Modeling water age in a full‐scale residential plumbing system

The residence time of water in residential building systems is a critical factor regarding quality at end use. Published literature has highlighted the importance age these and its relationship with pathogenic bacteria such as Legionella pneumophila. However, tools to measure plumbing are typically repurposed from other applications include limitations that make them inappropriate for some systems. This work presents novel means estimating by assuming operate without mixing. Data this study was collected full-scale home equipped an extensive array flow meters monitor Further, 408 individual samples were ascertain changes take place plumbing. Model results show weak correlation EPANET 2.2 (ρ = 0.666), commonly used hydraulic modeling software. model also evaluated several variable selection tools. These analyses indicate method's statistically significant (p < .05) predictor concentrations. approach could be design and/or operation assist managing risks.