Results 231 to 240 of about 95,397 (283)

Ground‐ and Excited‐State Mixed Valency in a 4,4′‐Bipyridine‐Bridged Bimetallic Di‐Ruthenium Complex

open access: yesEuropean Journal of Inorganic Chemistry, EarlyView.
Photoinduced mixed‐valence interactions across a 4,4′‐bpy bridge were studied. MLCT excited states in the bimetallic complex are longer‐lived than in the monometallic reference, thanks to metal–metal electronic coupling and hole delocalization, but are still shorter than the nanosecond timescale relevant for diffusional reactivity.
Ivana Ramírez‐Wierzbicki   +3 more
wiley   +1 more source

Modeling and Power Regulation Strategy of Variable‐Speed Pumped Storage Unit With Full‐Size Converter in Pump Mode

open access: yesEnergy Science &Engineering, EarlyView.
A numerical model of variable‐speed pumped storage unit (VSPSU) with full‐size converter (FSC) under fast speed control strategy is established. Additionally, the correctness of the model was validated by comparing with SIMSEN simulation results and text prototype data from NARI.
Weijia Yang   +5 more
wiley   +1 more source

Design of a Hydroelectronic Solar‐Tracking System for Solar Panels

open access: yesEnergy Science &Engineering, EarlyView.
A prototype of a passive solar‐tracking system utilizing buoyant force based on water level was developed, and its MATLAB/Simulink model was implemented. This study is expected to encourage researchers to design solar‐tracking mechanisms using metals with different thermal expansion coefficients, air, oil, and other fluids. ABSTRACT This study presents
Ufuk Süğürtin, Türker Fedai Çavuş
wiley   +1 more source

Robust Control Using a Matrix Converter to Enhance Wind Turbine Systems

open access: yesEnergy Science &Engineering, EarlyView.
This study uses a more efficient and effective solution to improve the operational performance of a wind turbine‐based power system. This system uses a doubly fed induction generator and relies on a matrix converter and fractional‐order proportional–integral controller.
Sihem Ghoudelbourk   +4 more
wiley   +1 more source

Real‐Time Data‐Driven Fault Diagnosis of Photovoltaic Arrays Using an Edge‐Server Machine‐Learning Framework

open access: yesEnergy Science &Engineering, EarlyView.
A real‐time, data‐driven framework detects and classifies photovoltaic array faults using edge sensing and server‐side machine learning. Ensemble tree models achieve near‐perfect accuracy with low latency, enabling practical, low‐cost deployment for reliable PV monitoring and intelligent maintenance.
Premkumar Manoharan   +4 more
wiley   +1 more source

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