Dry Pipe Sprinkler System Fluid Flow Simulation
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Solution Overview
Problem
Current models for dry pipe sprinkler systems are inadequate in accurately predicting time-based performance characteristics, such as liquid flow and gas interaction, due to their reliance on simplified topology and lumped volume approaches, which fail to account for fluid flow behavior in each pipe, leading to inaccurate predictions and the need for physical testing that can result in system restrictions and premature corrosion.
Innovation Solution
A computerized system and methodology that models a dry pipe sprinkler system with a tree-type piping configuration, accounting for liquid and gas flow interactions in every pipe, using a computational engine to simulate fluid flow and pressure changes, allowing for accurate prediction of time-based parameters like trip time, transit time, and liquid delivery time without physical testing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If simplified topology and lumped volume approaches are used for modeling, then device complexity is reduced, but measurement precision and manufacturing precision of time-based performance characteristics deteriorate
Solution Approach 1:
The piping network is divided into individual pipe segments, each modeled separately with its own fluid flow equations. This segmentation allows the complex system to be broken down into manageable units while maintaining overall accuracy, as each segment's behavior is calculated independently and then integrated into the system-wide model.
Solution Approach 2:
The model transitions from static lumped volume assumptions to dynamic segment-by-segment fluid flow analysis. By considering the transient behavior of fluid moving through each pipe segment over time, the model captures the actual dynamics of dry pipe system operation, including the propagation of pressure waves and fluid front movement.
2Measurement precision
If detailed piping network modeling is implemented, then measurement precision of fluid flow characteristics improves, but device complexity increases
Solution Approach 1:
The complex physical testing process is replaced with a computational model that uses mathematical equations to simulate fluid flow behavior. This substitution eliminates the need for actual physical tests while providing accurate predictions of trip time, transit time, and other performance characteristics through numerical calculation rather than mechanical experimentation.
Solution Approach 2:
The model incorporates variable fluid properties and boundary conditions that change over time, such as pressure variations, temperature effects, and phase changes. By allowing these parameters to vary dynamically rather than assuming constant values, the model achieves higher precision in predicting system behavior under different operating conditions.
3Reliability
If physical testing is conducted to verify system performance, then reliability of performance data improves, but loss of time and productivity deteriorate due to system restrictions and reinstallation requirements
Solution Approach 1:
A virtual copy of the physical dry pipe system is created through computational modeling. This digital replica allows for repeated testing and verification without affecting the actual physical system. The model can be run multiple times with different scenarios, eliminating the need for time-consuming physical tests while providing reliable performance data that can be used for design optimization and code compliance verification.
4Adaptability or versatility
If dry pipe systems are used in unheated areas, then adaptability to freezing conditions improves, but loss of time in fluid discharge increases due to air evacuation requirements
Solution Approach 1:
The system pre-positions fluid in a ready state within the piping network, separated from the protected area by a closed valve. This preliminary arrangement allows for rapid response when needed, as the fluid is already in place and only requires valve opening to begin discharge, eliminating the time delay associated with air evacuation while maintaining protection against freezing conditions.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system provides accurate predictions of fluid flow characteristics within 20% of actual values, enabling the design and installation of dry pipe sprinkler systems that meet performance criteria without physical testing, reducing system restrictions and preventing premature corrosion.
Implementation Method 1
computing fluid flow from the wet portion to the dry portion including computing the flow time from the wet portion to a portion of the dry portion
Implementation Method 2
the pipe is filed with a gas and liquid enters the piping network once the gas is expelled from the piping network by actuation of a sprinkler
Implementation Method 3
the air pressure in the system can be used to hold a dry pipe valve closed, and the valve can be opened upon with a loss of air pressure in the system
Implementation Method 4
The actuation of one or more sprinklers will allow air to escape the piping network and result in the tripping of the dry pipe valve
Data Source
AI summary
A method of and a computer program for analyzing models of dry pipe systems. The computer program includes a user interface and a model generator in communication with the user interface. The method and computer program provide for modeling a referential dry pipe system as a plurality of interconnected nodes, the nodes corresponding to a pipe connector, the interconnection between the nodes corresponding to a pipe device. The plurality of nodes can define a dry portion and a wet portion with the wet portion including a liquid source and the dry portion including a plurality of interconnected pipes to define a volume of gas. The nodes in the dry portion can define a set of nodal devices open to ambient. The method and computer program can provide for computing fluid time based parameters to simulate the liquid flowing from the wet portion to determine at least flow time of the liquid from the wet portion to the open devices. The method and computer program can provide for verification of the liquid flow time in the model within 20% of an actual liquid flow time in the referential dry pipe system.