Matlab/Pspice hybrid simulation modeling of solar PV cell/module

2011 ◽  
Author(s):  
Yuncong Jiang ◽  
Jaber A. Abu Qahouq ◽  
Mohamed Orabi
Keyword(s):  
Simulation Modeling ◽  
Hybrid Simulation ◽  
Solar Pv ◽  
Pv Cell ◽  
Cell Module

scholarly journals Parameters optimization of solar PV cell/module using genetic algorithm based on non-uniform mutation

2021 ◽  
pp. 100129
Author(s):  
Driss Saadaoui ◽  
Mustapha Elyaqouti ◽  
Khalid Assalaou ◽  
Driss Ben hmamou ◽  
Souad Lidaighbi
Keyword(s):  
Genetic Algorithm ◽  
Parameters Optimization ◽  
Solar Pv ◽  
Pv Cell ◽  
Cell Module

Solar PV cell materials and technologies: Analyzing the recent developments

2021 ◽  
Vol 43 ◽  
pp. 2843-2849 ◽  
Author(s):  
Bhuwan Pratap Singh ◽  
Sunil Kumar Goyal ◽  
Prakash Kumar
Keyword(s):  
Solar Pv ◽  
Pv Cell ◽  
Recent Developments

High Throughput Automated PV Cell/Module Manufacturing Plant

1986 ◽  
Author(s):  
Y. Maeda ◽  
S. Yagihashi ◽  
T. Tahara ◽  
N. Kodama ◽  
K. Katano ◽  
...  
Keyword(s):  
High Throughput ◽  
Manufacturing Plant ◽  
Pv Cell ◽  
Cell Module

scholarly journals The effectiveness of a mini photovoltaic cell by using light LED bulbs as a source of photon energy

2021 ◽  
Vol 926 (1) ◽  
pp. 012090
Author(s):  
Mustofa ◽  
Iskandar ◽  
Muchsin ◽  
S Suluh ◽  
T M Kamaludin
Keyword(s):  
Energy Source ◽  
Output Power ◽  
Electrical Energy ◽  
Photovoltaic Cell ◽  
Fresnel Lens ◽  
Test Results ◽  
Light Spectrum ◽  
Pv Cell ◽  
Fresnel Lenses ◽  
Cell Module

Abstract Muxindo’s LED bulb is one of the brands that are widely used by Indonesian people as lighting in the home. This study aims to look at the effectiveness of the light spectrum of the 10, 15 and 20 Watt LED power bulbs as an energy source to generate electrical energy in monocrystalline mini photovoltaic (PV) cell module. The light spectrum is compared with and without the Fresnel lens before being transmitted to the PV surface. The test results show that the PV output power is much better with a Fresnel lens (4.06> 1.67) mW. The efficiency of PV with lens displays slightly different figures, 3.77% at 15 Watt bulb power, while without Fresnel lenses, PV efficiency is 4.86% with a 20 Watt bulb. Need further research, for example, with Philips brand LED bulbs

scholarly journals An Effective Method for Parameter Estimation of Solar PV Cell Using Grey-Wolf Optimization Technique

2021 ◽  
Vol 6 (3) ◽  
pp. 911-931
Author(s):  
Abhishek Sharma ◽  
Abhinav Sharma ◽  
Averbukh Moshe ◽  
Nikhil Raj ◽  
Rupendra Kumar Pachauri
Keyword(s):  
Search Algorithm ◽  
Optimization Algorithms ◽  
Gravitational Search Algorithm ◽  
Parameter Extraction ◽  
Solar Pv ◽  
Grey Wolf ◽  
Grey Wolf Optimization ◽  
Swarm Optimization ◽  
Pv Cell ◽  
Gravitational Search

In the field of renewable energy, the extraction of parameters for solar photovoltaic (PV) cells is a widely studied area of research. Parameter extraction of solar PV cell is a highly non-linear complex optimization problem. In this research work, the authors have explored grey wolf optimization (GWO) algorithm to estimate the optimized value of the unknown parameters of a PV cell. The simulation results have been compared with five different pre-existing optimization algorithms: gravitational search algorithm (GSA), a hybrid of particle swarm optimization and gravitational search algorithm (PSOGSA), sine cosine (SCA), chicken swarm optimization (CSO) and cultural algorithm (CA). Furthermore, a comparison with the algorithms existing in the literature is also carried out. The comparative results comprehensively demonstrate that GWO outperforms the existing optimization algorithms in terms of root mean square error (RMSE) and the rate of convergence. Furthermore, the statistical results validate and indicate that GWO algorithm is better than other algorithms in terms of average accuracy and robustness. An extensive comparison of electrical performance parameters: maximum current, voltage, power, and fill factor (FF) has been carried out for both PV model.

Global assessment for reduction of solar photovoltaic potential due to meteorological and geomorphological limiting factors

2021 ◽  
Author(s):  
Mustajab Ali ◽  
Hyungjun Kim
Keyword(s):  
Northern Hemisphere ◽  
Clean Energy ◽  
Global Scale ◽  
Limiting Factors ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Temperature Changes ◽  
Cell Efficiency ◽  
Maximum Reduction ◽  
Pv Cell

<p>Solar Photovoltaic (PV) has the potential to fulfill a considerable amount of growing electricity demands worldwide.  In addition, being neat and clean, it can help to keep the greenhouse gases emission within safe limits. This resource needs a substantial amount of area for its sitting to supply the required amount of electricity. Such an area mainly depends on the available solar resource which is mainly the function of the local environment where PV is installed. Although some previous studies exist at the global scale, however, they have not comprehensively considered environmental (e.g., temperature, dust deposition, and snow) limiting factors that affect the actual solar PV yield. This study addresses such shortcomings and deals with all limiting factors simultaneously to provide a reliable assessment of potential PV performance at a global scale. PV cell efficiency is reduced due to an increase in resistance between cells at a temperature above a certain limit. Meanwhile, the accumulation of soil (dust) and snow on PV modules are also proven to limit the solar PV resources as it tends to block the incoming solar radiation. Lastly, the geomorphological parameter, which is an arrangement of a PV module to face the sun, is also shown to change its power output.</p><p>PV cell efficiency corrections for temperature changes, soil, and snow covers are applied using the biased corrected data from Global Soil Wetness Project 3 (GWSP3), CanSISE Observation-Based Ensemble of Northern Hemisphere Terrestrial Snow Water Equivalent, Version 2 from National Snow and Ice Data Center (nsidc), and TERRA/MODIS Aerosol Optical Thickness data available from NASA Earth Observations (NEO). The daily mean solar climatological values near the Earth’s surface for the last 14 years (2001–2014) with global coverage of 0.5º x0.5º are used in the analysis. The results have demonstrated that PV performance is affected by temperature increase, soil, snow, and varying tilt-angles. An annual maximum reduction of 5.7% in the total solar PV resource is seen in the Middle East due to the temperature changes. Likewise, a maximum loss of 6.45% in the total solar PV resource is witnessed for soil deposition for Sub-Saharan Africa. A higher reduction (~20%) is shown by snow covers for Russia and Canada in the upper Northern Hemisphere. In addition, a decline of 5–7% is observed for variation in the solar PV tilt-angles in comparison to optimum ones. As a whole, a maximum reduction of 19.45% in the total solar PV resource is found, which leads to a higher coefficient of determination (R<sup>2</sup>= 0.78) than uncorrected estimation (R<sup>2</sup>=0.67). This study will be helpful for household as well as large scale solar schemes and may contribute particularly to achieving the UN SDG No. 07 — Affordable and Clean Energy — and No. 13 — Climate Action — quantitatively.</p>

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