Fluid-solid drag models selection for simulating wheat straw particle movement in anaerobic digester

Yang Yang, Hongguang Zhu

Abstract


Computational fluid dynamics (CFD) has been utilized to simulate the movements of wheat straw particles for agitator speed selection in full-scale wet digestion. Previous research has found that the current drag model generally used for depicting the motion of spherical particles cannot match the movement behavior of wheat straw particles with their non-spherical shape. In this study, the sedimentation experiment and horizontal flow experiment of straw particles were determined using a V20-3D camera and a micro Particle Image Velocimetry (PIV) system. With analyses of the experimental data and CFD simulation results, the prediction accuracies of the non-spherical drag models of Hölzer and Sommerfeld (HS), Kishore and Gu (KG), Haider and Levenspiel (HL), Richter and Nikrityuk (RN), and Fabio Dioguardi (FD) were evaluated by the motion of individual straw particles. The results showed that the KG model has a significant advantage over the other drag models, both simulating the particle settling velocities in a one dimensional settling experiment and simulating the predictable trajectory in a two-dimensional horizontal flow experiment. Therefore, the KG drag model was selected to simulate with CFD the wheat straw particle movement to select agitator speeds. Additionally, the realizable k-ε turbulence model was proven to be superior to the other turbulence models for simulating the continuous phase flow with CFD.
Key words: wheat straw particle, drag model, shape coefficient, image analysis, micro PIV measurement
DOI: 10.25165/j.ijabe.20231602.8003

Citation: Yang Y, Zhu H G. Fluid-solid drag models selection for simulating wheat straw particle movement in anaerobic digester. Int J Agric & Biol Eng, 2023; 16(2): 249–258.

Keywords


wheat straw particle, drag model, shape coefficient, image analysis, micro PIV measurement

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References


Huo L L, Yao Z L, Jia J X, Zhao L X, Cong H B, Meng H B, et al. Evaluation of different clean heat supply modes based on crop straws in the rural area of Northern China. Int J Agric & Biol Eng, 2020; 13(5): 209-217.

Zhang Z P, Zhang Q G, Yue J Z, Li L H, Zhang T, Liu Z B. CFD modeling and experiment of heat transfer in a tubular photo-bioreactor for photo-fermentation bio-hydrogen production. Int J Agric & Biol Eng, 2017; 10(1): 209-217.

Tong H, Zhou B Y, Liu C M, Wachemo A C, Li X J, Zuo X Y. Improving biomethane yield by strengthening acidification of maize stover in two-phase anaerobic digestion. Int J Agric & Biol Eng, 2020; 13(4): 226-231.

Chi Y, Wang Y, Li M F, Ren J, Chi Y J. Numerical simulation and experimental study on eggshell membrane separation device. Int J Agric & Biol Eng, 2019; 12(2): 173-183.

Das T, Usher S P, Batstone D J, Rees C A, Stickland A D, Eshtiaghi N. Shear and solid-liquid separation behaviour of anaerobic digested sludge across a broad range of solids concentrations. Water Research, 2022; 222:118903.

Luo J, Meng H B, Yao Z L, Wachemo A C, Yuan H R, Zhang L, et al. Anaerobic co-digestion of sodium hydroxide pretreated sugarcane leaves with pig manure and dairy manure. Int J Agric & Biol Eng, 2018; 11(4): 224-229.

Annas S, Elfering M L, Jantzen H A, Scholz J, Janoske U. Experimental analysis of mixing-processes in biogas plants. Chemical Engineering Science, 2022; 258:117767.

Neuner T, Meister M, Pillei M, Koch M, Rauch W. Numerical and experimental flow investigation using ultrasonic PIV for optimizing mechanically agitated lab-scale anaerobic digesters. Chemical Engineering Science, 2022; 264: 118-129.

Cui Y Y, Zhang H B, Li X W, Yang M J, Guan Z L. Computational and experimental investigation of laminar flow mixing system in a pitched-blade turbine stirred tank. Int J Agric & Biol Eng, 2018; 11(4): 111-117.

Leonzio G. Study of mixing systems and geometric configurations for anaerobic digesters using CFD analysis. Renewable Energy, 2018; 123: 578-589.

Wang J, Xue Q W, Guo T, Mei Z L, Long E S, Wen Q, et al. A review on CFD simulating method for biogas fermentation material fluid. Renewable and Sustainable Energy Reviews, 2018; 97: 64-73.

Zhang Y, Yu G R, Siddhu M A H, Masroor A, Ali M F, Abdeltawab A A, et al. Effect of impeller on sinking and floating behavior of suspending particle materials in stirred tank: A computational fluid dynamics and factorial design study. Advanced Powder Technology, 2017; 28(4): 1159-1169

Li L L, Wang K, Wei L L, Zhao Q L, Zhou H M, Jiang J Q. CFD simulation and performance evaluation of gas mixing during high solids anaerobic digestion of food waste. Biochemical Engineering Journal, 2022; 178: 108279. doi.org/10.1016/j.bej.2021.108279.

