Converting light energy to electrical energy in photovoltaic devices relies on the photogenerated electrons and holes separated by the built-in potential in semiconductors. Photo-excited electrons in metal electrodes are usually not considered in this process. Here, we report an enhanced photovoltaic effect in the ferroelectric lanthanum-modified lead zirconate titanate (PLZT) by using low work...

Problem statement: This study presented a grid connected photovoltaic system with voltage oriented control. This system contains the problem of degradation of photovoltaic power with climatic factors and the problem of synchronization of currents to be injected to the grid. Approach: In order to optimize the photovoltaic energy generation, we developed a new maximum power point tracking algorit...

Since the 1970s, installed solar photovoltaic capacity has grown tremendously to 230 gigawatt worldwide in 2015, with a growth rate between 1975 and 2015 of 45%. This rapid growth has led to concerns regarding the energy consumption and greenhouse gas emissions of photovoltaics production. We present a review of 40 years of photovoltaics development, analysing the development of energy demand a...

We investigated the photovoltaic response of nanocomposites made of colloidal, infrared-sensitive, PbSe nanocrystals (NCs) of various sizes and conjugated polymers of either regioregular poly (3-hexylthiophene) (RR-P3HT) or poly(2-methoxy-5-(2-ethylhexoxy)-1,4-phenylene vinylene) (MEH-PPV). The conduction and valence energy levels of PbSe NCs were determined by cyclic voltammetry and revealed t...

The bulk photovoltaic effect is a long-known but poorly understood phenomenon. Recently, however, the multiferroic bismuth ferrite has been observed to produce strong photovoltaic response to visible light, suggesting that the effect has been underexploited. Here we present three polar oxides in the LiNbO3 structure that we predict to have band gaps in the 1–2 eV range and very high bulk photov...

In this paper, an arti…cial neural network based-model (ANNBM) is introduced for partial shading detection losses in photovoltaic (PV) panel. A Multilayer Perceptron (MLP) is used to estimate the electrical outputs (current and voltage) of the photovoltaic module using the external meteorological data : solar irradiation G (W/m2) and the module temperature T (μrC). Firstly, a database of the BP...

Organic photovoltaic devices are interesting alternatives to conventional silicon based photovoltaic cells, due to potentially lower material costs and energy consumption during the fabrication process. However, the energy conversion efficiency of organic photovoltaic cells may still be improved. One possible approach is a combination with metallic nanostructures to improve light absorption pro...

Artificial Intelligence (AI) techniques are increasingly used in various area due to their capability of handling complex systems specificities. Among the techniques of AI, Artificial Neural Networks (ANN) technique plays an important role. This technique is used in this work to perform important tasks encountered in Photovoltaic systems and in Wind Energy Systems: a) Maximum Power Point Tracki...

A circuit based model of photovoltaic array (PV) suitable for simulation studies of solar power systems is proposed in this paper. The proposed model is realised using Power System Block Set under MATLAB/SIMULINK, however, it can be constructed using standard simulation software such as PSPICE. The proposed circuit model has several advantages: simple, reliable, allows simulation of basic cells...

In this paper grid connected boost photovoltaic micro inverter system using maximum power point tracking is presented. First the photovoltaic module is analyzed using SIMULINK software. The main aim of the Paper is the boost converter is to be used along with a Maximum Power Point Tracking control mechanism. The MPPT is responsible for extracting the maximum possible power from the photovoltaic...