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Fluids
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14 February 2023

The LNG Flow Simulation in Stationary Conditions through a Pipeline with Various Types of Insulating Coating

and
The Department of Transportation and Storage of Oil and Gas, Saint Petersburg Mining University, Saint Petersburg 199106, Russia
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Author to whom correspondence should be addressed.

Abstract

Liquefied natural gas (LNG) is one of the most promising fuels for energy supply because it has a favorable combination of environmental and economic properties in connection with new trends aimed at the development of ecological and sustainable consumption of natural resources, which ensure a constant growth in LNG consumption. The article presents an analytical review of the main technical solutions for the construction of cryogenic pipelines and insulating coating structures. The ANSYS Fluent software was used for simulation of the LNG flow in a pipeline section 10 m long with an outer diameter of 108 mm for three types of insulating coating (polyurethane (PU) foam, aerogel, and vacuum-insulated pipe (VIP)). In addition, an assessment was made of the insulating effect on the LNG temperature distribution along the length of the pipeline. The largest increase in temperature from 113 K to 113.61 K occurs in PU foam-insulated pipes; the smallest was observed in VIP. Further, as an alternative to steel, the use of ultra-high molecular weight polyethylene (UHMWPE) for pipeline material was considered. The optimal result in terms of temperature distributions was obtained while simulating the flow of an LNG pipeline with PU foam by increasing the thickness of the insulating coating to 0.05 m.

1. Introduction

The issue of pipeline transport of liquefied gases has been discussed by scientists since the second half of the 20th century. At that time, several test specimens were built, but most of them were too short, and some of them failed.
The process of LNG transportation is associated with a large number of technical and technological difficulties, the solution to which requires an integrated approach.
The main point that should be taken into account during all stages of the pipeline life cycle, from its design to operation, is the prevention of two-phase flow formation along the entire length of the pipe.
The presence of non-equilibrium states in the phases during cryogenic liquid transportation leads to the occurrence of pressure pulsations and flow destabilization, which eventually can provoke emergency situations.
As an example, LNG overheats and begins to boil due to a high temperature gradient between the medium that enters the filling process and the pipeline itself. The bubbles formed during the boiling process start to grow and subsequently merge into a larger bubble (the term “Taylor bubble” can be found in the literature), which fills the entire section of the pipeline. As it is rising, the “Taylor bubble” pushes the liquid from the filled pipeline back into the storage tank. At this point, the cold liquid at the bottom of the tank rushes into the empty line due to gravity and the reduced pressure created by the condensation of steam in the line. This fluid column impacts a closed valve or any other obstruction at the bottom of the line with a velocity high enough to create a potentially damaging fluid hammer. The pressure rises sharply, and the liquid is ejected back into the storage. [1,2,3].
The mathematical description and numerical simulation of phase transitions and two-phase flows, as well as the prediction of the phenomena mentioned above, are very difficult tasks to perform [3,4,5,6,7,8].
The issues of appropriate material selection for the pipeline and the basic principles of design are very important due to the fact that LNG pipelines operate at cryogenic temperatures.
Additionally, apart from the fact that pipeline material has to have high impact strength and plasticity in combination with high strength [9,10,11], it is necessary to select the insulating coating of the pipeline correctly, as well as the technology of its application.
The system of LNG production and distribution represents a single technological complex, which also includes LNG transportation and storage systems. At the same time, technologies are being developed that help reduce LNG evaporation during storage [12,13,14] as well as prediction models for LNG evaporation [15,16,17]. The latter helps to reduce the risks of flow destabilization on the process lines. In this regard, maintaining the LNG temperature in the production system is achieved both through appropriate material choice and the integration of technological solutions based on the basic principles of fluid dynamics.
Furthermore, much attention is being paid to the development of hydrogen energy and renewable energy sources as an alternative to LNG. However, these sources have a number of unsolved problems that do not allow them to become applicable alternatives to LNG in the foreseeable future.
As a result, the widespread use of hydrogen energy is largely prevented by certain issues with safe storage and transportation, such as fluid evaporation, high corrosivity, low production efficiency, insufficient infrastructure, and a lack of developed mechanisms for market interaction. Furthermore, renewable energy technologies today are unable to ensure the production of energy sufficient to cover the ever-increasing demand for energy resources. [18,19,20].
The purpose of this article is to analyze the existing designs of cryogenic pipelines used for the transportation of liquefied gases, as well as solutions for the installation of their insulating coating.

