Results 21 to 30 of about 132 (111)

Numerical Simulation of the Flow in a Kaplan Turbine Model during Transient Operation from the Best Efficiency Point to Part Load

open access: yesEnergies, 2020
The aim of this study is to develop a reliable numerical model that provides additional information to experimental measurements and contributes to a better exploitation of hydraulic turbines during transient operation.
Raluca G. Iovănel   +3 more
doaj   +1 more source

Formation of Rotating Vortex Rope in the Francis-99 Draft Tube

open access: yesIOP Conference Series: Earth and Environmental Science, 2019
The aim of this research is to understand the mechanism(s) of RVR formation duringthe changes in operating condition from the Best Efficiency Point (BEP) to Part Load (PL).
N Sotoudeh, R Maddahian, M J Cervantes
openaire   +1 more source

Research on the Three-dimensional Transient Characteristics of the Hydraulic System during Load Rejection with Combined Regulation of Ball Valve and Guide Vanes in the Entire Hydraulic Passage of the Pumped Storage Power Stations [PDF]

open access: yesJournal of Applied Fluid Mechanics
The complex transient flow field in the entire hydraulic system of a large pump turbine under load rejection conditions, involving the simultaneous closing of the ball valve and guide vanes, is comprehensively investigated using the Re-Normalization ...
X. Li, X. Tang, Q. Ren, Q. Liu, H. An
doaj   +1 more source

Pressure Fluctuations in the S-Shaped Region of a Reversible Pump-Turbine

open access: yesEnergies, 2017
Numerical simulations were performed to investigate pressure fluctuations in the S-shaped region of a pump-turbine model. Analyses focused on pressure fluctuations in the draft tube and in the gap between the guide vanes and runner.
Zijie Wang   +3 more
doaj   +1 more source

Connection between inlet velocity field and diffuser flow instability [PDF]

open access: yesApplied and Computational Mechanics, 2009
Simulations of the flow in a straight diffuser were carried out for different inlet velocity profiles equivalent to the real turbine operating points. Frequencies and magnitudes of pressure pulsations of the rotating vortex rope were recorded.
Rudolf P.
doaj  

Flow Field Analysis of Francis Turbine Draft Tube using POD at Design and Part Load Operating Conditions [PDF]

open access: yesJournal of Applied Fluid Mechanics
The hydraulic turbines, especially Francis turbines, frequently run at part load (PL) conditions to meet the dynamic energy needs. The flow field at the runner exit changes significantly with a change in the operating point.
S. Kumar, M. J. Cervantes, B. K. Gandhi
doaj   +1 more source

Enhancing Bulb Turbine Performance Assessing Air Injection for Vibration Mitigation and Hydrofoil Cavitation [PDF]

open access: yesJournal of Applied Fluid Mechanics
Small hydro technology is playing a crucial role in advancing sustainable, clean energy policies as part of the global hydro development strategy. Its contribution to social and economic development is becoming more prominent, particularly in ensuring ...
S. Praveen   +4 more
doaj   +1 more source

Power Swing Generated in Francis Turbines by Part Load and Overload Instabilities

open access: yesEnergies, 2017
Hydropower plays a key role in the actual energy market due to its fast response and regulation capacity. In that way, hydraulic turbines are increasingly demanded to work at off-design conditions, where complex flow patterns and cavitation appear ...
David Valentín   +5 more
doaj   +1 more source

SigmaFormer: Augmenting transformer encoders with COSMO sigma profiles for pure component property prediction

open access: yesAIChE Journal, EarlyView.
Abstract Transformer‐based molecular models pretrained on SMILES strings demonstrate strong performance in property prediction. However, these model often lack explicit integration of molecular surface charge distributions that govern intermolecular interactions such as hydrogen bonding and polarity.
Tae Hyun Kim   +2 more
wiley   +1 more source

Harnessing Machine Learning to Understand and Design Disordered Solids

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source

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