
doi: 10.2172/6476880
Sandia presently has two computer codes capable of modeling local pressure and enthalpy losses in lines connecting gas reservoirs and receivers. Each code conserves flow continuity, momentum, and energy as a function of position along the flow path. The first of these codes, DUCTFLO, models gas flow by solving a set of coupled algebraic equations. The DUCTFLO code has been formulated to make direct use of laboratory total pressure and enthalpy loss data. The second code, TOPAZ, models gas flow by solving a set of coupled ordinary differential equations using a conventional finite difference technique. The TOPAZ finite difference equations must be altered slightly in order to make use of laboratory total pressure and enthalpy loss data. In this report, methods for implementing empirical loss data in the two codes are discussed. In quasi-steady flow situations, it is shown that the two codes predict the same gas transfer for a given set of empirical loss data. This is demonstrated in an example problem consisting of a reservoir and receiver connected by a series of seven flow components each having unique loss characteristics. 11 references, 6 figures, 2 tables.
Numerical Solution, Equations, Finite Difference Method, Thermodynamic Properties 420400* -- Engineering-- Heat Transfer & Fluid Flow, T Codes, & Storage, Enthalpy, Differential Equations, 42 Engineering, Gas Flow, Fluid Flow, Computer Codes, Handling, 030300 -- Natural Gas-- Drilling, Production, Pressure Drop, 032000 -- Natural Gas-- Transport, 620, Physical Properties, & Processing, D Codes, Pipes, 03 Natural Gas, Iterative Methods
Numerical Solution, Equations, Finite Difference Method, Thermodynamic Properties 420400* -- Engineering-- Heat Transfer & Fluid Flow, T Codes, & Storage, Enthalpy, Differential Equations, 42 Engineering, Gas Flow, Fluid Flow, Computer Codes, Handling, 030300 -- Natural Gas-- Drilling, Production, Pressure Drop, 032000 -- Natural Gas-- Transport, 620, Physical Properties, & Processing, D Codes, Pipes, 03 Natural Gas, Iterative Methods
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