Investigation of a Novel Hydrogen Depressurization Structure Constituted by an Orifice Plate with Tesla-Type Channels
Abstract
:1. Introduction
2. Numerical Methods
2.1. Governing Equations
2.2. Turbulence Model
2.3. PR EoS
2.4. Verification of the Numerical Methods
2.5. Computational Domain and Boundary Conditions
3. Results and Discussion
3.1. Distribution of Pressure and Density
3.2. Analysis of Mach Number and Turbulence Intensity
4. Optimization of Tesla-Type Orifice Structure
4.1. Optimization Methods
4.2. Flow Field Analysis of the Two-Stage Tesla-Type Orifice Structure
5. Conclusions
- (1)
- In contrast to the conventional orifice structure, the Tesla-type orifice structure has a better performance on pressure reduction. Modifications introduced to the Tesla channel can further improve the pressure reduction performance. Under an inlet mass flow rate of 0.02 kg s−1, the pressure reduction can be increased by 237% compared to the conventional orifice structure;
- (2)
- To further improve the pressure reduction performance, a second set of Tesla-type channels can be introduced to form a two-stage Tesla-type orifice structure. Additionally, the angle β between the bent channel and the main channel increased by more than 130° and L3 reduced to 8.6 mm in the two-stage Tesla-type orifice structure;
- (3)
- Under the same mass flow rate, the maximum Mach number in the Tesla-type orifice structure is greater than that in the conventional orifice plate structure before the occurrence of supersonic flow. A lower Mach number can alleviate the start-up noise of fluid flow and save energy. When the supersonic flow is formed, the Tesla-type orifice structure shows a similar or smaller maximum Mach number. The two-stage Tesla-type orifice structure can effectively reduce the maximum Mach number with the same pressure reduction;
- (4)
- Due to the asymmetry of the Tesla-type orifice structure, hydrogen flows towards the lower wall when entering the outlet section, producing a wall-fitting effect on the lower wall surface. The vortex can lead to mechanical energy consumption because it generally aggravates the turbulence of the hydrogen flow. A large vortex is formed in the upper area of the outlet chamber with a low turbulence intensity. In contrast to the traditional orifice plate structure, the Tesla-type orifice structure shows less vortices in the high turbulence intensity region, reducing energy consumption.
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Conflicts of Interest
Nomenclature
C2C1ε | Constants |
E | Total energy per unit control body |
g | Gravitational acceleration |
Gk | Generation of turbulence kinetic energy due to the mean velocity gradients |
Gb | Generation of turbulence kinetic energy due to buoyancy |
keff | Effective thermal conductivity |
L | Side straight channel length |
L1 | Inlet length |
L2 | Outlet length |
p | Pressure vector |
Pc | Critical pressure |
Qm | Flow rate |
R | Universal gas constant |
t | Time |
Tc | Critical temperature |
v | Velocity vector |
v | Molar volume |
YM | Contribution of the fluctuating dilatation incompressible turbulence to the overall dissipation rate |
Greek symbols | |
α | Angle between side channel and main channel |
β | Angle between bending channel and main channel |
ρ | Gas density |
τ | Viscous stress tensor |
