Results 101 to 110 of about 22,409 (239)

The Role of Current Mismatch on Reverse‐Bias Stability of Monolithic Perovskite/Silicon Tandem Solar Cells

open access: yesEcoEnergy, EarlyView.
Reverse‐bias stability in monolithic perovskite/silicon tandem solar cells requires a silicon–current‐limited regime. When the perovskite current exceeds the silicon current, the reverse voltage is mainly borne by the silicon cell, reducing perovskite stress.
Xuechun Zhang   +6 more
wiley   +1 more source

Performance Analysis of Maximum Power Point Tracking Algorithms Under Varying Irradiation [PDF]

open access: yes, 2017
Photovoltaic (PV) system is one of the reliable alternative sources of energy and its contribution in energy sector is growing rapidly. The performance of PV system depends upon the solar insolation, which will be varying throughout the day, season and ...
Chatterjee, K. (Kalyan)   +2 more
core  

Comparing effectiveness of hybrid mppt algorithms under partial shading conditions [PDF]

open access: yes, 2016
© 2016 IEEE. For photovoltaic (PV) systems, a key area which can affect the amount of energy harvested is the effectiveness of the Maximum Power Point Tracking (MPPT) algorithm, which dynamically locates the operating point for maximum power output ...
Al-Soeidat, MR, Cembrano, A, Lu, DDC
core   +1 more source

Modulating Perovskite Crystallization via Multisite Bonding for Enhanced Solar Cell Performance

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This study proposes an innovative multisite bonding strategy to regulate crystallization. By employing bidentate ligands N,N‐diethyl‐1,2‐ethanediamine dihydrochloride (DED) that coordinate with uncoordinated Pb2+ and I− vacancies, while simultaneously forming hydrogen bonds with FA+ ions, this synergistic interaction prolongs the perovskite ...
Yujie Zhu   +13 more
wiley   +1 more source

Organotrifluoroborate‐Driven Phase Stabilization and Defect Suppression for Wide‐Bandgap Perovskites

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
A multifunctional additive, trifluoro(pyrrolidin‐1‐ium‐1‐ylmethyl) borate (PyMe‐BF3), leverages B‐F coordination and N‐H hydrogen bonding to passivate undercoordinated Pb2+, fill halide vacancies, and suppress phase segregation. Its preferential enrichment at the buried interface targets the defect‐rich region, enabling simultaneous wide‐bandgap ...
Suzhen Liu   +11 more
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

Improved Perturb and Observation Method Based on Support Vector Regression

open access: yesEnergies, 2019
Solar energy is the most valuable renewable energy source due to its abundant storage and is pollution-free. The output power of photovoltaic (PV) arrays will vary with external conditions, such as irradiance and temperature fluctuations.
Bicheng Tan   +3 more
doaj   +1 more source

An adaptive Neuro-Fuzzy controller for maximum power point tracking of photovoltaic systems [PDF]

open access: yes, 2015
© 2015 IEEE. This paper presents a high performance tracking method for maximum power generated by photovoltaic (PV) systems. Based on adaptive Neuro-Fuzzy inference systems (ANFIS), this method combines the learning abilities of artificial neural ...
Li, L, Mahdavi, M, Mekhilef, S, Zhu, J
core   +1 more source

Analysis of Maximum Power Point Tracking (MPPT)

open access: yesAdvances in Engineering Research, 2021
Kartika Tresya Mauriraya   +2 more
openaire   +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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