Metering Error Assessment Model Considering Multiple Factors

Kunyi Li; Jinliang Gao; Wenyan Wu; Shihua Qi; Huizhe Cao

doi:10.3390/engproc2024069047

Metering Error Assessment Model Considering Multiple Factors

Kunyi Li (Corresponding / Lead Author), Jinliang Gao (Corresponding / Lead Author), Wenyan Wu (Corresponding / Lead Author), Shihua Qi (Corresponding / Lead Author), Huizhe Cao (Corresponding / Lead Author)

Research output: Contribution to journal › Article › peer-review

Abstract

This study investigates novel methods for estimating metering errors in water meters, crucial for effectively managing apparent losses in Water Distribution Networks. Laboratory experiments were conducted to analyze the impact of various factors on metering errors. The Gene Expression Programming (GEP) algorithm was used to create a metering error assessment model, which was then validated through field trials in a DMA. Results indicate that metering errors are influenced by factors such as installation position, tilt angle, flow rates, and operational time. The GEP-based model showed high accuracy, with a mean squared error as low as 0.08, and a mere +0.5% difference from actual field measurements. This model offers water utility companies a cost-effective tool to assess metering errors without disassembly, offering a cost-effective tool for enhancing water supply management.

Original language	English
Article number	47
Journal	Engineering Proceedings
Volume	69
DOIs	https://doi.org/10.3390/engproc2024069047
Publication status	Published (VoR) - 4 Sept 2024

Keywords

apparent losses;
metering error; metering error assessment model;
GEP algorithm

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10.3390/engproc2024069047Licence: CC BY

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title = "Metering Error Assessment Model Considering Multiple Factors",

abstract = "This study investigates novel methods for estimating metering errors in water meters, crucial for effectively managing apparent losses in Water Distribution Networks. Laboratory experiments were conducted to analyze the impact of various factors on metering errors. The Gene Expression Programming (GEP) algorithm was used to create a metering error assessment model, which was then validated through field trials in a DMA. Results indicate that metering errors are influenced by factors such as installation position, tilt angle, flow rates, and operational time. The GEP-based model showed high accuracy, with a mean squared error as low as 0.08, and a mere +0.5% difference from actual field measurements. This model offers water utility companies a cost-effective tool to assess metering errors without disassembly, offering a cost-effective tool for enhancing water supply management.",

keywords = "apparent losses;, metering error; metering error assessment model;, GEP algorithm",

author = "Kunyi Li and Jinliang Gao and Wenyan Wu and Shihua Qi and Huizhe Cao",

year = "2024",

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day = "4",

doi = "10.3390/engproc2024069047",

language = "English",

volume = "69",

journal = "Engineering Proceedings",

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TY - JOUR

T1 - Metering Error Assessment Model Considering Multiple Factors

AU - Li, Kunyi

AU - Gao, Jinliang

AU - Wu, Wenyan

AU - Qi, Shihua

AU - Cao, Huizhe

PY - 2024/9/4

Y1 - 2024/9/4

N2 - This study investigates novel methods for estimating metering errors in water meters, crucial for effectively managing apparent losses in Water Distribution Networks. Laboratory experiments were conducted to analyze the impact of various factors on metering errors. The Gene Expression Programming (GEP) algorithm was used to create a metering error assessment model, which was then validated through field trials in a DMA. Results indicate that metering errors are influenced by factors such as installation position, tilt angle, flow rates, and operational time. The GEP-based model showed high accuracy, with a mean squared error as low as 0.08, and a mere +0.5% difference from actual field measurements. This model offers water utility companies a cost-effective tool to assess metering errors without disassembly, offering a cost-effective tool for enhancing water supply management.

AB - This study investigates novel methods for estimating metering errors in water meters, crucial for effectively managing apparent losses in Water Distribution Networks. Laboratory experiments were conducted to analyze the impact of various factors on metering errors. The Gene Expression Programming (GEP) algorithm was used to create a metering error assessment model, which was then validated through field trials in a DMA. Results indicate that metering errors are influenced by factors such as installation position, tilt angle, flow rates, and operational time. The GEP-based model showed high accuracy, with a mean squared error as low as 0.08, and a mere +0.5% difference from actual field measurements. This model offers water utility companies a cost-effective tool to assess metering errors without disassembly, offering a cost-effective tool for enhancing water supply management.

KW - apparent losses;

KW - metering error; metering error assessment model;

KW - GEP algorithm

UR - https://www.open-access.bcu.ac.uk/15848/

U2 - 10.3390/engproc2024069047

DO - 10.3390/engproc2024069047

M3 - Article

SN - 2673-4591

VL - 69

JO - Engineering Proceedings

JF - Engineering Proceedings

M1 - 47

ER -

Metering Error Assessment Model Considering Multiple Factors

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Keywords

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