Performance Analysis of a Multijunction Photovoltaic Cell Based on Cadmium Selenide and Cadmium Telluride

2014 ◽  
Vol 875-877 ◽  
pp. 1058-1062
Author(s):  
Sartaz Tabinna Salim ◽  
Sayeda Anika Amin ◽  
K.M.A. Salam ◽  
Mir Abdulla Al Galib
Keyword(s):  
Performance Analysis ◽  
Solar Energy ◽  
Cadmium Selenide ◽  
Cadmium Telluride ◽  
Energy Absorption ◽  
Spectral Range ◽  
Single Layer ◽  
Photovoltaic Cell ◽  
Photon Absorption ◽  
Reflective Coating

A multi-junction photovoltaic cell based on group II-VI Cadmium Selenide (CdSe) and Cadmium Telluride (CdTe) with a single layer anti-reflective coating of Silicon Di Oxide (SiO2) has been introduced. In this paper we have performed a comparison of solar energy absorption of CdSe/CdTe cell with existing single and multi-junction cells. The cell has shown significant photon absorption in the spectral range of 300nm-2000nm with an efficiency of 34.6% under terrestrial AM1.5, 1 sun condition.

Efficiency Improvement of Three-Junction Photovoltaic Cell Based on Gallium-Phosphide-Oxide, Indium-Gallium-Arsenide and Indium-Gallium-Antimonide

2012 ◽  
Vol 463-464 ◽  
pp. 850-854 ◽  
Author(s):  
Mir Abdulla-Al-Galib ◽  
K. M. A. Salam ◽  
Mohammad A. Awal ◽  
Kazi Abu Sayeed
Keyword(s):  
Solar Cells ◽  
Gallium Phosphide ◽  
Gallium Antimonide ◽  
Research Work ◽  
Photovoltaic Cell ◽  
Photon Absorption ◽  
Dramatic Improvement ◽  
Reflective Coating ◽  
High Efficient ◽  
Indium Gallium

In this research paper we present a new high efficient three-junction photovoltaic cell with anti-reflective coating. The aim of our research work is to improve the photon absorption and reduce the photon reflection as well as the trasmission. The use of anti-reflective coating (ARC), Gallium-Phosphide-Oxide on the photovoltaic cell based on InGaAs/InGaSb has increased the photon absorption significantly. In this work we have analyzed the photon absorption, photon reflection and photon transmission of existing high efficient solar cells. Real Time Photonics Simulator has been used to simulate the performance of the solar cells. The simulation results show that with the inclusion of Gallium-Phosphide-Oxide on the multi-junction photovoltaic cell the photon absorption increases significantly. Our three-junction photovoltaic cell based on GaPO/In0.53Ga0.47As/In0.5Ga0.5Sb shows dramatic improvement of photon absorption in the range of 479nm – 767nm wavelength of the solar spectrum. With the addition of GaPO in place of GaP we see a tremendous increase of photon absorption, which significantly increases the efficiency of the photovoltaic cell

scholarly journals Solar Convertor Performance Analysis Fitting Load at Two Different Local Areas

2021 ◽  
pp. 1-9
Author(s):  
Rahul Sharma ◽  
Prof. Shravan Vishwakarma
Keyword(s):  
Performance Analysis ◽  
Solar Energy ◽  
Photovoltaic Cell ◽  
Energy System ◽  
Multilevel Converters ◽  
Pwm Inverter ◽  
Transient Load ◽  
Three Phase ◽  
Local Areas ◽  
Load Conditions

Multilevel converters are divided into diode clamp inverters, flying capacitor inverters and cascade inverters. The main objective of this work is to design a solar energy system to move loads away from production points and study the system to improve its reliability and efficiency. And analyze the system with the inverter field-oriented feedback control under transient load conditions to analyze the efficiency of the system in driving motor loads. The simulated work in this work demonstrates the possibility of using a photovoltaic cell to power a motor via a three-phase bridge inverter. It can be concluded that this work will contribute to the analysis of solar modules for the operation of a motor using a PWM inverter. The work also aims to perform an analysis of the solar energy system that moves loads away from the point of generation. The drive commands at the load points are analyzed during the process, taking into account the transient load conditions.

scholarly journals Tuning Bandgaps of Mixed Halide and Oxide Perovskites CsSnX3 (X=Cl, I), and SrBO3 (B=Rh, Ti)

2021 ◽  
Vol 11 (15) ◽  
pp. 6862
Author(s):  
Hongzhe Wen ◽  
Xuan Luo
Keyword(s):  
Solar Energy ◽  
Electronic Properties ◽  
Density Functional ◽  
Photovoltaic Cell ◽  
Photovoltaic Properties ◽  
Functional Theory ◽  
New Approach ◽  
Energy Applications ◽  
Valence Bands ◽  
The Ideal

Perovskites have recently attracted interest in the field of solar energy due to their excellent photovoltaic properties. We herein present a new approach to the composition of lead free perovskites via mixing of halide and oxide perovskites that share the cubic ABX3 structure. Using first-principles calculations through Density Functional Theory, we systematically investigated the atomic and electronic structures of mixed perovskite compounds composed of four cubic ABX3 perovskites. Our result shows that the B and X atoms play important roles in their band structure. On the other hand, their valence bands contributed by O-2p, Rh-4p, and Ti-3p orbitals, and their electronic properties were determined by Rh-O and Ti-O bonds. With new understandings of the electronic properties of cubic halide or oxide perovskites, we lastly combined the cubic perovskites in various configurations to improve stability and tune the bandgap to values desirable for photovoltaic cell applications. Our investigations suggest that the mixed perovskite compound Cs2Sn2Cl3I3Sr2TiRhO6 produced a bandgap of 1.2 eV, which falls into the ideal range of 1.0 to 1.7 eV, indicating high photo-conversion efficiency and showing promise towards solar energy applications.

scholarly journals Predicting the Performance of Solar Power Generation Using Deep Learning Methods

2021 ◽  
Vol 11 (15) ◽  
pp. 6887
Author(s):  
Chung-Hong Lee ◽  
Hsin-Chang Yang ◽  
Guan-Bo Ye
Keyword(s):  
Power Generation ◽  
Solar Energy ◽  
Power Output ◽  
Power Plants ◽  
Solar Power ◽  
Photovoltaic Cell ◽  
Power Prediction ◽  
Seasonal Characteristics ◽  
Variable Nature ◽  
Solar Power Plants

In recent years, many countries have provided promotion policies related to renewable energy in order to take advantage of the environmental factors of sufficient sunlight. However, the application of solar energy in the power grid also has disadvantages. The most obvious is the variability of power output, which will put pressure on the system. As more grid reserves are needed to compensate for fluctuations in power output, the variable nature of solar power may hinder further deployment. Besides, one of the main issues surrounding solar energy is the variability and unpredictability of sunlight. If it is cloudy or covered by clouds during the day, the photovoltaic cell cannot produce satisfactory electricity. How to collect relevant factors (variables) and data to make predictions so that the solar system can increase the power generation of solar power plants is an important topic that every solar supplier is constantly thinking about. The view is taken, therefore, in this work, we utilized the historical monitoring data collected by the ground-connected solar power plants to predict the power generation, using daily characteristics (24 h) to replace the usual seasonal characteristics (365 days) as the experimental basis. Further, we implemented daily numerical prediction of the whole-point power generation. The preliminary experimental evaluations demonstrate that our developed method is sensible, allowing for exploring the performance of solar power prediction.

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