INVESTIGATION ON DRAG COEFFICIENT OF SUPERCIRTICAL WATER CROSS-FLOW PAST CYLINDER BIOMASS PARTICEL AT LOW REYNOLDS NUMBERS

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INVESTIGATION ON DRAG COEFFICIENT OF SUPERCIRTICAL WATER CROSS-FLOW PAST CYLINDER BIOMASS PARTICEL AT LOW REYNOLDS NUMBERS by Zhen-Qun WU, Hui JIN, Yi-Fei REN, Lie-Jin GUO State Key Laboratory of Multiphase Flow in Power Engineering, Xi an Jiaotong University, Xi an, 710049, Shaanxi, China The supercritical water (SCW) gasification of biomass technology is a promising approach for the efficient and clean conversion of wet-biomass to hydrogen-rich gas production. Many of the biomass materials are of rodlike shape and gasified in supercritical water fluidized bed (SCWFB). So the particle-fluid two-phase flow behaviors insider SCWFB are of great importance. Constrained by the extreme operating condition, numerical methods, such as the Euler-Euler method and Euler-Lagrange method, are used to study the flow behaviors inside the SCWFB. As the accuracy of these methods are depended on the drag force model and there is little investigation on that at supercritical condition, this work is focused on the drag coefficient of cylinder biomass particle with different ratio of length to diameter. The simulated results show that there is no difference for the drag coefficient of a certain particle at different condition when the Reynolds number is same. The variation tendency of the pressure and viscous drag coefficient with Re and the ratio of length to diameter is also given in this paper. Key words: cylinder biomass particle, drag coefficient, supercritical water, numerical simulation Introduction Biomass has been a major source of energy for a long history, and it is considered as a renewable and abundant energy resource [1, 2]. In recent years, the supercritical water (SCW) gasification of biomass technology has attracted extensive attention as it can avoid the energy intensive drying step and convert biomass to hydrogen-rich gas products efficiently and cleanly [3-6]. The supercritical fluidized bed (SCWFB) is a promising reactor which can solve the plugging problem resulted from the formation of char during the gasification process. For the efficient reactor design, scaling up and operating condition optimization, it is necessary to study the detail of the particle-fluid flow behaviors inside the SCWFB [7]. The computational fluid dynamics provides a convenient method without the limitation by Corresponding author. Tel: +86 29 82660876; fax: + 86 29 82669033 Email: jinhui@mail.xjtu.edu.cn

experimental method at high temperature and pressure. For the simulated study of granular flow, there are two approaches, the Euler-Euler method and Euler-Lagrange method, and the accuracy of them has a great dependence on the drag force model. In general, many of the biomass resources are of rodlike shape, especially the cylinder shape, such as the straws [8]. Besides, compressing the biomass resources into cylinder particle is a usual way of utilization. As the particle shape have a great influence on the flow field, the investigation on the SCW flow past cylinder biomass particle is significant. Now, extensive experimental and numerical studies have been done focusing on the fluid flow past a cylinder at ambient condition. Zdravkovich [9] has compiled almost all the experimental, analytical and numerical results of flow past cylinders and divided the phenomenon into five flow regimes based on the Reynolds number (Re). Batchelor [10] has derived an approximate drag expression of cylinder with the symmetry axis parallel and perpendicular to the streamwise, which is validated for slender cylinder only. Rajani et al. [11] did a numerical study of two- and three-dimensional flow past a cylinder in different laminar flow regimes. However, the study of the flow past cylinder at supercritical condition has been little so far. So in this paper, a numerical three-dimensional simulated work was conducted to study SCW flow past a finite cylinder particle for Re of 10 to 150. The effect of the ratio of length to diameter was also taken into account. Numerical formulation As the heat transfer was not taken into consideration, the transport properties were regarded as constant. A laminar incompressible flow model was used as follow: u 0 (1) u 2 ( u ) u p u t (2) When in the steady flow model, the first term of equation (2) was neglected. Where u is the velocity, is the density, p is the pressure and is the viscosity. The drag force F d and drag coefficient C d were calculated as follows: (3) F u nds pi nds= F F d dv dp s s F C C C 1 u DL 2 d d dv dp 2 Where D and L are the diameter and length of the cylinder particle, n is the unit normal vector of particle surface and i is the unit vector of streamwise. The F dv and F dp are viscous and pressure drag force, and the C dv and C dp are viscous and pressure drag force coefficient. Numerical consideration From the flow regime divisions by Zdravkovich [9], it can be seen that, for a infinite cylinder, the laminar flow regime with periodic vortex shedding is included in the (4)

