Results 11 to 20 of about 143,487 (265)

Anti-Overturning Fully Symmetrical Triboelectric Nanogenerator Based on an Elliptic Cylindrical Structure for All-Weather Blue Energy Harvesting

open access: yesNano-Micro Letters, 2022
Triboelectric nanogenerators (TENGs) have shown promising potential for large-scale blue energy harvesting. However, the lack of reasonable designs has largely hindered TENG from harvesting energy from both rough and tranquil seas.
Dujuan Tan   +8 more
doaj   +1 more source

Reliability modelling and analysis on MMC for VSC-HVDC by considering the press-pack IGBT and capacitors failure

open access: yesThe Journal of Engineering, 2019
Modular multi-level converter (MMC) with press-packing IGBT devices is the popular and key equipment of VSC-HVDC system, its reliability is directly related to the equipment safe operation.
Li Hui   +6 more
doaj   +1 more source

Non-destructive testing method of micro-debonding defects in composite insulation based on high power ultrasonic

open access: yesHigh Voltage, 2019
It is crucial to ensure the adhesive quality of the interface in composite insulation equipment for power grid security. Due to viscoelasticity of silicone rubber and roughness of interface, the thickness of the local air layer in the defective interface
Hanqing Wang   +5 more
doaj   +1 more source

Author Correction: Boosting output performance of sliding mode triboelectric nanogenerator by charge space-accumulation effect

open access: yesNature Communications, 2020
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Wencong He   +10 more
doaj   +1 more source

Boosting output performance of sliding mode triboelectric nanogenerator by charge space-accumulation effect

open access: yesNature Communications, 2020
Improving the output performance of sliding mode triboelectric nanogenerators is a great challenge. Herein, a space charge accumulation effect, based on alternating shielding and blank-tribo areas, is demonstrated and effectively promotes charge density ...
Wencong He   +10 more
doaj   +1 more source

Design and Optimization of Multi-Stage TMR Sensors for Power Equipment AC/DC Leakage Current Detection

open access: yesSensors, 2023
Tunnel magnetoresistance (TMR) can measure weak magnetic fields and has significant advantages for use in alternating current/direct current (AC/DC) leakage current sensors for power equipment; however, TMR current sensors are easily perturbed by ...
Xiaoxu Hu   +8 more
doaj   +1 more source

Mode for reducing wind curtailment based on battery transportation

open access: yesJournal of Modern Power Systems and Clean Energy, 2018
Renewable energy sources, such as wind and solar, face several obstacles, including curtailment, where the generated energy exceeds local demand and production must be reduced because of limited transmission capacity.
Zhanlong ZHANG   +5 more
doaj   +1 more source

Quantifying contact status and the air-breakdown model of charge-excitation triboelectric nanogenerators to maximize charge density

open access: yesNature Communications, 2020
Surface charge density is a key factor for developing high performance triboelectric nanogenerators. Herein, authors establish criteria to quantitatively evaluate the contact efficiency and air breakdown model on charge excitation triboelectric ...
Yike Liu   +8 more
doaj   +1 more source

Experimental and molecular level analysis of natural ester delaying degradation of cellulose insulation polymer

open access: yesHigh Voltage, 2022
Developing green insulation materials has become an important direction for future research. As a new environmental insulation liquid, natural ester can effectively delay cellulose insulation polymer ageing.
Jian Hao   +5 more
doaj   +1 more source

Deep Learning for Power System Security Assessment [PDF]

open access: yes2019 IEEE Milan PowerTech, 2019
Security assessment is among the most fundamental functions of power system operator. The sheer complexity of power systems exceeding a few buses, however, makes it an extremely computationally demanding task. The emergence of deep learning methods that are able to handle immense amounts of data, and infer valuable information appears as a promising ...
Arteaga, José-María Hidalgo   +3 more
openaire   +3 more sources

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