Metering Error Assessment Model Considering Multiple Factors

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.