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Pressure dependent analysis in premise plumbing system modeling.

Jonathan B Burkhardt1, John Mino2, Feng Shang1

  • 1Office of Research and Development, US Environmental Protection Agency, Cincinnati, Ohio, USA.

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Summary

Accurate modeling of premise plumbing systems requires understanding fixture-specific pressure and flow rate relationships. This study developed unique parameters and used the Water Network Tool for Resilience (WNTR) to analyze system impacts.

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Area of Science:

  • Hydraulic Engineering
  • Water Systems Modeling
  • Plumbing System Analysis

Background:

  • Premise plumbing systems significantly influence water distribution network performance.
  • Accurate modeling necessitates understanding fixture-specific pressure-flow dynamics.
  • Variable service pressure and building-wide demands complicate flow rate predictions.

Purpose of the Study:

  • To develop experimentally derived pressure-flow parameters for common plumbing fixtures.
  • To investigate the impact of premise plumbing systems on water distribution models using WNTR.
  • To highlight the necessity of detailed building-scale considerations in water network analysis.

Main Methods:

  • Experimental derivation of unique pressure-flow parameters for four faucets, a shower/tub fixture, and a toilet.
  • Utilized the Water Network Tool for Resilience (WNTR) for hydraulic modeling.
  • Analyzed two skeletonization cases of water distribution systems incorporating premise plumbing impacts.

Main Results:

  • Flow rates within premise plumbing systems exhibit complex, pressure-dependent behaviors.
  • Experimentally derived parameters provide a more accurate representation of fixture performance.
  • Minimum pressures in aggregated models must account for building-scale pressure drops and components.

Conclusions:

  • Accurate premise plumbing modeling requires integrating fixture-specific pressure-flow characteristics.
  • The Water Network Tool for Resilience (WNTR) is valuable for assessing system interdependencies.
  • Ignoring building-scale factors leads to inaccuracies in water distribution system simulations.