3. Materials and Methods

As part of the analysis of the influence of various types of insulating coating on the temperature distribution along the length of the pipeline, the ANSYS Fluent software package was used to simulate the flow of liquefied natural gas through the pipeline with various types of insulating coating.
The material of the pipe is stainless steel AISI 321, external diameter is dext = 108 mm; δ = 5 mm. The initial data for modeling are presented in Table 1 and Table 2. The LNG composition was chosen based on the composition (CH4—99.8%; C2H6—0.07%; N2—0.13%) presented in [44]. The REFPROP 9.0 software was used to calculate the main properties of LNG at the transportation temperature. It can also be found in the reference data in [45] or calculated based on widely-used equations of state [8,46].
Table 1. Properties of LNG [44].
To determine the parameters of LNG transportation (pressure and temperature), it is generally accepted to use a liquid phase diagram in order to prevent the two-phase flow formation of cryogenic liquid (Figure 5).
Figure 5. Phase diagram of LNG (CH4—99.8%; C2H6—0.07%; N2—0.13 %).
The area on the left corresponds to a liquid in a single-phase state, and as can be seen from the diagram, the critical point for LNG is located in the area of 190 K at the corresponding pressure. The transportation parameters were chosen in accordance with the area of the diagram located on the left, above the evaporation onset curve. Phase transition temperature is 138.55 K in case of gauge pressure 0.6 MPa.
The three most widely used types of insulation cover were considered: polyurethane foam, aerogel insulation using Cryogel® Z, and vacuum insulation as multi-layer insulation.
Determining the required thickness of the insulating coating is also a difficult task. For its theoretical solution, differential heat balance equations are used. These equations take into account the complex nature of heat transfer during heat flux, convection, and radiation. The application of these equations requires knowledge of the parameters, which can only be determined based on the results of experimental data in each specific case.
Generally, for the three-dimensional formulation of the problem, the heat flux is determined on the basis of Fourier’s law:
1 a t τ = 2 t x 2 + 2 t y 2 + 2 t z 2 ,
where a = λ/(ρ∙Cp); λ—thermal conductivity coefficient; ρ—material density, Cp—heat capacity [47].
Within the framework of this study, the data from the standard [37] were used to determine the thickness of the heat-insulating coating.
The linear density of the heat flux through the cylindrical surfaces is calculated by the formula:
q L = T lng T a t R int + R w + i = 1 n R i n s i + R e x t ,
Tlng—temperature of LNG, Tat—ambient temperature, Rint—resistance to heat transfer on the inner surface of the wall of the insulated object, m2∙K/W; Rw—thermal resistance of the wall of the insulated object, m2∙K/W; i = 1 n R i n s i —total linear thermal resistance of n-layer cylindrical insulation; Rinsi—linear thermal resistance of the i-layer, m2∙K/W; Rext—resistance to heat transfer on the outer surface of the thermal insulation, m2∙K/W.
Heat transfer resistance and thermal resistance of the walls:
R int = 1 π d int w α int ,
R e x t = 1 π d e x t i n s α e x t ,
R i n s = 1 2 π d λ i n s ln d e x t i n s d int w ,
R w = 1 2 π d λ w ln d e x t w d int w ,
R i = 1 2 π d λ i ln d e x t i d int i ,
where αint, αext are the heat transfer coefficients of the inner surface of the wall of the insulated object and the outer surface of the insulation, W/(m2∙K); λw, λins, λi—thermal conductivity coefficients of the wall material, of the insulated object of single-layer insulation, insulation of the i-th layer of n-layer insulation, respectively, W/(m2∙K); δw, δins, δi—wall thickness of the insulated object, single-layer insulation of the i-layer of n-layer insulation, respectively; d int w , d ext w —inner and outer diameters of the wall of the insulated object; d ext ins —outer diameter of the insulation; d ext i , d int i —outer and inner diameters of the i-layer of n-layer insulation.
