CFD aided design and analysis of a precooler with zigzag channels for supercritical <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si75.svg"><mml:mrow><mml:mrow><mml:mi mathvariant="bold-italic">C</mml:mi></mml:mrow><mml:msub><mml:mrow><mml:mi mathvariant="bold-italic">O</mml:mi></mml:mrow><mml:mn>2</mml:mn></mml:msub></mml:mrow></mml:math> power cycle

Saeed, Muhammad; Awais, Ahmad Ali; Berrouk, Abdallah S.

doi:10.1016/j.enconman.2021.114029

Cited by 62 publications

(17 citation statements)

References 42 publications

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“…Likewise, the value of the 𝑟 increase with the surge in the value of for all values of , but the increase is tinier in comparison with the boost linked with . Despite the above discussion, it is to be noted here for sCO 2 -BC that the size of the heat exchanger is much larger than its turbomachinery [4,39,40]. Therefore, the layout size of sCO 2 -BC is dominated by PCHEs and marginally affected by the size of its turbomachinery.…”

Section: Instancesmentioning

confidence: 77%

“…Apart from its higher efficiency, the sCO 2 -BC is favorable when environmental factors, such as global warming potential (GWP) and climate change, and economic factors are taken into consideration. Furthermore, (sCO 2 ) Brayton cycle has a simpler and compact cycle layout with no requirement of the condenser and almost ten-times smaller turbomachinery in comparison to the Rankine cycle [4]. The critical temperature (T c = 31.1 0 ) of CO 2 is nearly ambient that allows its pairing with a wide range of heat sources.…”

Section: Introductionmentioning

confidence: 99%

“…It is found that the turbine's minimum size corresponds to the design with the lowest efficiency; however, the turbine's efficiency can be improved at the cost of the increased size of the turbine's rotor. Heat exchangers are the largest components in the sCO 2 -BC [4] and take up most of its layout space; therefore, design of the turbine with higher efficiency is recommended, despite the fact that it will increase the size of the turbine, as it will not impact the overall layout size of the sCO 2 -BC.…”

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confidence: 99%

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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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Section: Instancesmentioning

confidence: 77%

Section: Introductionmentioning

confidence: 99%

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confidence: 99%

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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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“…Various models like Langmuir, Freundlich, Elovich, Temkin, Fowler-Guggenheim, and Kiselev have been reported to be used. [162][163][164] RPB has also been reported to be highly effective for the polymerization of monomers to polymers, like isobutylene to highly reactive polyisobutylene. This process is known as cationic polymerization.…”

Section: Rpb Technology For the Other Applicationsmentioning

confidence: 99%

Numerical modelling of rotating packed beds used for CO₂ capture processes: A review

et al. 2023

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Over the last decades, renewable and clean energy sources are being rigorously adopted along with carbon capture technologies to tackle the increasing carbon dioxide (CO2) concentration level in the environment. CO2 capture is a quintessential option for tackling global warming issues. In this context, the present paper has reviewed the process intensification equipment called a rotating packed bed (RPB), which is highly industry applicable due to high gravity (HiGee) force. This facilitates strong mass transfer characteristics, a compact design, and low energy consumption. In this review, the current research scenario of RPBs using numerical, computational fluid dynamics (CFD), and mathematical modelling, along with different machine learning approaches in the CO2 capture process, has been reviewed. The different geometry designs, hydrodynamic characteristics, performance parameters, research methods, and their effects on CO2 removal efficiency have been discussed. Furthermore, the latest experimental studies are also summarized, especially in the absorption and adsorption domain. Finally, recommendations have been given to support the RPBs in different industrial and commercial applications of CO2 removal.

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“…Consequently, the k − turbulence model is not appropriate for flows with the boundary layer separation, flows with sudden changes in the mean streamflow, flows in revolving fluids, and flows over curved surfaces. On the other hand, the shear stress turbulence (SST) model combines two models [19][20][21][22][23][24][25], i.e., k − ω and k − turbulence models according to the distance from the wall. Wilcox k − ω is utilized to resolve the flow in the vicinity of the walls for accurate prognostication of the boundary layer, whereas the k − turbulence model is solving the flow in fully developed regions to gain advantage from its robustness, economy, and free stream independence [13,19].…”

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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CFD aided design and analysis of a precooler with zigzag channels for supercritical CO2 power cycle

Cited by 62 publications

References 42 publications

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

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

Numerical modelling of rotating packed beds used for CO₂ capture processes: A review

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

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CFD aided design and analysis of a precooler with zigzag channels for supercritical CO2 power cycle

Cited by 62 publications

References 42 publications

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

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

Numerical modelling of rotating packed beds used for CO2 capture processes: A review

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

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Numerical modelling of rotating packed beds used for CO₂ capture processes: A review