Numerical Investigation on Aerodynamic Performance of SCO2 and Air Radial-Inflow Turbines with Different Solidity Structures

Wang, Yuqi; Li, Jinxing; Zhang, Di; Xie, Yuanyuan

doi:10.3390/app10062087

Cited by 9 publications

(5 citation statements)

References 32 publications

(35 reference statements)

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“…The decrease in temperature has the least impact on the maximum leading edge diameter. Wang et al introduced the aerodynamic performance of radial inflow turbines with S-CO2 and air as working fluid considering different solidity, and provided design references for them [83]. In view of the low solidity of the S-CO2 turbine, a new diverter structure is proposed to improve its performance.…”

Section: Flow Characteristics Of S-co2 Turbinesmentioning

confidence: 99%

A review of research on turbines for supercritical carbon dioxide power systems

Hu,

Jiang,

Zhuge

et al. 2024

J. Phys.: Conf. Ser.

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Supercritical carbon dioxide (S-CO2) Brayton cycle has been known as a potential power cycle technology because of its high efficiency, compact structure and suitability for different heat sources. As one of the key components in the cycle, the turbine has an important impact on the cycle efficiency. Compared with traditional steam and gas turbines, S-CO2 turbines have high working pressure and small size. The internal flow characteristics are significantly different. In this paper, the research progress of S-CO2 turbines in recent years is reviewed. The design and performance evaluation methods for S-CO2 turbines of different types and power levels are summarized, and research on loss correlations and optimization algorithms are introduced. The features of flow field in S-CO2 turbines are discussed. Current studies mainly evaluate the flow field and flow losses through Computational Fluid Dynamics (CFD), and some studies further analyze the influencing mechanism of turbine geometric parameters on flow characteristics. The applications of multi-physical field analysis on S-CO2 turbines are also reviewed. The construction and operation of S-CO2 test loops, and relevant turbine experimental study findings are introduced. Future research directions of S-CO2 turbines are proposed.

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Section: Flow Characteristics Of S-co2 Turbinesmentioning

confidence: 99%

A review of research on turbines for supercritical carbon dioxide power systems

Hu,

Jiang,

Zhuge

et al. 2024

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

show abstract

“…High-quality hexahedral meshes are generated for each sample automatically through ANSYS TurboGrid software, where the wall regions are densely generated to satisfied the y + recommended by the turbulence model. The gridindependence verification is conducted and passed, and the results have been published in our previous work with the same turbine model and mesh generation setup (Wang et al, 2020). The simulation cases are then fed into ANSYS CFX software for simulation by Reynolds Average Navier-Stokes (RANS) method.…”

Section: Data Preparation Processmentioning

confidence: 99%

“…The simulation cases are then fed into ANSYS CFX software for simulation by Reynolds Average Navier-Stokes (RANS) method. According to our previous research (Wang et al, 2020), SST k-ω turbulence model is chosen so that more accurate result can be acquired. To be mentioned, the mesh around the hub, shroud and blade are more densely generated to fit the turbulence model (see Fig.…”

Section: Data Preparation Processmentioning

confidence: 99%

Prediction of physical fields for supercritical carbon dioxide turbine using deep learning method

YOU

LIU

WANG

et al. 2022

Mechanical Engineering Journal

Self Cite

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Supercritical carbon dioxide (S-CO2) energy system has gained extensive attention recently, while design of its turbine is one of the most crucial tasks. In this research, we establish a data-driven model for the physical field prediction of a S-CO2 turbine. This method can be applied to real-time prediction of physical fields in design and operation process of turbine. Firstly, a brief outline is presented, including previous computation efforts of S-CO2 turbine and academic progress on applying deep learning in physical field prediction. Then, a specific S-CO2 system is defined with details of blade profile geometry and operating conditions. Generation of the training data with CFD method is also covered. Next, the structure of the proposed neural network and its training strategies are formulated. To balance the prediction accuracy and the time cost, we build our model by basic multi-layer perceptron (MLP) model, with various depths of the hidden layers. Finally, accuracy of the predictive models under different training parameters are evaluated and compared to each other. The result demonstrates that the proposed framework is capable of predicting whole physical fields of the S-CO2 turbine efficiently with overall mean square error (MSE) on test dataset as low as 3.187×10 -4 , which implies its great potential in design and maintenance of S-CO2 turbines.

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“…The programme NIST REFPROP has been cited widely throughout the literature for defining the thermodynamic and transport properties in sCO 2 turbomachinery design tools [14][15][16][17]. It provides thermophysical properties of pure and compound fluids over a broad range of states for liquids, gases and supercritical phases based on validated data and calculation methods.…”

Section: Meanline Designmentioning

confidence: 99%

Investigation of a Radial Turbine Design for a Utility-Scale Supercritical CO2 Power Cycle

2020

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This paper presents the design procedure and analysis of a radial turbine design for a mid-scale supercritical CO 2 power cycle. Firstly, thermodynamic analysis of a mid-range utility-scale cycle, similar to that proposed by NET Power, is established while lowering the turbine inlet temperature to 900 ∘ C in order to remove cooling complexities within the radial turbine passages. The cycle conditions are then considered for the design of a 100 MW t h power scale turbine by using lower and higher fidelity methods. A 510 mm diameter radial turbine, running at 21,409 rpm, capable of operating within a 5% range of the required cycle conditions, is designed and presented. Results from computational fluid dynamics simulations indicate the loss mechanisms responsible for the low-end value of the turbine total-to-total efficiency which is 69.87%. Those include shock losses at stator outlet, incidence losses at rotor inlet, and various mixing zones within the passage. Mechanical stress calculations show that the current blade design flow path of the rotor experiences tolerable stress values, however a more detailed re-visitation of disc design is necessitated to ensure an adequate safety margin for given materials. A discussion of the enabling technologies needed for the adoption of a mid-size radial turbine is given based on current advancements in seals, bearings, and materials for supercritical CO 2 cycles.

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Numerical Investigation on Aerodynamic Performance of SCO2 and Air Radial-Inflow Turbines with Different Solidity Structures

Cited by 9 publications

References 32 publications

A review of research on turbines for supercritical carbon dioxide power systems

A review of research on turbines for supercritical carbon dioxide power systems

Prediction of physical fields for supercritical carbon dioxide turbine using deep learning method

Investigation of a Radial Turbine Design for a Utility-Scale Supercritical CO2 Power Cycle

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