σk σε | Turbulent Prandtl numbers for k and ε |
ω | Eccentricity factor of the gas |
Abbreviations list | |
EoS | Equation of State |
PHP | Pulsating Heat Pipe |
2D/3D | two-dimensional/three-dimensional |
PR | Peng–Robinson |
GERG-2008 | Groupe Européen de Recherches Gazières |
HMPRV | High-level Multistage PRV |
CFD | Computational Fluid Dynamic |
PRVs | Pressure Reducing Valves |
HFCVs | Hydrogen Fuel Cell Vehicles |
References
- IEA. Global Energy & CO2 Status Report 2019; International Energy Agency: Paris, France, 2019. [Google Scholar]
- Gyamfi, B.A.; Adedoyin, F.F.; Bein, M.A.; Bekun, F.V.; Agozie, D.Q. The anthropogenic consequences of energy consumption in E7 economies: Juxtaposing roles of renewable, coal, nuclear, oil and gas energy: Evidence from panel quantile method. J Clean. Prod. 2021, 295, 126373. [Google Scholar] [CrossRef]
- Dong, X.; Wu, J.; Xu, Z.; Liu, K.; Guan, X. Optimal coordination of hydrogen-based integrated energy systems with combination of hydrogen and water storage. Appl. Energy 2021, 308, 118274. [Google Scholar] [CrossRef]
- Wilberforce, T.; Alaswad, A.; Palumbo, A.; Dassisti, M.; Olabi, A.G. Advances in stationary and portable fuel cell applications. Int. J. Hydrog. Energy 2016, 41, 16509–16522. [Google Scholar] [CrossRef] [Green Version]
- Pearson, R.J.; Turner, J.W.G. Renewable Fuels. In Comprehensive Renewable Energy; Elsevier: Amsterdam, The Netherlands, 2012; pp. 305–342. [Google Scholar]
- Lin, Z.; Ou, S.; Elgowainy, A.; Reddi, K.; Veenstra, M.; Verduzco, L. A method for determining the optimal delivered hydrogen pressure for fuel cell electric vehicles. Appl. Energy 2018, 216, 183–194. [Google Scholar] [CrossRef]
- Mori, D.; Hirose, K. Recent challenges of hydrogen storage technologies for fuel cell vehicles. Int. J. Hydrog. Energy 2009, 34, 4569–4574. [Google Scholar] [CrossRef]
- Barthélémy, H.; Weber, M.; Barbier, F. Hydrogen storage: Recent improvements and industrial perspectives. Int. J. Hydrog. Energy 2016, 42, 7254–7262. [Google Scholar] [CrossRef]
- Liang, L.; Xiaofeng, H.; Ben, D.; Xing, H. Theoretical and Experimental Research on a Pressure-Reducing Valve for a Water Hydraulic Vane Pump. J. Press. Vessel Technol. 2014, 136, 021601. [Google Scholar]
- Ulanicki, B.; Skworcow, P. Why PRVs Tends to Oscillate at Low Flows. Proc. Eng. 2014, 89, 378–385. [Google Scholar] [CrossRef] [Green Version]
- Saha, B.K.; Chattopadhyay, H.; Mandal, P.B.; Gangopadhyay, T. Dynamic simulation of a pressure regulating and shut-off valve. Comput. Fluids 2014, 101, 233–240. [Google Scholar] [CrossRef]
- Okhotnikov, I.; Noroozi, S.; Sewell, P.; Godfrey, P. Evaluation of steady flow torques and pressure losses in a rotary flow control valve by means of computational fluid dynamics. Int. J. Heat Fluid Flow 2017, 64, 89–102. [Google Scholar] [CrossRef]
- Jin, Z.-J.; Chen, F.-Q.; Qian, J.-Y.; Zhang, M.; Chen, L.-L.; Wang, F.; Fei, Y. Numerical analysis of flow and temperature characteristics in a high multi-stage pressure reducing valve for hydrogen refueling station. Int. J. Hydrog. Energy 2016, 41, 5559–5570. [Google Scholar] [CrossRef]
- Jin, Z.-J.; Wei, L.; Chen, L.-L.; Qian, J.-Y.; Zhang, M. Numerical simulation and structure improvement of double throttling in a high parameter pressure reducing valve. J. Zhejiang Univ. A 2013, 14, 137–146. [Google Scholar] [CrossRef] [Green Version]