investigated Re range. A fully computational domain was adopted and a quarter of it was shown in fig. 1. To avoid the boundary blockage effect, the size of the domain was chosen as 40D 20D 20D corresponded to the X, Y and Z axises, when the diameter and length both equal to D. As the length was variable in this work, the size of the flow domain would be adjusted in the direction of the direction of the length of the particle, to keep the distance from particle surface to flow domain boundary constant. The particle center was located in the center of the Y and Z direction with 10D to the left patch and the symmetry axis of cylinder particle was corresponding to the Z direction. For the velocity boundary condition, the left patch was set as inlet boundary with fixed uniform inflow velocity and the right patch was set as outlet boundary with a zero gradient. The particle surface was set as no-slip boundary and the other patches were set as slip boundary. For the pressure boundary condition, except the right patch with a fixed pressure value, the others were all set with a zero gradient. Figure 1 Schemetic diagram of quarter of the flow domain The mesh was generated by SnappyHexMesh, a mesh generation utility of OpenFOAM. As large gradient occurred near the particle surface, the mesh at this region need to be refined. Through SnappyHexMesh, the resolution of the mesh was controlled by the size of the background mesh and the refinement level of the geometry surface. In this work, the background mesh size was set as 10/D. For the mesh independence validation, a cylinder particle with the ratio of height to diameter (L/D) of 3 and three kinds of refinement level, 3, 4, 5, were used. The operating condition was 0.1MPa and 300K for Re of 30. From the simulated results shown in table. 1, it can be gotten that the refinement level of 4 was fine enough. Table 1 Results of mesh independence validation Refinement Level 3 4 5 Mesh number 874360 1567928 4258565 C d 1.917 1.915 1.915 Simulated results Numerical method validation Now, numerous researches have been done for the study of the drag coefficient of non-spherical particle. In this work, simulation about particle with different sphericity at 0.1MPa and 300K was conducted firstly and the simulated results were compared to the

published data in literature [12] as shown in fig. 2. The Re was defined as ρud/μ. The D used in the literature [12] was the equivalent volume spherical diameter, while in this paper it was the cylinder diameter. As a result, in this comparison, the Re corresponding the data in literature was transformed to that based on the cylinder diameter. From figure 2, it can be seen a good consistence between the simulated results and the published data. So the numerical method used in this work has good accuracy and reliability. Drag coefficient of cylinder particle at subcritical and supercritical condition The SCW has unique dynamical properties, which is a fluid medium different from both the liquid and gas. When the operating condition is near the critical point, as can be seen in figure 3, the properties of water change dramatically with temperature. In Tab. 2, it was displayed that the simulated drag coefficients of water flow past a cylinder particle for different Re at subcritical and supercritical condition with the ratio of height to diameter of 3. It was also made a comparison to that at ambient condition. The comparing results shows that there is little difference for the same Re at different operating conditions. Figure 2 Comparison of simulated drag coefficient to that published data Figure.3 The change of the water dynamic properties near the critical point Table 2 Drag coefficient at different conditions when L/D=3 Re 10 30 50 100 150 23MPa,633.15K 3.310 1.882 1.509 1.171 1.038 23MPa,663.15K 3.309 1.882 1.508 1.171 1.039 23MPa,873.15K 3.310 1.881 1.508 1.171 1.038 0.1Mpa,300K 3.309 1.882 1.508 1.169 1.036 For the further comparison, the viscous and pressure drag coefficients were also given in table 3. The values also show a good consistence at different operating conditions when the Re is same. As shown in equation (3) and (4), the viscous and pressure drag coefficients have a great dependence on the flow field distribution. From above, conclusions can be obtained that for the same Re, the hydrodynamics of water flow past a cylinder particle at supercritical condition is same with that at ambient condition. Table 3 Viscous and pressure drag coefficients at different condition when L/D=3 Re 10 30 50 100 150 23MPa,633.15K C dv 1.672 0.821 0.595 0.389 0.306 C dp 1.638 1.061 0.914 0.782 0.732

23MPa,663.15K C dv 1.672 0.821 0.595 0.389 0.306 C dp 1.637 1.061 0.913 0.782 0.732 23MPa,873.15K C dv 1.672 0.821 0.595 0.389 0.306 C dp 1.637 1.060 0.913 0.782 0.732 0.1MPa, 300K C dv 1.672 0.821 0.595 0.387 0.305 C dp 1.638 1.061 0.913 0.781 0.731 Drag coefficient of cylinder particle with different ratio of height to diameter The ratio of height to diameter is a main shape factor of cylinder particle, which can influence the flow characteristics greatly. In this work, five kinds of cylinder particles with different values of L/D, 1, 3, 5, 8, 10, were investigated at supercritical condition, 23MPa and 873.15K. The simulated results of drag coefficient were shown in figure 4. In figure 4 (a), it can be observed that the influence of the particle shape on drag coefficient get weaken with the increment of L/D. When the value L/D is greater than 3, the drag coefficients of different particle are close at same Re. At different Re, the particle shape also have different influence on drag coefficients. When at the low Re, the drag coefficients of different particle have big deviation, and with the increment of Re, the deviation get less. From figure 4 (a) and (b), it can be observed that, when Re is 10, the particle with larger L/D has a larger drag coefficient, and when Re is 150, the drag coefficient decrease with L/D firstly and then increases. This is because of that, with the increment of L/D, the shape character of cylinder particle approach that of infinite cylinder. From the flow regime division in [9], the flow regime of infinite cylinder is laminar flow with periodic vortex shedding. The pressure and viscous drag coefficient are also given in figure 5 for a further analysis. Figure 4 Drag coefficient of cylinder particle (a) to Re with different value of L/D; (b) to L/D at Re of 10 and 150 As can be seen in figure 5 (a) and (b), when the value of L/D is 1, the shape character has a great influence on the pressure and viscous drag coefficient, which is consistent with the total drag coefficient shown in figure 4 (a). In figure 5 (a), when the value of L/D is greater than 3, the pressure drag coefficients are close at low Re. As can be seen in figure 6, the particle with a larger value of L/D has a wake zone with more violate vortex and reaches the vortex shedding flow regime sooner. For the wake zone with vortex has a lower pressure, the particle with a larger value of L/D has a larger pressure drag coefficient when the Re is 150. For the viscous drag coefficient, from figure 5 (b), it can be seen that the value of L/D has a big influence on the viscous drag coefficient at low Re. When the value of L/D is greater than 3, the viscous drag coefficients are almost same at Re of 150. With the cooperation of