As mentioned above, heat transfer in vacuum insulation systems is carried out mainly due to radiation.
Q = η E 0 σ s 10 8 H T 2 100 4 T 1 100 4 ,
η—screening efficiency; E0—reduced emissivity of the system of two boundary surfaces; σs—Stefan-Boltzmann constant; H—the mutual radiation surface.
Screening efficiency for the cylindrical system:
η = 1 + E 0 E s r 1 m = 1 n 1 r 1 + m n + 1 r 2 r 1 1 ,
Es—reduced emissivity of the system of two adjacent screens, n is the number of screens between shells with outer radii r1 and r2.
In practice, the value of the heat flux is often determined by the formulas for the transfer of heat by thermal conductivity through a cylindrical layer, replacing the coefficient of thermal conductivity in the formula by the value of heat conduction by radiation, λrad [42,47]:
q = 2 π λ r a d T 2 T 1 ln d 2 d 1 ,
At the same time, international standards describe methods for determining the thickness of insulating coatings using simplified formulas based on the following assumptions.
The resistance to heat transfer from the internal environment to the inner surface of the wall for liquid and gaseous media is negligible in comparison with the thermal resistance of the heat-insulating layer and may not be taken into account in practical calculations.
The thermal conductivity of the walls of pipelines made of metal is ten times higher than that of the insulation, so the thermal resistance of the walls can also be neglected without a noticeable decrease in the accuracy of the calculation.
Taking into account the above assumptions, it is possible to use simplified formulas for determining the thickness of the insulating coating for a given decrease (increase) in the temperature of the substance transported by pipelines:
The required total thermal insulation resistance R = Rins + RL of a pipeline of length L is required to ensure a given temperature increase of the substance transported through it from the initial tlng_in to the final tlng_out at the substance flow rate G, kg/h, heat capacity C, kJ/(kg∙°C), tat—design ambient temperature is determined from the following expressions:
R i n s = 3.6 K × L t lng _ in + t lng _ out 2 - t a t G × C t lng _ in - t lng _ out ,
Rins—thermal resistance of a flat insulation layer, (m2∙°C)/W; K is the coefficient of additional losses, which takes into account heat losses through heat-conducting inclusions in heat-insulating structures, occurring due to the presence of fixing devices and supports in them [37].
According to the tables [37], the value of the linear thermal resistance of the outer insulation is Rl = 0.2 (m·°C)/W.
Insulating coating thickness:
δ i n s = d e x t B 1 2 ,
where parameter B = e 2 π λ i n s R i n s R e x t ; λins is the coefficient of thermal conductivity of the insulating coating, W/(m2∙°C).
The calculation was carried out for the case when the limit of LNG temperature change was set from 113 K to 123 K at an ambient temperature of 293 K. The permissible limit of LNG temperature change is selected taking into account the prevention of liquid boiling processes at a given transportation pressure (in this case, 0.6 MPa) and two types of insulating coating: PU foam and Cryogel® Z.
The vacuum insulated pipeline (VIP) system is introduced as a structure consisting of aluminum foil and glass fiber 0.2 mm thick, with a stacking density of 15 screens per 1 cm for a cylindrical surface, and a total layer thickness of 10 mm [42].
Table 2. Material properties.
Table 2. Material properties.
Steel AISI 321 [48]PU Foam [37]Cryogel® Z [49]VIP [42]
Density (ρ, kg/m3)790070160120
Heat capacity (Cp, J/(kg∙K))50414009431030
Thermal conductivity coefficient (λ, W/(m∙K))170.030.0140.00011
Thickness, (δ, m)0.0050.010.010.01

