Effect of printed circuit heat exchanger’s different designs on the performance of supercritical carbon dioxide Brayton cycle

Saeed, Muhammad; Berrouk, Abdallah S.; Siddiqui, M. Salman; Awais, Ahmad Ali

doi:10.1016/j.applthermaleng.2020.115758

Cited by 64 publications

(11 citation statements)

References 35 publications

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“…For PCHEs with continuous flow channels, it can be found that PCHEs with straight channels have the smallest heat transfer capacity and the lowest pressure drop. The heat transfer performance of PCHEs with zigzag channels is significantly better than that with straight channels at the cost of larger pressure drop (Meshram et al, 2016;Saeed et al, 2020b). PCHEs with continuous flow channels including both straight and zigzag channels have high maturity level and low manufacturing cost.…”

Section: Structure Design Criteria Of Printed Circuit Heat Exchangers...mentioning

confidence: 99%

Technical Characteristics and Development Trend of Printed Circuit Heat Exchanger Applied in Floating Liquefied Natural Gas

Xie

Zhuang

et al. 2022

Front. Energy Res.

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The printed circuit heat exchanger with high efficiency and good compactness and reliability presents potential application in the floating liquefied natural gas platform. This paper offers a review on technical characteristics and development trend of the printed circuit heat exchanger applied in floating liquefied natural gas, including the development state of printed circuit heat exchangers, the application state of printed circuit heat exchangers in floating liquefied natural gas, and the key issues for potential application of printed circuit heat exchangers in floating liquefied natural gas. Firstly, the existing research results of heat transfer and pressure drop characteristics of printed circuit heat exchangers with various flow channels are analyzed, and the correlations of the heat transfer coefficients and the pressure drop of these flow channels are summarized. Then, the application state of printed circuit heat exchangers in floating liquefied natural gas is introduced, and the functions of printed circuit heat exchangers used in the existing floating liquefied natural gas facilities are analyzed. Finally, the key issues for applying printed circuit heat exchangers in floating liquefied natural gas, including the structure design criteria, influence mechanism of sloshing conditions on performance, and methods of suppressing the adverse effects of sloshing conditions, are proposed. It is indicated that the present studies focus on the effect of single sloshing motion on the thermal–hydraulic performances of printed circuit heat exchangers, but few attention has been paid onto the coupling effects of multiple sloshing motions which conform more closely to the actual operation conditions of printed circuit heat exchangers in floating liquefied natural gas. Thus, the future work should aim at the influence mechanisms and structure optimizations in terms of thermal–hydraulic performance under multiple sloshing conditions.

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Section: Structure Design Criteria Of Printed Circuit Heat Exchangers...mentioning

confidence: 99%

Technical Characteristics and Development Trend of Printed Circuit Heat Exchanger Applied in Floating Liquefied Natural Gas

Xie

Zhuang

et al. 2022

Front. Energy Res.

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“…The mesh of the rotor and nozzle guide vane is show in Figure 6. Mesh in the boundary layer region was generated using the guidelines that can be found in previous work of the authors [30,31]. To find the optimized mesh size and node distribution, four, namely M1, M2, M3, and M4, generated details on which are listed in Table 2 and shown in Figure 6.…”

Section: Cfd Modelmentioning

confidence: 99%

Turbine Design and Optimization for a Supercritical CO2 Cycle Using a Multifaceted Approach Based on Deep Neural Network

et al. 2021

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Turbine as a key power unit is vital to the novel supercritical carbon dioxide cycle (sCO2-BC). At the same time, the turbine design and optimization process for the sCO2-BC is complicated, and its relevant investigations are still absent in the literature due to the behavior of supercritical fluid in the vicinity of the critical point. In this regard, the current study entails a multifaceted approach for designing and optimizing a radial turbine system for an 8 MW sCO2 power cycle. Initially, a base design of the turbine is calculated utilizing an in-house radial turbine design and analysis code (RTDC), where sharp variations in the properties of CO2 are implemented by coupling the code with NIST’s Refprop. Later, 600 variants of the base geometry of the turbine are constructed by changing the selected turbine design geometric parameters, i.e., shroud ratio (rs4r3), hub ratio (rs4r3), speed ratio (νs) and inlet flow angle (α3) and are investigated numerically through 3D-RANS simulations. The generated CFD data is then used to train a deep neural network (DNN). Finally, the trained DNN model is employed as a fitting function in the multi-objective genetic algorithm (MOGA) to explore the optimized design parameters for the turbine’s rotor geometry. Moreover, the off-design performance of the optimized turbine geometry is computed and reported in the current study. Results suggest that the employed multifaceted approach reduces computational time and resources significantly and is required to completely understand the effects of various turbine design parameters on its performance and sizing. It is found that sCO2-turbine performance parameters are most sensitive to the design parameter speed ratio (νs), followed by inlet flow angle (α3), and are least receptive to shroud ratio (rs4r3). The proposed turbine design methodology based on the machine learning algorithm is effective and substantially reduces the computational cost of the design and optimization phase and can be beneficial to achieve realistic and efficient design to the turbine for sCO2-BC.

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“…Along with the available Reynolds-averaged Navier-Stokes (RANS) turbulence models, there are two classifications of turbulence models that have been employed in the literature depending on how the boundary layer is considered in those models [16][17][18]. In the first category of the RANS model, the flow in the boundary layer is not computed.…”

Section: Computational Model 21 Governing Equationsmentioning

confidence: 99%

Evaluation of the Erosion Characteristics for a Marine Pump Using 3D RANS Simulations

et al. 2021

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In the present study, an erosion analysis of an industrial pump’s casing and impeller blades has been performed computationally. Effects of various critical parameters, i.e., the concentration and size of solid particles, exit pressure head, and cavitation on the erosion rate density of the casing and blade have been investigated. Commercial codes CFX, ICEM-CFD, and ANSYS Turbogrid are employed to solve the model, mesh generation for the casing, and mesh generation of the impeller, respectively. The Eulerian-Eulerian method is employed to model the pump domain’s flow to solve the two phases (water and solid particles) and the interaction between the phases. Published experimental data was utilized to validate the employed computational model. Later, a parametric study was conducted to evaluate the effects of the parameters mentioned above on the erosion characteristics of the pump’s casing and impeller’s blade. The results show that the concentration of the solid particles significantly affects the pump’s erosion characteristics, followed by the particle size and distribution of the particle size. On the other hand, the exit pressure head and cavitation do not affect the erosion rates considerably but significantly influence the regions of high erosion rate densities.

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Effect of printed circuit heat exchanger’s different designs on the performance of supercritical carbon dioxide Brayton cycle

Cited by 64 publications

References 35 publications

Technical Characteristics and Development Trend of Printed Circuit Heat Exchanger Applied in Floating Liquefied Natural Gas

Technical Characteristics and Development Trend of Printed Circuit Heat Exchanger Applied in Floating Liquefied Natural Gas

Turbine Design and Optimization for a Supercritical CO2 Cycle Using a Multifaceted Approach Based on Deep Neural Network

Evaluation of the Erosion Characteristics for a Marine Pump Using 3D RANS Simulations

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