pressure and viscous drag coefficient, the total drag coefficient shows the special varied tendency with the Re and value of L/D. Figure 5 (a) The pressure drag coefficient; (b) the viscous drag coefficient Conclusions Figure 6 Flow field at the center cross plan of the cylinder at Re=100 (a) L/D=1; (b) L/D=5; (c) L/D=10; In this paper, numerical stuty was conducted to the drag coefficient of superciritical water cross-flow past the finite cylinder biomass particle at low Re. Considering the flow regime corresponding the study Re range, a laminar incompressible flow model and a full computational flow domain were used in this work. From the simulated results, it can be concluded that: 1) There is no difference for the drag coefficient, including the viscous and pressure drag coefficient, of certain cylinder particle between at ambient condition and at subcritical and supercritical condition. 2) The influence of shape character on the coefficient get weaken with the increment of the ratio of length to diameter. In the range of Re from 10 to 150, for the pressure drag coefficient, the shape character has a larger influence at high Re. On the contrary, for the viscous drag coefficient, the influence is larger at low Re. Acknowledgement This work was financially supported by the National Key R&D Program of China (Contract no. 2016YFB0600100), the National Natural Science Foundation of China (Contracts no. 51776169 and 51323011) Nomenclature C d C dp C dv drag coefficient pressure drag coefficient viscous drag coefficient D F d F dp cylinder diameter, [m] drag force, [N] pressure drag force, [N]

F dv viscous drag force, [N] i unit vector in X direction L cylinder length, [m] n unit normal vector of surface p pressure, [Pa] Re Reynolds number (=ρud/μ) S surface area, [m 2 ] u velocity, [ms -1 ] u module of velocity, [ms -1 ] Greek symbols ρ density, [kgs -3 ] μ viscosity, [m 2 s -1 ] Subscripts d p v Acronyms drag pressure viscous SCW supercritical water SCWFB supercritical water fluidized bed References [1] Zhao, X., et al., Biomass-based chemical looping technologies: the good, the bad and the future, Energy & Environmental Science, (2017), [2] Jin, H., et al., Supercritical water synthesis of nano-particle catalyst on TiO 2 and its application in supercritical water gasification of biomass, Journal of Experimental Nanoscience, (2016), pp. 1-11 [3] Cao, C., et al., High-efficiency gasification of wheat straw black liquor in supercritical water at high temperatures for hydrogen production, Energy & Fuels, 31 (2017), pp. 3970-3978 [4] Jin, H., et al., Supercritical water synthesis of bimetallic catalyst and its application in hydrogen production by furfural gasification in supercritical water, International Journal of Hydrogen Energy, 42 (2017), pp. 4943-4950 [5] Jin, H., et al., Experimental investigation on methanation reaction based on coal gasification in supercritical water, International Journal of Hydrogen Energy, 42 (2017), pp. 4636-4641 [6] Cao, W., et al., Hydrogen production from supercritical water gasification of chicken manure, International Journal of Hydrogen Energy, (2016), [7] Su, X., et al., Numerical study on biomass model compound gasification in a supercritical water fluidized bed reactor, Chemical Engineering Science, 134 (2015), pp. 737-745 [8] Nan, W., et al., Numerical analysis on the fluidization dynamics of rodlike particles, Advanced Powder Technology, 27 (2016), pp. 2265-2276 [9] Zdravkovich, M. M., Flow around circular cylinders, Journal of Fluids Engineering, 120 (2003), pp. 216 [10] Batchelor, G. K., Slender-body theory for particles of arbitrary cross-section in Stokes flow, Journal of Fluid Mechanics, 44 (2006), pp. 419-440 [11] Rajani, B. N., et al., Numerical simulation of laminar flow past a circular cylinder, Applied Mathematical Modelling, 33 (2009), pp. 1228-1247 [12] Yow, H. N., et al., Drag correlations for particles of regular shape, Advanced Powder Technology, 16 (2005), pp. 363-372