4. Results

As part of this study, a three-dimensional model of a pipeline with an insulating coating was built in SpaceClaim in ANSYS. Fluent with the symmetry condition, during simulation, we used the “inflation” function to create additional mesh thickening. As a result, the calculations in the near-wall region were more precise. (Figure 6). Solution areas were discretized as a finite number of elements to obtain solutions numerically using finite volume methods.
Figure 6. Meshing Operation.
As solver settings, the realizable k-epsilon turbulence model with enhanced wall treatment to be used for the LNG pipe flow will enable the energy equation for the simulation.
The governing heat transfer equation in ANSYS Fluent takes the following form:
ρ E t + v ρ E + p = λ T j h j J j + τ = v + S h ,
where ρ—density, E—total energy, —nabla operator; p—pressure; λ—effective conductivity, v —overall velocity vector; J j —the diffusion flux of species j; hj—species enthalpy; τ = — stress tensor, and Sh—is the heat of chemical reaction.
Effective conductivity includes the thermal conductivity of the material and the turbulent thermal conductivity, which is defined based on the used turbulence model.
The first three terms on the right-hand side of Equation (13) represent energy transfer due to conduction, species diffusion, and viscous dissipation, respectively [50].
In this case, the transport equation for the realized k-epsilon turbulence model is based on two separate models of the turbulence equation for the turbulence kinetic energy and the energy dissipation rate, which allow both the turbulent length and the time scale to be determined:
ρ k t + ρ k u j x j = x j μ + μ t σ k k x j + G k + G b ρ ε Y M + S k ,
ρ ε t + ρ ε u j x j = x j μ + μ t σ ε ε x j + ρ C 1 S ε ρ C 2 ε 2 k + v ε + C 1 ε ε k C 3 ε G b + S ε ,
C 1 = max 0.43 ; S k / ε S k / ε + 5 .
where k—turbulence kinetic energy; ε—energy dissipation rate; uj, v—components of the flow velocity perpendicular or parallel to the gravitational vector, respectively, μ—dynamic viscosity, μt—eddy viscosity; Gk—generation of turbulence kinetic energy due to the mean velocity gradients; Gb—generation of turbulence kinetic energy due to buoyancy, Ym—the contribution of the fluctuating dilatation in compressible turbulence to the overall dissipation rate, Sk, Sε—user-defined source terms, σk, σε, C1ε, C3ε, C2—the model constants, S = 2 S i j S i j , Sij—mean strain rate tensor.
A realizable k-epsilon turbulence model was chosen for further simulation because it takes into account the effect of mean flow distortion on turbulent dissipation and is considered the most proven and widely used [50].
The simulation of the flow of liquefied natural gas in a pipeline section 10 m long was carried out in an insulating coating of PU foam, VIP, and aerogel. The boundary conditions were defined as velocity inlet 1.821 m/s, LNG temperature 113 K, and outlet pressure 0.579471 MPa (calculated, based on hydraulic formulas), while the wall temperature of the insulation was assumed to be equal to the ambient temperature of 293 K at mesh interfaces between LNG and pipe, while pipe and insulation were assumed to be coupled walls.
Figure 7 shows the temperature distribution along the length of the pipeline when PU foam, Cryogel® Z, and VIP are used.
Figure 7. LNG flow in the pipeline section with various types of insulation coating. (a) polyurethane foam insulation; (b) Cryogel® Z; (c) VIP.
The LNG flow velocity profile in the cross section of the pipe corresponds to the turbulent flow pattern, which is confirmed in the case of a standard hydraulic calculation for the pipeline (Figure 8).
Figure 8. LNG flow velocity profile in the cross section of a pipe with various types of insulating coating. (a) PU foam insulation; (b) Cryogel® Z insulation; (c) VIP.

