An implicit method for transient gas flows in pipe networks

Kiuchi, Tatsuhiko

doi:10.1016/0142-727x(94)90051-5

Cited by 113 publications

(84 citation statements)

References 3 publications

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“…However, with leakage in the monitored region, this ratio steeply increases and then remains higher than 2 while leakage timing leak t is in the integration window of 30 = T s. Thus, leakage in a simple pipeline branch can be detected by properly setting TOL in Eq. (11).…”

Section: Leakage Detection and Locationmentioning

confidence: 95%

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Numerical study on leakage detection and location in a simple gas pipeline branch using an array of pressure sensors

et al. 2010

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Pressure signals measured in gas pipelines provide useful information for monitoring the status of pipeline network operations. This study numerically investigates leakage detection and location in a simple gas pipeline branch using transient signals from an array of pressure sensors. A pipeline network simulation model was developed and used to predict one-dimensional compressible flow in gas pipelines. Two monitoring methods were tested for leakage detection and location; these include cross-correlation monitoring and pressure differential monitoring. The performance and reliability of the two monitoring methods were numerically assessed based on simulation results for a simple pipeline branch operation with a prescribed leakage rate (5% of total flow rate in the gas pipeline).

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Section: Leakage Detection and Locationmentioning

confidence: 95%

“…In order to assess cross-correlation monitoring, the leakage detection method summarized in Eqs. (11) and (12) is tested in Fig. 9.…”

Section: Leakage Detection and Locationmentioning

confidence: 99%

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Numerical study on leakage detection and location in a simple gas pipeline branch using an array of pressure sensors

et al. 2010

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“…Many related design problems could be solved using isothermal flow processes to make the computation simpler, because energy equation is replaced by the isothermal process equation. Examples of such research studies are given in the papers by Kiuchi [1], Ke and Ti [2], and, more recently, Herrán et al [3].…”

Section: Introductionmentioning

confidence: 97%

Transient flow in natural gas pipeline – The effect of pipeline thermal model

Chaczykowski

2010

Applied Mathematical Modelling

126

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a b s t r a c tOne-dimensional, nonisothermal gas flow model was solved to simulate the slow and fast fluid transients, such as those typically found in high-pressure gas transmission pipelines. The results of the simulation were used to understand the effect of different pipeline thermal models on the flow rate, pressure and temperature in the pipeline. It was found that simplified flow model with steady-state heat transfer term overestimates the amplitude of the temperature fluctuations in the pipeline. This result indicated that unsteady heat transfer model with the effect of heat accumulation in the surroundings of the pipeline should be used to calculate the gas parameters at locations of interest within high-pressure gas transmission pipelines.

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“…And thermodynamic simulation is to solve the energy equation, also known as the thermodynamic equation, to get the temperature, enthalpy and other thermodynamic parameters. Because the hydraulic parameters are essential for describing natural gas flow inside the pipeline, historically, researchers only calculated the hydraulic equations (Wylie et al, 1974;Kiuchi, 1994). For the non-isothermal pipelines where the solution of thermodynamic equations is required, the thermodynamic hydraulic decoupling solving technology can be employed in these cases to decompose the simulation process into hydraulic simulation and thermodynamic simulation, which means the hydraulic equations are first to be solved to get the hydraulic parameters, like pressure and flow rate, then the thermodynamic equations are calculated on the basis of hydraulic parameters (Helgaker and Ytrehus, 2012;Barley, May.…”

Section: Introductionmentioning

confidence: 99%