Decompression of hydrogen—natural gas mixtures in high-pressure pipelines: CFD modelling using different equations of state

Liu, Bin; Liu, Xiong; Lü, Cheng; Godbole, Ajit R; Michal, Guillaume; Teng, Lin

doi:10.1016/j.ijhydene.2019.01.221

Cited by 30 publications

(15 citation statements)

References 32 publications

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“…To find the optimum values of pressure P, we need to bring the gradient of Eq (8) to zero with respect to the pressure P. But using the basic equation of ρ as proposed in the Eq (8) cannot guarantee the proper optimization for the transient pressure (see reference [24]). To overcome this problem, we will use the Taylor series as shown in the Eq (15). To find the optimal values of the function ρ(P) with respect to the transient pressure P (optimal values of pressure), we look for the zeros gradient of the series (15) as follows,…”

Section: Zero Gradient Control For Controlling the Pressurementioning

confidence: 99%

“…A computer control algorithm has been used to study optimization of gas networks under transient conditions in the paper [14]. In the paper [15], a model is proposed to predict the decompression wave speed of high-pressure hydrogen-natural gas mixtures in pipelines. In the papers [11][12][13][14][15], controlling the high pressure and transient pressure have been studied using modified computer algorithms and numerical methods.…”

Section: Introductionmentioning

confidence: 99%

“…shows a comparison of the density evolution with pressure between exact solution(8) and approximation series(15), for different values of the hydrogen mass fraction ϕ, by assuming an initial pressure P 0 = 35 bar and T 0 = 15˚C = 288 K.…”

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confidence: 99%

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Controlling the pressure of hydrogen-natural gas mixture in an inclined pipeline

Chaharborj

Amin

2020

PLoS ONE

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This paper discusses the optimal control of pressure using the zero-gradient control (ZGC) approach. It is applied for the first time in the study to control the optimal pressure of hydrogen natural gas mixture in an inclined pipeline. The solution to the flow problem is first validated with existing results using the Taylor series approximation, regression analysis and the Runge-Kutta method combined. The optimal pressure is then determined using ZGC where the optimal set points are calculated without having to solve the non-linear system of equations associated with the standard optimization problem. It is shown that the mass ratio is the more effective parameter compared to the initial pressure in controlling the maximum variation of pressure in a gas pipeline. OPEN ACCESSCitation: Chaharborj SS, Amin N (2020) Controlling the pressure of hydrogen-natural gas mixture in an inclined pipeline. PLoS ONE 15(2): e0228955.

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Section: Zero Gradient Control For Controlling the Pressurementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Controlling the pressure of hydrogen-natural gas mixture in an inclined pipeline

Chaharborj

Amin

2020

PLoS ONE

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“…For the binary methane + hydrogen mixtures, a binary specific departure function was developed, and the binary interaction coefficients are fitted using density (p,ρ,T) and vapor-liquid equilibrium data. The density points cover the gas region with hydrogen molar fractions x H 2 above 0.15 and temperatures above 270 K, and the liquid region with hydrogen molar fractions above 0.05 and temperatures as low as 130 K. Some recent studies have analyzed the performance of the AGA8-DC92 [10] and GERG-2008 [8] models, estimating the thermophysical properties of hydrogen + natural gas mixtures related to the study of density [11], and concerning the propagation of a decompression along a pipeline [12], an issue in which speed of sound plays a key role.…”

Section: Introductionmentioning

confidence: 99%

“…Table 9 shows the regression parameters of the HCSW and LJ (12,6) effective intermolecular potentials obtained from the fitting process described by equations ( 14) to (25) combined with the representation of Cp,m pg given in equations ( 33) and ( 34) as well as the results of βa(T) reported in coefficients derived from our speed of sound data increases after each step of the derivation process as is characteristic of the Monte Carlo procedure, and becomes the same order of magnitude as the final values. Determining the interaction coefficient B12(T) is highly sensitive to the mixture coefficient B(T) since the density second virial coefficients B11(T) and B22(T) of pure methane and hydrogen differ enormously.…”