5. Discussion

Figure 9 presents a comparative analysis of the LNG temperature distribution. According to the simulation results, it can be said that the temperature of LNG with VIP increases more slowly than for a similar one using aerogels and polyurethane foam insulation.
Figure 9. Asymmetrical temperature distribution along the pipeline.
At the time of the preparation of the article, there was no reliable information on modeling the flow of LNG through pipelines with various types of insulation present. Therefore, to assess the adequacy of the model, the data for similar modeling, which had been performed for liquid nitrogen, were used. The graphs of temperature distribution along the pipeline also correspond to the theoretical expectations presented in other studies [40,41].
Due to the complexities of using VIP, as mentioned in Section 2.2, the LNG flow in pipelines with different thicknesses of polyurethane foam insulation (0.01 m; 0.05 m; 0.1 m) was additionally simulated in order to reduce heat gains to the level of insulation provided for VIP (Figure 10).
Figure 10. Asymmetrical temperature distribution along the pipeline with different thickness of PU foam insulation.
Due to the fact that the use of CFD simulation for long-length pipelines (more than 100 m) is limited, the simulation results were approximated by curve resolution and then extrapolated to the length of 1000 m. Extrapolation was carried out by an equation of the form:
T x = a e b x + c ,
where a = Tin − c; b, c—coefficients of best fit.
As a result of the simulation results extrapolation, the LNG temperature in a pipe with a thickness of PU foam insulation of 0.01 m exceeds the LNG phase transition temperature (138.55 K), which leads to two-phase flow formation and destabilization of flow.
An additional increase in the thickness of the PU foam layer up to 0.05 m for a pipe with an external diameter of 0.108 m provides a significant increase in the insulation level, while a further increase in the thickness up to 0.1 m no longer has a significant effect.
Further, it is possible to provide an insulation level comparable to VIP; the difference between the two types of insulation is 3.81 K per 1000 m of pipe. Regarding the light weight of PU foam, the loading arising from the weight of such an insulating coating does not have a significant effect on the stress-strain state in comparison with the loading from the weight of the LNG and the pipeline material itself, which is observed from the low specific gravity of the material.
As an alternative to the proposed solutions, the authors consider the possibility of using polymer materials. To date, the production of polymer materials is intensively rising, new materials are appearing that, in their strength characteristics, are comparable to widely used steels, and there is a growing interest in research into the behavior of polymers at cryogenic temperatures [51,52,53].
Ultra-high molecular weight polyethylene is a type of polyethylene (UHMWPE) with a molecular weight of 1 × 106 and above. Advanced researchers consider it a promising structural material for construction due to its great material performance, including wear resistance, strength, and high impact strength at cryogenic temperatures (up to −196 °C) [54].
The simulation of LNG flow in a UHMWPE pipeline with an external diameter of dext = 0.11 m and a wall thickness δ = 0.01 m (density: 930 kg/m3, heat capacity: 1900 J/(kg∙K), thermal conductivity coefficient: 0.3 W/(m∙K)) with a PU-foam insulation coating was performed in a similar manner. Figure 11 depicts the LNG temperature distribution along the length of the UHMWPE pipeline when different thicknesses of PU foam were used.
Figure 11. Asymmetrical temperature distribution along the UHMWPE pipe with different thickness of PU foam insulation.
With an increase in the thickness of UHMWPE pipe’s insulation to 0,05 m, the level of temperature distribution in the pipeline from UHMWPE and steel is almost the same, which is an interesting result, since there is a significant difference in the thermal conductivity coefficient of UHMWPE λ = 0.3 W/(m∙K) and steel λ = 17 W/(m∙K).
Table 3 compares the maximum temperature in the pipe with different dimensional ratios between the thickness of the pipe and the insulating coating.
Table 3. Maximum temperature of LNG in the pipeline at different thicknesses of the PU-foam insulation.
Apparently, an increase in the thickness of the insulating coating relative to the thickness of the pipe wall leads to the fact that the influence of the thermal conductivity of the pipe material decreases; therefore, the geometry factor (the ratio between the pipe wall thickness and the insulation thickness) and the thermal conductivity of the insulating material become the determining parameters.

6. Conclusions

The article considers the main technical solutions for the construction of LNG process pipelines and their insulation systems.
The ANSYS Fluent software package simulated a section of a pipeline pumping liquefied natural gas with three types of insulation coating: PU foam, Cryogel® Z, and VIP.
Based on the results of the obtained model, a comparative analysis of temperature change in a pipeline made of AISI 321 cryogenic steel with various types of insulating coating was performed. It was found that the rate of LNG temperature increase in a pipeline with polyurethane foam insulation is greater than that of Cryogel® Z and VIP. At the same time, by increasing the thickness of the PU foam insulating coating, a similar effect of reducing heat gains can be achieved.
The UHMWPE is considered an alternative material for pipeline construction is considered. UHMWPE has a great combination of strength properties that might be used in the cryogenic industry.
The temperature of LNG increases more slowly in a UHMWPE pipe than in a similar one made from steel with an insulating coating thickness of up to 0.05 m; further, with an increase in the thickness of the insulating coating, the influence of the scale factor becomes noticeable.
Despite the rapid development of the liquefied natural gas industry, there is not enough research on the performance of liquefied gas when being moved through pipelines under pressure, which is probably due to the complexity of both theoretical and experimental studies.
In spite of the above-mentioned factors hindering the development of the LNG industry, its increasing role in the global energy mix seems to be the most promising scenario for the development of the energy sector in the near future.