- Hou, C.-W.; Qian, J.-Y.; Chen, F.-Q.; Jiang, W.-K.; Jin, Z.-J. Parametric analysis on throttling components of multi-stage high pressure reducing valve. Appl. Therm. Eng. 2018, 128, 1238–1248. [Google Scholar] [CrossRef]
- Chen, F.-Q.; Gao, Z.-X.; Qian, J.-Y.; Jin, Z.-J. Numerical Study on Flow Characteristics in High Multi-Stage Pressure Reducing Valve. In Proceedings of the ASME 2017 Fluids Engineering Division Summer Meeting, Waikoloa, HI, USA, 30 July–3 August 2017. [Google Scholar] [CrossRef]
- Chen, F.; Ren, X.; Hu, B.; Li, X.; Gu, C.; Jin, Z. Parametric analysis on multi-stage high pressure reducing valve for hydrogen decompression. Int. J. Hydrog. Energy 2019, 44, 31263–31274. [Google Scholar] [CrossRef]
- Chen, F.; Zhang, M.; Qian, J.; Chen, L.; Jin, Z. Pressure analysis on two-step high pressure reducing system for hydrogen fuel cell electric vehicle. Int. J. Hydrog. Energy 2017, 42, 11541–11552. [Google Scholar] [CrossRef]
- Liu, B.; Li, S. Computational Fluid Dynamics Analysis on a Perforated Plate in a High Pressure Reducing System for Hydrogen Fuel Cell Electric Vehicle Using Real Gas Equation of State. In Proceedings of the 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE), Vancouver, BC, Canada, 12–14 June 2019; pp. 1067–1071. [Google Scholar] [CrossRef]
- Tesla, N. Valvular Conduit. U.S.Patent 1329559A, 8 July 1920. [Google Scholar]
- Gamboa, A.R.; Morris, C.J.; Forster, F.K. Improvements in Fixed-Valve Micropump Performance Through Shape Optimization of Valves. J. Fluids Eng. 2004, 127, 339–346. [Google Scholar] [CrossRef]
- Zhang, S.; Winoto, S.; Low, H. Performance simulations of Tesla microfluidic valves. Int. Conf. Integr. Commer. Micro Nanosyst. 2007, 42657, 15–19. [Google Scholar]
- De Vries, S.; Florea, D.; Homburg, F.; Frijns, A. Design and operation of a Tesla-type valve for pulsating heat pipes. Int. J. Heat Mass Transf. 2017, 105, 1–11. [Google Scholar] [CrossRef] [Green Version]
- Bao, Y.; Wang, H. Numerical study on flow and heat transfer characteristics of a novel Tesla valve with improved evaluation method. Int. J. Heat Mass Transf. 2022, 187, 122540. [Google Scholar] [CrossRef]
- Monika, K.; Chakraborty, C.; Roy, S.; Sujith, R.; Datta, S.P. A numerical analysis on multi-stage Tesla valve based cold plate for cooling of pouch type Li-ion batteries. Int. J. Heat Mass Transf. 2021, 177, 121560. [Google Scholar] [CrossRef]
- Zhang, Y.; Liu, B.; She, X.; Luo, Y.; Sun, Q.; Teng, L. Numerical study on the behavior and design of a novel multistage hydrogen pressure-reducing valve. Int. J. Hydrog. Energy 2022, 47, 14646–14657. [Google Scholar] [CrossRef]
- Qian, J.; Chen, M.; Gao, Z.; Jin, Z. Mach number and energy loss analysis inside multi-stage Tesla valves for hydrogen decompression. Energy 2019, 179, 647–654. [Google Scholar] [CrossRef]
- Qian, J.-Y.; Wu, J.-Y.; Gao, Z.-X.; Wu, A.; Jin, Z.-J. Hydrogen decompression analysis by multi-stage Tesla valves for hydrogen fuel cell. Int. J. Hydrog. Energy 2019, 44, 13666–13674. [Google Scholar] [CrossRef]
- Jin, Z.; Gao, Z.; Chen, M.; Qian, J. Parametric study on Tesla valve with reverse flow for hydrogen decompression. Int. J. Hydrog. Energy 2018, 43, 8888–8896. [Google Scholar] [CrossRef]
