Introducing compressibility with SIMPLE algorithm

Qin, Jianhua; Pan, Huachen; Rahman, Mizanur; Tian, Xinliang; Zhu, Zefei

doi:10.1016/j.matcom.2020.09.010

Cited by 10 publications

(5 citation statements)

References 52 publications

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“…The conservation equations are solved by using iterative methods, and the linear upwind differencing scheme is employed. The SIMPLE algorithm is implemented to couple the equations for velocity and pressure governing mass and momentum conservation. , To improve solution convergence, under-relaxation is used. The solution converges to within an absolute tolerance of 10 –6 .…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Effects of Stack Structure and Heat Loss on the Stability and Efficiency of Steam-Methanol Reforming Microreactors for Hydrogen Production

Chen

Miao

2023

Ind. Eng. Chem. Res.

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The linear scale-out approximation ignores the influence of exterior heat loss and thus cannot address extinction issues. The present study is focused primarily upon the roles of stack structure and heat loss in the stability and efficiency of microreactors for hydrogen production by steam-methanol reforming. Computer simulations are performed to model the complex physicochemical processes in a variety of different heat loss situations. The effects of channel number, wall thermal conductivity, and surface-area-to-volume ratio are investigated to assess the importance of stack structure and heat loss in microreactor design. The results indicate that the total heat loss becomes increasingly significant for designing reactors with small stacks of channels. About half of heat released is lost if a global-type extinction occurs. The critical heat loss coefficient depends heavily upon the number of channels. The design with a large stack of channels more closely beneficially improves heat utilization and reduces heat loss. There is a significant linear relationship between energy efficiency and heat loss coefficient. Significant heat loss may cause extinction in edge channels while still permitting very high conversion in center channels. The wall thermal conductivity is of vital importance to ensure stability operation. Higher wall thermal conductivity provides stability benefits, but walls with very low thermal conductivity can be employed to reduce heat loss by sacrificing the thermal coupling capability.

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Section: Methodsmentioning

confidence: 99%

“…The SIMPLE algorithm is implemented to couple the equations for velocity and pressure governing mass and momentum conservation. 71,72 To improve solution convergence, under-relaxation is used. The solution converges to within an absolute tolerance of 10 −6 .…”

Section: Geometry and Meshingmentioning

confidence: 99%

Effects of Stack Structure and Heat Loss on the Stability and Efficiency of Steam-Methanol Reforming Microreactors for Hydrogen Production

Chen

Miao

2023

Ind. Eng. Chem. Res.

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show abstract

“…The governing equations were discretized on unstructured, nested, Cartesian‐like grids. The Navier‐Stokes equations were advanced in time using a Semi‐Implicit Method for Pressure Linked Equations (SIMPLE) algorithm in which an intermediate velocity is calculated by solving the momentum equations without the pressure term and then the final velocity is obtained using a pressure correction that ensures the continuity equation is satisfied (Patankar & Spalding, 1972; Qin et al., 2021; Xu et al., 2022). The convection terms in the momentum equations were discretized using a Hybrid‐Bounded central difference scheme, which couples a higher‐order upwind scheme in regions where the RANS mode is active with a bounded central difference scheme in regions where the LES mode is active.…”

Section: Test Cases Computational Approach and Model Validationmentioning

confidence: 99%

Influence of Bed Roughness on Flow and Turbulence Structure Around a Partially‐Buried, Isolated Freshwater Mussel

Lazzarin

Constantinescu

Micco

et al. 2023

Water Resources Research

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“…R1 was used, and the finite volume method was used to discretize the governing equations. The pressure field and velocity field were considered in terms of coupling and computation time, and the SIMPLE algorithm was applied [43]. The spatial discretization of momentum and energy was set to quadratic.…”

Section: Geometry and Boundary Conditionsmentioning

confidence: 99%

Cooling Strategy Optimization of Cylindrical Lithium-Ion Battery Pack via Multi-Counter Cooling Channels

Jeon,

Hong,

Yun

et al. 2023

Energies

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This study focused on the design of a battery pack cooling channel based on a Tesla Model S electric car. This study aimed to achieve a balance between cooling efficiency and pressure drop while maintaining safe and optimal operating temperatures for the batteries. A cooling channel design similar to the basic type employed in the Tesla Model S using 448 cylindrical Li-ion batteries was considered. Consequently, important parameters, such as the maximum temperature and temperature difference in the battery cells in a module, as well as the pressure drop of the coolant, were analyzed. In addition, the characteristics of the temperature changes in each cooling channel shape were investigated. The temperature limit for the battery in a module and the temperature limit difference were set to 40 °C and 5 °C, respectively, to evaluate the performance of the cooling system. Further, the effects of discharge rates (3C and 5C), cooling channel shapes (counter flow and parallel types), and coolant inlet velocities (0.1, 0.2, 0.3, and 0.4 m/s) on battery thermal management were analyzed. The results revealed that the parallel type channel yielded a lower pressure drop than the basic type channel; however, it was not as effective in removing heat from the battery. In contrast, the counter flow type channel effectively removed heat from the batteries with a higher coolant pressure drop in the channel. Therefore, a multi-counter flow type cooling channel combining the advantages of both these channels was proposed to decrease the pressure drop while maintaining appropriate operating temperatures for the battery module. The proposed cooling channel exhibited an excellent cooling performance with lower power consumption and better heat transfer characteristics. However, relatively minimal differences were confirmed for the maximum temperature and temperature difference in the battery module compared with the counter flow type. Therefore, the proposed cooling channel type can be implemented to ensure the optimal temperature operation of the battery module and to decrease system power consumption.

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Introducing compressibility with SIMPLE algorithm

Cited by 10 publications

References 52 publications

Effects of Stack Structure and Heat Loss on the Stability and Efficiency of Steam-Methanol Reforming Microreactors for Hydrogen Production

Effects of Stack Structure and Heat Loss on the Stability and Efficiency of Steam-Methanol Reforming Microreactors for Hydrogen Production

Influence of Bed Roughness on Flow and Turbulence Structure Around a Partially‐Buried, Isolated Freshwater Mussel

Cooling Strategy Optimization of Cylindrical Lithium-Ion Battery Pack via Multi-Counter Cooling Channels

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