Author Contributions

Conceptualization, supervision, and writing—editing I.S.; conceptualization, methodology, software, and writing—original draft preparation E.K. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Takatoshi, T.; Mitsuo, M. The coalescence mechanism of multiple slug bubbles. J. Nucl. Sci. Technol. 1999, 36, 671–682. [Google Scholar] [CrossRef]
  2. Das, R.; Pattanayak, S. Bubble to slug flow transition in vertical upward two-phase flow of cryogenic fluids. Cryogenics 1995, 35, 421–426. [Google Scholar] [CrossRef]
  3. Murphy, D.W. An experimental investigation of geysering in vertical tubes. Adv. Cryog. Eng. 1965, 10, 353–359. [Google Scholar] [CrossRef]
  4. Cheng-Feng, T.; Chung, J.N. A direct numerical simulation of axisymmetric cryogenic two-phase flows in a pipe with phase change. Comput. Fluids 2011, 48, 163–182. [Google Scholar] [CrossRef]
  5. Belousov, A.E.; Ovchinnikov, E.S. Mathematical Modeling of the Operation of an Expander-Generator Pressure Regulator in Non-Stationary Conditions of Small Gas Pressure Reduction Stations. Mathematics 2022, 10, 393. [Google Scholar] [CrossRef]
  6. Mao, H.; Li, Y.; Wang, L.; Wang, J.; Xie, F. Investiation of appearance and intensity of geyser phenomenon in a vertical cryogenic pipe. Int. J. Heat Mass Transf. 2020, 150, 119390. [Google Scholar] [CrossRef]
  7. Afrianto, H.; Riyad, T.; Munkhbayar, B.; Tony, S.U.; Hanshik, C.; Hyomin, J. A numerical investigation on LNG flow and heat transfer characteristic in heat exchanger. Int. J. Heat Mass Transf. 2014, 68, 110–118. [Google Scholar] [CrossRef]
  8. Yuan, Z.; Cui, M.; Song, R.; Xie, Y. Evaluation of prediction models for the physical parameters in natural gas liquefaction processes. J. Nat. Gas Sci. Eng. 2015, 27, 876–886. [Google Scholar] [CrossRef]
  9. Kim, T.Y.; Yoon, S.W.; Kim, J.H.; Kim, M.H. Fatigue and Fracture Behavior of Cryogenic Materials Applied to LNG Fuel Storage Tanks for Coastal Ships. Metals 2021, 11, 1899. [Google Scholar] [CrossRef]
  10. Vologzanina, S.A.; Igolkin, A.F.; Peregudov, A.A.; Baranov, I.V.; Martyushev, N.V. Effect of the deformation degree at low temperatures on the phase transformations and properties of metastable austenitic steels. Obrab. Met. 2022, 24, 73–86. (In Russian) [Google Scholar] [CrossRef]
  11. Qiu, Y.; Yang, H.; Tong, L.; Wang, L. Research Progress of Cryogenic Materials for Storage and Transportation of Liquid Hydrogen. Metals 2021, 11, 1101. [Google Scholar] [CrossRef]
  12. Bolobov, V.; Martynenko, Y.V.; Voronov, V.; Latipov, I.; Popov, G. Improvement of the Liquefied Natural Gas Vapor Utilization System Using a Gas Ejector. Inventions 2022, 7, 14. [Google Scholar] [CrossRef]
  13. Mokhatab, S.; Mak, J.; Valappil, J.; Wood, D. Handbook of Liquefied Natural Gas; Gulf Professional Publishing: Houston, TX, USA, 2014. [Google Scholar]
  14. Zhao, B.; Wang, T.; Peng, X.; Feng, J. Experimental study on performance of BOG compressor. IOP Conf. Ser. Mater. Sci. Eng. 2015, 90, 012022. [Google Scholar] [CrossRef]
  15. Didmanidze, O.N.; Afanasev, A.S.; Khakimov, R.T. Mathematical model of the liquefied methane phase transition in the cryogenic tank of a vehicle. J. Min. Inst. 2020, 243, 337–347. [Google Scholar] [CrossRef]
  16. Shin, K.; Son, S.; Moon, J.; Jo, Y.; Sang-II Kwon, J.; Hwang, S. Dynamic modeling and predictive control of boil-off gas generation during LNG loading. Comput. Chem. Eng. 2022, 160, 107698. [Google Scholar] [CrossRef]
  17. Duan, Z.; Xue, H.; Gong, X.; Tang, W. A thermal non-equilibrium model for predicting LNG boil-off in storage tanks incorporating the natural convection effect. Energy 2021, 233, 121162. [Google Scholar] [CrossRef]
