Metering Error Assessment Model Considering Multiple Factors
Li, Kunyi and Gao, Jinliang and Wu, Wenyan and Qi, Shihua and Cao, Huizhe (2024) Metering Error Assessment Model Considering Multiple Factors. Engineering Proceedings, 69 (10). ISSN 2673-4591
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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.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.
| Item Type: | Article | ||||||
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| Identification Number: | https://doi.org/10.3390/engproc2024069047 | ||||||
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| Uncontrolled Keywords: | apparent losses, metering error, metering error assessment model, GEP algorithm | ||||||
| Subjects: | CAH10 - engineering and technology > CAH10-01 - engineering > CAH10-01-08 - electrical and electronic engineering | ||||||
| Divisions: | Faculty of Computing, Engineering and the Built Environment > College of Engineering | ||||||
| Depositing User: | Gemma Tonks | ||||||
| Date Deposited: | 17 Sep 2024 10:17 | ||||||
| Last Modified: | 17 Sep 2024 10:21 | ||||||
| URI: | https://www.open-access.bcu.ac.uk/id/eprint/15848 |
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