scholarly journals New Gen Controlling Variable Using Dragonfly Algorithm in PV Panel

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 790
Author(s):  
Shabana Urooj ◽  
Fadwa Alrowais ◽  
Ramya Kuppusamy ◽  
Yuvaraja Teekaraman ◽  
Hariprasath Manoharan

In the present scenario the depletion of conventional sources causes an energy crisis. The energy crisis causes load demand with respect to electricity. The use of renewable energy sources plays a vital role in reducing the energy crisis and in reduction of CO2 emission. The use of solar energy is the major source of power in generation as this is the root cause for the development of wind, tides, etc. However, due to climatic condition the availability of PV sources varies from time to time. Hence it is essential to track the maximum source of energy by implementing different types of MPPT algorithms. However, use of MPPT algorithms has the limitation of using the same during partial shadow conditions. The issue of tracking power under partial shadow conditions can be resolved by implementing an intelligent optimization tracking algorithm which involves a computation process. Though many of nature’s inspired algorithms were present to address real world problems, Mirjalili developed the dragonfly algorithm to provide a better optimization solution to the issues faced in real-time applications. The proposed concept focuses on the implementation of the dragonfly optimization algorithm to track the maximum power from solar and involves the concept of machine learning, image processing, and data computation.

Power Extraction from renewable energy sources plays a vital role in this century due to the depletion of non renewable energy sources, socio economic factors and expensive cost .Few examples of renewable energy sources are Solar, wind, Fuel cell and hydraulic forces. Compared to other resources solar energy leads to the best option because of the availability and less design complexity. Different converters are available for extracting the maximum power from the panel. In this paper solar panel voltage is extracted with the use of MPPT algorithm along with Boost, Buck and SEPIC converters and their performance is analyzed. Based on the performance analysis boost converter with PV panel is implemented along with MPPT algorithm. Using MATLAB Simulink 2018 environment PV panel and different types of converter are modeled and its characteristics are evaluated.


2021 ◽  
Author(s):  
Wenzhang Li ◽  
Keke Wang ◽  
yanfang Ma ◽  
Yang Liu ◽  
Weixin Qiu ◽  
...  

The ever-growing factitious over-consumption of fossil fuels and the accompanying massive emissions of CO2 have caused severe energy crisis and environmental issues. Photoelectrochemical (PEC) reduction of CO2 that can combine...


2015 ◽  
Vol 787 ◽  
pp. 893-898
Author(s):  
Suneetha Racharla ◽  
K. Rajan ◽  
K.R. Senthil Kumar

Recently renewable energy sources have gained much attention as a clean energy. But the main problem occurs with the varying nature with the day and season. Aim of this paper is to conserve the energy, of the natural resources. For solar energy resource, the output induced in the photovoltaic (PV) modules depends on solar radiation and temperature of the solar cells. To maximize the efficiency of the system it is necessary to track the path of sun in order to keep the panel perpendicular to the sun. This paper proposes the design and construction of a microcontroller-based solar panel tracking system. The fuzzy controller aims at maximizing the efficiency of PV panel by focusing the sunlight to incident perpendicularly to the panel. The system consists of a PV panel which can be operated with the help of DC motor, four LED sensors placed in different positions and a fuzzy controller which takes the input from sensors and gives output speed to motor. A prototype is fabricated to test the results and compared with the simulation results. The results show the improved performance by using a tracking system


2020 ◽  
Vol 5 (2) ◽  
pp. 151
Author(s):  
Rafiqi Rajauddin Amin ◽  
Rimbi Rodiyana Sova ◽  
Dewinta Intan Laily ◽  
Dina Kartika Maharani

The rapid development of industry causes the need for fuel and energy to increase, especially fossil fuels (petroleum). This has the effect of an energy crisis. Biomass is of particular concern as one of the renewable energy sources to address the current energy crisis.  Biomass consists of hemiselulose, cellulose, and lignin that can be converted into liquids (bio-oils) of pyrolysis. One of the wastes that can be converted into bio-oil is tobacco waste. Tobacco waste is produced by more than 2 million tons eachs. The waste has the potential to be further processed into bio oil using fast pyrolysis method with efficient and quality bio-oil manufacturing measures. The bio-oil results from tobacco waste using the fast pyrolysis method have values of carbon, hydrogen, nitrogen, oxygen and other organic compounds and the H/C ratio is greater than the yield of tobacco waste bio-oil using the low pyrolysis method. Where the bio-oil of tobacco waste using the fast pyrolysis method has a high heating value equivalent to the distribution of hydrocarbons from biodiesel, which means it has the potential as an alternative energy to replace petroleum. The potential as a substitute fuel for petroleum must also be balanced with fast and efficient production, maximizing bio-oil production by selecting the reactor and the optimum temperature usedKeywords: Waste, Tobacco, Bio-Oil, Renewable Energy, Fast-pyrolisis


Energies ◽  
2021 ◽  
Vol 14 (19) ◽  
pp. 6169
Author(s):  
Ashish Kumar Singhal ◽  
Narendra Singh Beniwal ◽  
Khalid Almutairi ◽  
Joshuva Arockia Dhanraj ◽  
Ali Mostafaeipour ◽  
...  

The world is moving towards the generation of electricity with renewable energy sources (RES) due to the deterioration of the green environment and trying to replace non-renewable energy resources. The real-time results are achieved with the help of an arm controller, having good controller efficiency with the Waijung toolbox, compatible with MATLAB using STM32ST-link utility. In this paper, the authors are focused on areas such as easy to implement controller efficiency, and real-time solutions for modified direct-control perturbation & observation (DC-P&O) technique based on 32- bit ARM Cortex microcontroller (STM32F407VGT6) with embedded programming using Waijung blocksets, which offers very expected outcomes of the problem to make the stand-alone system efficient with fast-tracking. The observation setup is tested with a 40-watt photovoltaic (PV) panel with resistive load for achieving its stability. The designed algorithm enhances the efficiency of the controller by 84.48% for the real-time parameters of the PV panel at maximum power point (MPP) for a 57% duty ratio.


Author(s):  
E. J. Jelmy ◽  
Nishanth Thomas ◽  
Dhanu Treasa Mathew ◽  
Jesna Louis ◽  
Nisha T Padmanabhan ◽  
...  

The investigations on anthropogenic carbon dioxide (CO2) capture and conversion have a vital role in eradicating the global warming and energy crisis. In this context, defect- engineered two-dimensional (2D) nanomaterials...


Author(s):  
Zeyu Du ◽  
Yingnan Xue ◽  
Xiaomei Liu ◽  
Ningfang Li ◽  
Jilei Wang ◽  
...  

The photocatalytic reduction of CO2 to chemical fuels is attractive for addressing both greenhouse effect and energy crisis, but the key challenge is the design and synthesis of photocatalyst with...


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