  18. Litvinenko, V. The Role of Hydrocarbons in the Global Energy Agenda: The Focus on Liquefied Natural Gas. Resources 2020, 9, 59. [Google Scholar] [CrossRef]
  19. Dvoynikov, M.; Buslaev, G.; Kunshin, A.; Sidorov, D.; Kraslawski, A.; Budovskaya, M. New Concepts of Hydrogen Production and Storage in Arctic Region. Resources 2021, 10, 3. [Google Scholar] [CrossRef]
  20. Litvinenko, V.S.; Tsvetkov, P.S.; Dvoynikov, M.V.; Buslaev, G.V. Barriers to implementation of hydrogen initiatives in the context of global energy sustainable development. J. Min. Inst. 2020, 244, 428–438. [Google Scholar] [CrossRef]
  21. Belyakov, V.P. Cryogenic Pipeline. Patent No. SU595576A2, 6 July 1976. [Google Scholar]
  22. Demidov, O.K. Cryogenic Pipeline. Patent No. SU637588A2, 25 July 1977. [Google Scholar]
  23. Mukhin, V.M. Cryogenic Pipeline. Patent No. SU823737 A2, 17 July 1979. [Google Scholar]
  24. Grachev, J.V.; Krjakovkin, V.P.; Kutylovskij, A.I. Cryogenic Pipeline. Patent No. RU2239746C2, 21 October 2002. [Google Scholar]
  25. FW STEEL-CASED PIPE-IN-PIPE Systems for LNG-Powered Ships. FW-FERNWÄRME-TECHNIK GmbH. Available online: http://www.fw-gmbh.de/en/schedule-press/brochures/ (accessed on 24 October 2021).
  26. Gujarat Buried Cryopipe. ITP Interpipe. Available online: https://www.itp-interpipe.com/dwmpip-lpg-terminal-in-haldia-2-2-2-2/ (accessed on 26 September 2021).
  27. LNG Vacuum Insulated Pipe Solutions, Chart Inc. Available online: https://files.chartindustries.com/20881221_LNG_VIP_Solutions_Catalog_Final_lr.pdf (accessed on 19 September 2022).
  28. Jean-Pascal, B.; Philippe, E. Flexible Pipeline for Conveying a Cryogenic Fluid and Associated Production Method. Patent No. US2013105026 A1, 31 January 2011. [Google Scholar]
  29. Philippe, E. Flexible Pipe for Transporting a Cryogenic Fluid, and Associated Equipment and Method. Patent No. US2015276118 A1, 31 October 2013. [Google Scholar]
  30. Eide, J.; Bernson, M.; Haakonsen, R.; Frohne, C. Challenges and Solutions in the Development of a Flexible Cryogenic Pipe for Offshore LNG Transfer; OTC Brasil: Rio de Janeiro, Brazil, 2011. [Google Scholar] [CrossRef]
  31. Tcvetkov, P.S.; Fedoseev, S.V. Analysis of project organization specifics in small-scale LNG production. J. Min. Inst. 2020, 246, 678–686. [Google Scholar] [CrossRef]
  32. Pedraza, J.M. Chapter 3—Current Status and Perspective in the Use of Natural Gas for Electricity Generation in the North America Region. In Conventional Energy in North America; Elsevier: Amsterdam, The Netherlands, 2019; pp. 155–209. [Google Scholar] [CrossRef]
  33. Tcvetkov, P. Small-scale LNG projects: Theoretical framework for interaction between stakeholders. Energy Rep. 2022, 8, 928–933. [Google Scholar] [CrossRef]
  34. Sanchez, J.; Galao, O.; Torres, J.; Fullea, J.; Andrade, C.; Garcia, J.C.; Ruesga, J.; Cano, P. 40 years old LNG stainless steel pipeline: Characterization and mechanical behaviour. Eng. Fail. Anal. 2017, 79, 876–888. [Google Scholar] [CrossRef]
  35. Rachevsky, B.S. Liquefied Hydrocarbon Gases; Neft and Gas: Moscow, Russia, 2009; p. 640. (In Russian) [Google Scholar]
  36. Bahadori, A. Thermal Insulation Handbook for the Oil, Gas, and Petrochemical Industries, 1st ed.; Gulf Professional Publishing: Oxford, UK, 2014; p. 416. [Google Scholar]
  37. SP 61.13330.2012; Designing of Thermal Insulation of Equipment and Pipe Lines. Minregion Rossii: Moscow, Russia, 2011; p. 51, (In Russian). Available online: https://docs.cntd.ru/document/1200091050 (accessed on 19 September 2022).