- Rezaei, M.; Azimian, A.R.; Toghraie, D. Molecular dynamics study of an electro-kinetic fluid transport in a charged nanochannel based on the role of the stern layer. Physica A 2015, 426, 25–34. [Google Scholar] [CrossRef]
- Toghraie, D. Numerical thermal analysis of water’s boiling heat transfer based on a turbulent jet impingement on heated surface. Physica E 2016, 84, 454–465. [Google Scholar] [CrossRef]
- Li, Z.; Barnoon, P.; Toghraie, D.; Dehkordi, R.B.; Afrand, M. Mixed convection of non-Newtonian nanofluid in an H-shaped cavity with cooler and heater cylinders filled by a porous material: Two phase approach. Adv. Powder Technol. 2019, 30, 2666–2685. [Google Scholar] [CrossRef]
- Fluent, A. Ansys Fluent Theory Guide; ANSYS Inc.: Canonsburg, PA, USA, 2011. [Google Scholar]
- Liu, X.; Godbole, A.; Lu, C.; Michal, G.; Venton, P. Source strength and dispersion of CO2 releases from high-pressure pipelines: CFD model using real gas equation of state. Appl. Energy 2014, 126, 56–68. [Google Scholar] [CrossRef] [Green Version]
- Shih, T.-H.; Liou, W.W.; Shabbir, A.; Yang, Z.; Zhu, J. A new k-epsilon eddy viscosity model for high Reynolds number turbulent flows: Model development and validation. NASA STI Recon Tech. Rep. N 1994, 95, 11442. [Google Scholar]
- Peng, D.; Robinson, D.B. A new two-constant equation of state. Ind. Eng. Chem. Fundam. 1976, 15, 59–64. [Google Scholar] [CrossRef]
- Michels, A.; De Graaff, W.; Wassenaar, T.; Levelt, J.; Louwerse, P. Compressibility isotherms of hydrogen and deuterium at temperatures between-175C and + 150C (at densities up to 960 amagat). Physica 1959, 25, 25–42. [Google Scholar] [CrossRef]
- Kunz, O.; Wagner, W. The GERG-2008 Wide-Range Equation of State for Natural Gases and Other Mixtures: An Expansion of GERG-2004. J. Chem. Eng. Data 2012, 57, 3032–3091. [Google Scholar] [CrossRef]
- Liu, H.; Ma, J.; Wang, S.; Zheng, R. Research on the one-direction flow characteristic of tesla valve. Phys. Eng. 2020, 30, 120–124. (In Chinese) [Google Scholar]
- Tan, D.H.; Herman, P.K.; Janakiraman, A.; Bates, F.S.; Kumar, S.; Macosko, C.W. Influence of Laval nozzles on the air flow field in melt blowing apparatus. Chem. Eng. Sci. 2012, 80, 342–348. [Google Scholar] [CrossRef]
Computational Time | Number of Iterations | Convergence Criteria |
---|---|---|
40–80 h/case | 20 | 1 × 10−6/1 × 10−3 |
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Li, B.; Liu, Y.; Li, J.; Liu, B.; Wang, X.; Deng, G. Investigation of a Novel Hydrogen Depressurization Structure Constituted by an Orifice Plate with Tesla-Type Channels. Materials 2022, 15, 4918. https://doi.org/10.3390/ma15144918
Li B, Liu Y, Li J, Liu B, Wang X, Deng G. Investigation of a Novel Hydrogen Depressurization Structure Constituted by an Orifice Plate with Tesla-Type Channels. Materials. 2022; 15(14):4918. https://doi.org/10.3390/ma15144918
Chicago/Turabian StyleLi, Bei, Yu Liu, Jiaqing Li, Bin Liu, Xingxing Wang, and Guanyu Deng. 2022. "Investigation of a Novel Hydrogen Depressurization Structure Constituted by an Orifice Plate with Tesla-Type Channels" Materials 15, no. 14: 4918. https://doi.org/10.3390/ma15144918
APA StyleLi, B., Liu, Y., Li, J., Liu, B., Wang, X., & Deng, G. (2022). Investigation of a Novel Hydrogen Depressurization Structure Constituted by an Orifice Plate with Tesla-Type Channels. Materials, 15(14), 4918. https://doi.org/10.3390/ma15144918