Results 61 to 70 of about 418 (177)
ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.A physics‐informed machine learning approach successfully decodes the complex catalytic activity of high‐entropy alloys for ammonia oxidation. By revealing a synergistic mechanism involving lattice and electronic couplings, the study identifies a superior “isolated‐surrounded” platinum motif.
Shangfeng Jiang +5 more
wiley +1 more source
Hydroacoustic Modeling of a Cavitation Vortex Rope for a Francis Turbine
, 2015 Hydraulic machines subject to off-design operation involve the presence of cavitating flow regimes in the draft tube. The cavitation vortex rope at part load conditions is described as an excitation source for the hydraulic system, and interactions between this excitation source and system eigenfrequency may result in resonance phenomena and induce a ...
openaire +1 more source
Electron, EarlyView.Physics‐driven advances in optical nanobiosensors for rapid, miniaturized, and point‐of‐care diagnostics for next‐generation decentralized and personalized healthcare based on sensor intelligence. ABSTRACT Public health emergencies and the escalating burden of chronic diseases necessitate a paradigm shift from centralized laboratory testing to rapid ...
Vishal Chaudhary +5 more
wiley +1 more source
Connection between inlet velocity field and diffuser flow instability [PDF]
Applied 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
Energy Science &Engineering, EarlyView.This study integrates genetic algorithm optimization, CFD simulation, and experimental validation to identify the optimal runner geometry for a gravitational water vortex turbine. The combined approach enhances vortex stability and improves energy conversion efficiency, demonstrating strong agreement between predicted and measured performance ...
Zakaria. A. Mwakitwange, Adam Faraji
wiley +1 more source
Energy Science &Engineering, EarlyView.Workflow of the PV power estimation and ML forecasting methodology. ABSTRACT Accurate prediction of solar panel energy output is vital for managing power systems effectively and maintaining a stable electrical grid. This is especially important in regions that rely heavily on renewable sources. This research provides a direct comparison of five machine
Abdoalateef Alzhrani +4 more
wiley +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]
Journal of Applied Fluid MechanicsThe 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
Predicting EU Emissions Allowance Prices Using Macroeconomic Indicators and Hybrid AI Models
Journal of Forecasting, EarlyView.ABSTRACT Predicting carbon allowance prices has grown more crucial in relation to carbon market regulation, financial strategy, and environmental policy development. This study examines a hybrid forecasting system that combines deep learning with ensemble machine learning models to forecast the price fluctuations of EU Emissions Allowance (EUAs) within
Saptarshi Ganguly +2 more
wiley +1 more source
How Does AI Empower Corporate ESG Practices? Mechanisms Based on Information Processing Theory
International Journal of Finance &Economics, EarlyView.ABSTRACT In the context of the latest technological revolution and industrial transformation, Artificial Intelligence (AI) provides new impetus for the development of corporate ESG practices. This study, based on data from 2630 A‐share listed companies in China from 2010 to 2022, examines the impact of AI on corporate ESG performance and its mechanisms
Qin Zhu, Shanshan Jiang, Anna Min Du
wiley +1 more source
Stereoscopic TR PIV measurement and POD analysis of flow behind the turbine prototype of model size
MATEC Web of Conferences, 2018 When measuring turbine prototype flow, a number of modes with different flow rates and cavitating vortex rope settings have been measured. The turbulent flow in the draft tube of diameter 240 mm reaches the Reynolds number of 105.
Jasikova Darina +2 more
doaj +1 more source