Li J, Suvarna M, Li L Y, Pan L J, Pérez-Ramírez J, Ok S Y, Wang X N. A review of computational modeling techniques for wet waste valorization: Research trends and future perspectives. Journal of Cleaner Production, 2022; 367: 133025.

Yu L, Ma J W, Frear C, Zhao Q B, Dillon R, Li X J, Chen S L. Multiphase modeling of settling and suspension in anaerobic digester. Applied Energy, 2013; 111: 28-39.

Trad Z, Vial C, Fontaine J P, Larroche C. Mixing and liquid-to-gas mass transfer under digester operating conditions. Chemical Engineering Science, 2017; 170: 606-627

Das T, Usher S P, Batstone D J, Rees A C, Stickland D A. Nicky Eshtiaghi. Shear and solid-liquid separation behaviour of anaerobic digested sludge across a broad range of solids concentrations. Water Research, 2022; 222:118903.

Yang Y, Zhu H G. Clustering and modelling of rheological parameters for anaerobic digestion materials (ADMs) and its application for feed pump selection. IOP Conference Series: Earth and Environmental Science, 2020; 467: 012053. doi: 10.1088/1755-1315/467/1/012053.

Guo H G, Li Q, Wang L L, Chen Q L, Hu H W, Cheng D J, et al. Semi-solid state promotes the methane production during anaerobic co-digestion of chicken manure with corn straw comparison to wet and high-solid state. Journal of Environmental Management, 2022; 316: 115264.

Naegele H, Mönch-Tegeder M, Haag N L, Oechsner H. Effect of substrate pretreatment on particle size distribution in a full-scale research biogas plant. Bioresource Technology, 2014; 172: 396-402.

Rezavand M, Winkler D, Sapp J, Seiler L, Meister M, Rauch W. A fully Lagrange computational model for the integration of mixing and biochemical reactions in anaerobic digestion. Computers & Fluids, 2019; 181: 224-235.

Sheikh A H, Savari C, Barigou M. A data-driven stochastic model for velocity field and phase distribution in stirred particle-liquid suspensions. Powder Technology, 2022; 411: 117940. doi: 10.1016/j.powtec. 2022.117940.

Danican A, Darrehmane A, Chateau T, Trad Z, Fontaine J P, Vial C. Development of a multiparticle optical trajectography technique for hydrodynamic analysis of a stirred tank devoted to dark fermentation, Chemical Engineering Journal, 2022; 453: 139521. doi: 10.1016/j.cej.2022.139521.

Schiller L, Naumann A. A drag coefficient correlation. Zeitschrift des Vereins Deutscher Ingenieure, 1935; 77: 318-320.

Gerhardter H, Prieler R, Mayr B, Knoll M, Mühlböck M, Tomazic P, et al. Evaluation of drag models for particles and powders with non-uniform size and shape. Powder Technology, 2018; 330: 152-163.

Haider A, Levenspiel O. Drag coefficient and terminal velocity of spherical and nonspherical particles, Powder Technol, 1989; 58: 63-70.

Richter A, Nikrityuk A P. Drag forces and heat transfer coefficients for spherical, cuboidal and ellipsoidal. particles in cross flow at sub-critical Reynolds numbers. International Journal of Heat and Mass Transfer, 2012; 55: 1343-1354.

Kishore N, Gu S. Momentum and heat transfer phenomena of spheroid particles at moderate Reynolds and Prandtl numbers, Int. J. Heat Mass Transf, 2011; 54: 2595-2601.

Dioguardi F, Dellino P, Mele D. Integration of a new shape-dependent particle–fluid drag coefficient law in the multiphase Eulerian–Lagrange code MFIX-DEM. Powder Technology, 2014; 260: 68-77.

Hölzer A, Sommerfeld M. New simple correlation formula for the drag coefficient of non-spherical particles. Powder Technology, 2008; 184: 361-365.

Mema I, Mahajan V V, Fitzgerald W B, Padding T J. Effect of lift force and hydrodynamic torque on fluidisation of non-spherical particles. Chemical Engineering Science, 2019; 195: 642-656.

Nikku M, Jalali P, Ritvanen J, Hyppänen T. Characterization method of average gas–solid drag for regular and irregular particle groups. Powder Technology, 2014; 253: 284-294.

Carranza F, Zhang Y. Study of drag and orientation of regular particles using stereo vision, Schlieren photography and digital image processing, Powder Technol, 2017; 311: 185-199.

Hu Y Y, W J, Poncin S, Cao Z P, Li Z H, Li Z H. Flow field investigation of high solid anaerobic digestion by Particle Image Velocimetry (PIV). Science of the Total Environment, 2018; 626: 592-602.

Dapelo D, Alberini F, Bridgeman J. Euler-Lagrange CFD modelling of unconfined gas mixing in anaerobic digestion. Water Research, 2015; 85: 497-511.




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