06Z	en
dc.date.issued	2020-01-22	en
dc.description.abstract	The American Water Works Association (AWWA) and the International Water Association (IWA) have designated the volume of water not registered by water meters as a form of "apparent loss" in a distribution system. The term apparent is given because this volume is not technically a water loss, as is the case of wasted water from real leaks in the distribution system. Large volumes of apparent losses hurt the revenue of utilities that rely on water metering to bill their customers. This is critical to utilities given that billed consumption is often the main source of income to provide adequate service. This form of apparent losses is a challenge to water management, particularly, in the case of significant drought because of the uncertainty about the real volume of water consumed. Although the impact of apparent losses from a single residential service connection is not as significant compared to an industrial meter with low accuracy, the cumulative effect of apparent losses across residential users can be very significant. Until the early 2000's water utilities in the U.S. relied on mechanical water meters to measure residential water use. Since then, electronic meters with higher accuracy at low flow rates have been developed. Data collection from meters has also evolved as well, from the manual reading by an operator, to drive-by systems and most recently to remote readings using a network of transmitters/receivers (i.e., advanced metering infrastructure or AMI). An expectation of this dissertation is that it will help water utilities to have a better idea of the volume of apparent losses due to metering inaccuracy (i.e., registration error) and provide insights into the effects of installing AMI systems to residential metered water (MW). To achieve this goal, two main objectives are fulfilled 1) to expand on the knowledge of registration error (RE) in mechanical nutating-disc (ND) meters used to monitor residential consumption, and 2) to evaluate the impact of metering infrastructure upgrades on the volume of metered water (MW) from residential service connections. This dissertation follows the manuscript format with three journal articles constituting the main chapters after a general introduction characterizing the issues in Chapter 1. Chapter 2 is an experimental study that evaluates the influence of service time (ST) and volumetric throughput (TP) on the accuracy of ND meters within the recommended flow rates set by the U.S. water industry for meters with an internal diameter of ⅝-in. (15-mm). Over 300 meters removed from service were tested for accuracy. Key findings of this study are 1) ND meters that have been in service over 25 years have a greater likelihood of poor accuracy at the minimum recommended flow rate (Q^min) of 0.25 gallons per minute (gpm) (57 liters per hour (L/h)) and 0.5 gpm (114 L/h) independent of TP, and 2) comparison with data from accelerated laboratory testing showed that simulated use may not necessarily reflect the actual performance of ND meters in service, particularly, at 0.25 and 0.5 gpm. Chapter 3 is an experimental study that investigates REs of ND meters below the minimum recommended flow rate (Q^min = 0.25 gpm), particularly, at ½, ¼ and ⅛ of Q^min. Over 100 meters removed from service were tested in this study. Key findings of this study are 1) confirmed how performance decreases with reducing flow rate below Q^min, 2) of the variables considered, TP was found to be a better indicator of RE at Q_(1/8)^min up to an approximate meter reading of 0.66 MG (2.5 ML) compared to ST for 10 ≤ ST ≤ 24 years, with minimal influence at Q_(1/4)^min and none at Q_(1/2)^min, and 3) a strong linear relationship was found between RE at Q_(1/2)^min and RE at Q^min independent of TP or ST. Chapter 4 is a study that evaluates the extent to which the implementation of a new AMI system combined with a system-wide installation of new ND meters impacted the volume of MW from residential service connections of a 22,000-person municipality in southwest Virginia. Time-series analysis techniques were employed to evaluate changes in the trend of bimonthly MW and median daily MW over a six-year period. Key findings of this study are 1) the AMI system improved the accountability of MW for the utility, 2) despite an ongoing downward annual trend in MW, average bimonthly MW mildly increased after the AMI system was fully operational, and 3) annual MW increased by 2.2% in the 12-month period immediately following the metering infrastructure upgrade.	en
dc.description.abstractgeneral	An expectation of this dissertation is that it will help water utilities to have a better idea of the volume of water not being measured by residential water meters in their system (i.e., registration error) and provide insights into the effects of replacing water meters and installing automatic data collections systems (i.e., metering infrastructure upgrades) to improve accounting of water and revenue. To achieve these goals three studies were conducted. In the first two studies, over 400 nutating-disc (ND) water meters, a type of mechanical meter used to measure water, were removed from service and tested to evaluate the percent of water not measured at different ranges of flow (volume per time), and to determine if metering errors changed depending on the service time (ST) of the meter or total volume of water that had gone through (TP) it while in service. The third study consisted in the review of water consumption data from a municipality in southwest Virginia that underwent a metering infrastructure upgrade consisting of replacing all their water meters and installing an advanced metering infrastructure (AMI) system (i.e., automatic meter reading). Key findings discussed in this dissertation are 1) confirmed how performance of ND meters decreases with reducing flow rate below 0.25 gallons per minute (gpm). This is the minimum flow rate (Q^min) recommended by the U.S. water industry for accuracy testing of mechanical meters. 2) ND meters that have been in service over 25 years have a greater likelihood of poor accuracy at Q^min and 0.5 gpm independent of TP. 3) The relative influence of TP and ST on accuracy varied with the test flow rate. 4) Comparison with data from accelerated laboratory testing showed that simulated use may not necessarily reflect the actual performance of ND meters in service, particularly, at 0.25 and 0.5 gpm. 5) The AMI system improved the accountability of water for the utility. 6) Despite an ongoing downward annual trend in metered water (MW), average bimonthly MW mildly increased after the AMI system was fully operational. And 7) annual MW increased by 2.2% in the 12-month period immediately following the metering infrastructure upgrade.	en
dc.description.degree	Doctor of Philosophy	en
dc.format.medium	ETD	en
dc.identifier.other	vt_gsexam:23777	en
dc.identifier.uri	http://hdl.handle.net/10919/104181	en
dc.publisher	Virginia Tech	en
dc.rights	In Copyright	en
dc.rights.uri	http://rightsstatements.org/vocab/InC/1.0/	en
dc.subject	water meter performance and accuracy	en
dc.subject	metering infrastructure upgrade	en
dc.subject	non-revenue water	en
dc.subject	apparent water losses	en
dc.subject	nutating-disc meters	en
dc.subject	metering infrastructure	en
dc.title	Evaluation of In-Service Residential Water Meters: Analysis of Registration Error and Metering Infrastructure Upgrades	en
dc.type	Dissertation	en
thesis.degree.discipline	Civil Engineering	en
thesis.degree.grantor	Virginia Polytechnic Institute and State University	en
thesis.degree.level	doctoral	en
thesis.degree.name	Doctor of Philosophy	en

Evaluation of In-Service Residential Water Meters: Analysis of Registration Error and Metering Infrastructure Upgrades

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