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confidence: 99%

Speed of sound for three binary (CH4 + H2) mixtures from p = (0.5 up to 20) MPa at T = (273.16 to 375) K

Lozano-Martín

Martín

Chamorro

et al. 2020

International Journal of Hydrogen Energy

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Speed of sound is one of the thermodynamic properties that can be measured with least uncertainty and is of great interest in developing equations of state. Moreover, accurate models are needed by the H2 industry to design the transport and storage stages of hydrogen blends in the natural gas network. This research aims to provide accurate data for (CH4 + H2) mixtures of nominal (5, 10, and 50) mol-% of hydrogen, in the p = (0.5 up to 20) MPa pressure range and with temperatures T = (273.16, 300, 325, 350, and 375) K. Using an acoustic spherical resonator, speed of sound was determined with an overall relative expanded (k = 2) uncertainty of 220 parts in 10 6 (0.022 %). Data were compared to reference equations of state for natural gas-like mixtures, such as AGA8-DC92 and GERG-2008.Average absolute deviations below 0.095% and percentage deviations between 0.029% and up to 0.30%, respectively, were obtained. Additionally, results were fitted to the acoustic virial equation of state and adiabatic coefficients, molar isochoric heat capacities and molar isobaric heat capacities as perfect-gas, together with second and third acoustic virial coefficients, and were estimated. Density second virial coefficients were also obtained. KeywordsSpeed of sound; acoustic resonator; methane; hydrogen; heat capacities as perfect gas; virial coefficients R Molar gas constant, J•mol −1 •K −1 1 Component 1 of a binary mixture s Standard deviation 2 Component 2 of a binary mixture T Temperature, K AGA8 -DC92 Calculated from AGA8-DC92 equation of state u Standard uncertainty c Critical parameter U Expanded uncertainty EoS Calculated from an equation of state V Volume, m 3 exp Experimental data Vh Volume of the holes drilled in the transducer backplate, m 3 GERG -2008

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Computational fluid dynamic analysis of hydrogen‐injected natural gas for mixing and transportation behaviors in pipeline structures

Yan

Jia

et al. 2023

Energy Science & Engineering

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The transportation of hydrogen is a weak link in the large‐scale development of the hydrogen energy industry. Injecting hydrogen into the natural gas pipeline network for transportation is an efficient way to achieve the large‐scale, long‐distance, and low‐cost transportation of hydrogen. Hydrogen can lead to hydrogen embrittlement in natural gas pipelines and cause safety incidents if hydrogen and natural gas are not mixed uniformly. Therefore, it is necessary to study the blending process and blending uniformity of hydrogen and natural gas. In this study, a three‐dimensional model of the hydrogen‐injected natural gas pipeline was constructed. The effects of hydrogen injection inlet and turbulator configuration on the mixing process of hydrogen and natural gas were investigated using a computational fluid dynamics approach. The results show that increasing the number of hydrogen injection inlets shortens the distance L98% of uniform mixing of hydrogen and natural gas. Increasing the radial distance r from the initial hydrogen mixing positions to the center of the pipeline will shorten the distance for uniform gas mixing in the pipeline. The addition of turbulator configurations in the pipeline significantly reduces the distance to uniform gas mixing. Changing the distance Lturb from the turbulator to the initial mixing position further shortens the distance between hydrogen and natural gas mixing uniformly. The results of this study provide a reference for the structural design of the hydrogen–natural gas mixing pipeline and the gas distribution state during the mixing process.

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Decompression of hydrogen—natural gas mixtures in high-pressure pipelines: CFD modelling using different equations of state

Cited by 30 publications

References 32 publications

Controlling the pressure of hydrogen-natural gas mixture in an inclined pipeline

Controlling the pressure of hydrogen-natural gas mixture in an inclined pipeline

Speed of sound for three binary (CH4 + H2) mixtures from p = (0.5 up to 20) MPa at T = (273.16 to 375) K

Computational fluid dynamic analysis of hydrogen‐injected natural gas for mixing and transportation behaviors in pipeline structures

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