  38. Allen, D.; Steve, O. Insulation & Liquefied Natural Gas in Production and Storage. Insulation Outlook Magazine. Available online: https://insulation.org/io/articles/insulation-liquefied-natural-gas-in-production-and-storage/ (accessed on 26 September 2021).
  39. D’Angelo, L.; Afzal, H.; Martha, V.; Clifford, P.; Jeff, Z. Technology qualification of an ambient pressure subsea cryogenic pipeline for offshore LNG loading and receiving terminals. In Proceedings of the Rio Pipeline Conference and Exposition 2009, Rio de Janeiro, Brazil, 22–24 September 2011. [Google Scholar]
  40. Lye, L.C.; Adam, N.M.; Ahmad, K.A. Cryogenic Pipe Flow Simulation for Liquid Nitrogen. J. Mech. Eng. 2017, 2, 179–198. [Google Scholar]
  41. Lye, L.C.; Adam, N.M.; Ahmad, K.A. Cryogenic pipe flow simulation for liquid nitrogen with vacuum insulated pipe (VIP) and Polyurethane (PU) foam insulation under steady-state conditions. Therm. Sci. Eng. Prog. 2018, 7, 302–310. [Google Scholar] [CrossRef]
  42. Zorin, V.M. Industrial Heat Power Engineering and Heat Engineering; Energoatomizdat: Moscow, Russia, 2015; p. 552. (In Russian) [Google Scholar]
  43. Johnson, W.L.; Frank, D.J.; Nast, T.C.; Fesmire, J.E. Thermal Performance Testing of Cryogenic Multilayer Insulation with Silk Net Spacers. IOP Conf. Ser. Mater. Sci. Eng. 2015, 101, 012018. [Google Scholar] [CrossRef]
  44. GOST R 57431-2917 (ISO 16903:2015); Petroleum and Natural Gas Industries—Characteristics of LNG, Influencing the Design, and Material Selection. MOD, Standartinform: Moscow, Russia, 2017. Available online: https://docs.cntd.ru/document/1200144948 (accessed on 19 September 2022).
  45. Reid, R.C.; Prausnitz, J.K.M.; Poling, B.R. The Properties of Gases and Liquids, 4th ed.; McGraw-Hill: New York, NY, USA, 1987. [Google Scholar]
  46. Ding-Yu, P.; Donald, B.R. A New Two-Constant Equation of State. Ind. Eng. Chem. Fundamen. 1976, 15, 59–64. [Google Scholar] [CrossRef]
  47. Wong, H.Y. Handbook of Essential Formulae and Data on Heat Transfer for Engineers; Longman: London, UK, 1977; p. 236. [Google Scholar]
  48. Specification Sheet: Alloy 321/321H. Sandmeyer Steel Company. Available online: https://www.sandmeyersteel.com/images/Alloy321-SpecSheet.pdf (accessed on 26 July 2022).
  49. Flexible Aerogel Insulation for Sub-Ambient and Cryogenic Applications. Aspen Aerogels, Inc. Available online: https://www.aerogel.com/wp-content/uploads/2021/06/Cryogel-Z-Datasheet-English.pdf (accessed on 26 July 2022).
  50. ANSYS, Inc. Ansys Fluent Theory Guide; ANSYS, Inc.: Canonsburg, PA, USA, 2013. [Google Scholar]
  51. Chen, D.; Li, J.; Yuan, Y.; Gao, C.; Cui, Y.; Li, S.; Liu, X.; Wang, H.; Peng, C.; Wu, Z. A Review of the Polymer for Cryogenic Application: Methods, Mechanisms and Perspectives. Polymers 2021, 13, 320. [Google Scholar] [CrossRef]
  52. Sápi, Z.; Butler, R. Properties of cryogenic and low temperature composite materials—A review. Cryogenics 2020, 111, 103190. [Google Scholar] [CrossRef]
  53. Gogolinskiy, K.V.; Vinogradova, A.A.; Kopylova, T.N.; Povarov, V.G.; Vasilev, E.A.; Shchiptsova, E.K.; Rybkin, D.E.; Kolobov, D.S. Study of physicochemical properties of polyethylene gas pipelines material with a prolonged service life. Int. J. Press. Vessel. Pip. 2022, 200, 104825. [Google Scholar] [CrossRef]
  54. Liu, H.; Ji, W.X. Tribological properties of ultra-high molecular weight polyethylene at ultra-low temperature. Cryogenics 2013, 58, 1–4. [Google Scholar] [CrossRef]
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