Results 131 to 140 of about 26,823 (315)

DC-PLC Modem design for PV module monitoring

, 2016
Nowadays, power line communication (PLC) is a very efficient technique in cost aspect because itis communication system using power line without extra communication cables.
Kim Jae-Eon, Park Min-Su, Ma Seong-Duc
core  

Alcohol‐Adduct Mediated Precursor Stabilization Strategies for Conformal SnO2 Layers in Highly Efficient and Stable Perovskite Solar Modules

Advanced Energy Materials, EarlyView.
An alcohol‐adduct‐mediated strategy is employed to stabilize tin isopropoxide for the formation of a homogeneous double electron transport layer (ETL) incorporating SnO2 nanoparticles (NPs). This double‐ETL exhibits improved optical and charge‐transport properties due to reduced defect density and better energy level alignment, resulting in high ...
You‐Hyun Seo, Eun Young Park, Chan Su Moon, Dong Gyu Lee, Junho Park, Fabian Rotermund, Gill Sang Han, Tae Kyung Lee, Nam Joong Jeon, Bong Joo Kang, Young Yun Kim   +10 more
wiley   +1 more source

Reliability Study of c-Si PV Module Mounted on a Concrete Slab by Thermal Cycling Using Electroluminescence Scanning: Application in Future Solar Roadways. [PDF]

Materials (Basel), 2020
Khan F, Rezgui BD, Kim JH.
europepmc   +1 more source

Método de estimativa da influência do sombreamento parcial na geração energética de sistemas solares fotovoltaicos integrados em edificações [PDF]

, 2014
Tese (doutorado) - Universidade Federal de Santa Catarina, Centro Tecnológico, Programa de Pós-graduação em Engenharia Civil, Florianópolis, 2014.Sistemas fotovoltaicos integrados a edificações inseridas em meio urbano tendem a receber sombreamentos ...
Zomer, Clarissa Debiazi
core  

Predicting PV Module Service Life

, 2013
The International PV Module Quality Assurance Task Force was created in 2011 to develop a rating system that provides comparative information about the relative durability of PV modules.
YAMAMICHI Masaaki, KURTZ Sarah, SAMPLE Tony, WOHLGEMUTH John   +3 more
core   +1 more source

Assessing Mesoscale Heterogeneities in Hard Carbon Electrodes Through Deep Learning‐Assisted FIB‐SEM Characterization, Manufacturing and Electrochemical Modeling

Advanced Energy Materials, EarlyView.
A combination of discrete and finite element method models for the current collector deformation and electrochemical performance analysis, respectively. The models are calibrated and validated with electrochemical and imaging data of hard carbon electrodes. These electrodes were manufactured with different parameters (slurry solid contents of 35 and 40
Soorya Saravanan, Imelda Cardenas‐Sierra, Pei Sun, Hari Raj, Daniele Duranti, Mahnoor Nafees, Edoardo Rossi, Marco Sebastiani, Paul Vigneaux, Martin Petit, Maxime Moreaud, Francisco Fernandez, Alejandro A. Franco   +12 more
wiley   +1 more source

How well does Learning-by-doing Explain Cost Reductions in a Carbon-free Energy Technology? [PDF]

The incorporation of experience curves has enhanced the treatment of technological change in models used to evaluate the cost of climate and energy policies.
Gregory F. Nemet
core  

TEMPERATURE EFFECTS ON PV MODULE OPTIMAL PERFORMANCE

, 2020
This research was carried out to study the effects of Photovoltaic (PV) module temperature on its performance. The relationship between Module temperature and other parameters that determine the optimal performance were evaluated using Pearson product ...
Rotipin, K. J., Ale, T. O.
core  

Multiscale Perspectives on Perovskite Instability: From Atomistic Deformation to Device Degradation in Perovskite Solar Cells

Advanced Energy Materials, EarlyView.
Multiscale perspectives on how excess charges in soft lead halide perovskites induce operational instability in photovoltaic devices are presented. Localized carriers formed under thermodynamic non‐equilibrium states modify atomistic interactions and drive lattice distortions, accelerating device degradation.
Joo‐Hong Lee, Donghyeon Lee, Seoyoon Lee, Jin‐Wook Lee, Mansoo Choi, Min‐cheol Kim, Namyoung Ahn   +6 more
wiley   +1 more source

Photovoltaic Cell Defect Detection Based on Weakly Supervised Learning With Module-Level Annotations

IEEE Access
Recently, convolutional neural networks (CNNs) have proven successful in automating the detection of defective photovoltaic (PV) cells within PV modules.
Hyungu Kang, Jeongmin Hong, Jiwon Lee, Seokho Kang   +3 more
doaj   +1 more source