Results 101 to 110 of about 15,115 (307)

Concurrently Achieving 4.6 W/M2 and 120,000 Cyclability Enabled by Extendable Swing Arms in Rotational Triboelectric Nanogenerator

Advanced Science, EarlyView.
A rotational energy harvesting device that successfully reconciles high power density with mechanical durability through a hybrid sliding‐and‐bouncing kinematic mechanism is reported. The success reported in our paper includes addressing a dilemma where enhanced electrical output comes at the cost of increased friction and wear, limiting the practical ...
Yihong Lin, Jiaming Zhou, In‐Yong Suh, Eunjong Kim, Kin Chiu Yip, Dae‐jin Kim, Jang‐Mook Jeong, Young‐Jun Kim, Jinyoung Jeon, Ju‐Hyuck Lee, Yoon‐Hwae Hwang, Sang‐Woo Kim, Dong‐Myeong Shin   +12 more
wiley   +1 more source

PV Balancer --Concept, Architectures and Realization

, 2012
This thesis presents a new concept of module-integrated converters called PV balancers for photovoltaic applications. The proposed concept enables independent maximum power point tracking (MPPT) for each panel, and dramatically decreases the requirements
Zhou, Huimin
core  

Thermoelectric Gating Organic Electrochemical Transistors Enabled by Printable Ionogels With n‐p Convertible Thermopower

Advanced Science, EarlyView.
A type of thermoelectric ionogels with convertible n‐p thermopowers are demonstrated with Seebeck coefficients ranging from ‐3.61 to +9.74 mV K−1. Thus, thermoelectric gating organic electrochemical transistor is achieved by employing ionogel as thermoelectric modules and ionic dielectrics simultaneously, paving the road to self‐powered, highly ...
Xingyu Hu, Xinwen Yan, Ling Huang, Xiaohang Zhang, Xuan Cao, Cong Zhang, Qingqing Sun, Hanyu Jia, Xuying Liu   +8 more
wiley   +1 more source

Decoupling Intrinsic Molecular Efficacy From Platform Effects: An Interpretable Machine Learning Framework for Unbiased Perovskite Passivator Discovery

Advanced Science, EarlyView.
This study establishes an interpretable machine learning framework that disentangles the intrinsic molecular efficacy of passivators from experimental platform effects—enabling unbiased, high‐throughput discovery of effective perovskite surface modifiers.
Jing Zhang, Ziyuan Li, Shan Gao, Zhen Zhu, Jing Wang, Xiangmei Duan   +5 more
wiley   +1 more source

Mathematical Model of Bridge-Linked Photovoltaic Arrays Operating Under Irregular Conditions

TecnoLógicas, 2013
This paper presents a mathematical procedure to model a photovoltaic array (N rows and M columns) in bridge-linked configuration operating under regular and irregular conditions. The proposed procedure uses the ideal single-diode model representation for
Juan D. Bastidas-Rodríguez, Carlos A. Ramos-Paja, Luz A. Trejos-Grisales   +2 more
doaj  

Control and communication for smart photovoltaic arrays

Proceedings of the 26th Pan-Hellenic Conference on Informatics, 2022
Stylianos Voutsinas, Ioannis Mandourarakis, Eftichios Koutroulis 0001, Dimitrios Karolidis, Ioannis Voyiatzis, Maria Samarakou   +5 more
openaire   +1 more source

Flexoelectricity in Photoconversion: Fundamentals, Materials, and Outlooks

Advanced Science, EarlyView.
Mechanical bending of a flexible cantilever induces a strain gradient in the photoactive material. The resulting flexoelectric field couples with photovoltaic and photoconductive effects, modulating charge generation, separation, and collection. A comparative analysis of oxide perovskites, halide perovskites, and two‐dimensional materials is presented,
Xiang Huang, Feng Li, Rongkun Zheng
wiley   +1 more source

A Novel Photovoltaic Array Outlier Cleaning Algorithm Based on Sliding Standard Deviation Mutation

, 2019
There is a large number of outliers in the operation data of photovoltaic (PV) array, which is caused by array abnormalities and faults, communication issues, sensor failure, and array shutdown during PV power plant operation. The outlier will reduce the
Qian Sun, Ning Zhou, Honglu Zhu, Hao Liu, Aoyu Hu, Zhan’ao Tan   +5 more
core   +1 more source

Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors

Advanced Science, EarlyView.
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung, Gwang Ya Kim, Sejin Kim, Hyunjong Seo, Se Gi Lee, Sang Min Won, Dongjoon Rhee, Joohoon Kang   +7 more
wiley   +1 more source

Electrical design for a 10kW photovoltaic trough concentrator system installed at the Murdoch University South Street Campus

, 2010
The Electrical design of the 10kW Photovoltaic (PV) Trough Concentrator System involves the use of equipment from the original Rockingham Campus PV system to achieve the aim of exporting power to the South West Interconnected System (SWIS) electrical ...
Edwards, Reginald
core