scholarly journals Deep Learning Based on Wireless Remote Sensing Model for Monitoring the Solar System Inverter

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Xiaoyan Wang ◽  
Gaokui Xu

Traditional energy sources have become one of the most serious causes of environmental pollution because of the growing demand for energy. Because of the carbon emissions that have recently increased greatly, we had to search for a safe, cheap, and environmentally friendly energy source. Many photovoltaic (PV) solar panels are used as an energy source because of free and environmental friendliness. However, this technology has become a source of inspiration for many researchers. The proposed method suggests to extract useful features from PV and wind generators and then train the system to control them and update the inputs according to prediction results. Solar energy produces energy that varies according to the external influences and the immediate changes in weather conditions. Solar panels are connected through an inverter with the grid, through which the work of the solar panels is monitored using the Internet. It is worth using neural networks (NN) to control variables and adopt system output of previous iteration in processing operations. Use of deep learning (DL) in the control of solar energy panels helps reduce the direct surveillance of the system online. Solar power generation systems mainly depend on reducing the pollution resulting from carbon emissions. Saving CO2 emission is the main purpose of PV panel cells, so smart monitoring can achieve better result in that case.

2021 ◽  
Vol 3 (4) ◽  
pp. 946-965
Author(s):  
Sourav Malakar ◽  
Saptarsi Goswami ◽  
Bhaswati Ganguli ◽  
Amlan Chakrabarti ◽  
Sugata Sen Roy ◽  
...  

Complex weather conditions—in particular clouds—leads to uncertainty in photovoltaic (PV) systems, which makes solar energy prediction very difficult. Currently, in the renewable energy domain, deep-learning-based sequence models have reported better results compared to state-of-the-art machine-learning models. There are quite a few choices of deep-learning architectures, among which Bidirectional Gated Recurrent Unit (BGRU) has apparently not been used earlier in the solar energy domain. In this paper, BGRU was used with a new augmented and bidirectional feature representation. The used BGRU network is more generalized as it can handle unequal lengths of forward and backward context. The proposed model produced 59.21%, 37.47%, and 76.80% better prediction accuracy compared to traditional sequence-based, bidirectional models, and some of the established states-of-the-art models. The testbed considered for evaluation of the model is far more comprehensive and reliable considering the variability in the climatic zones and seasons, as compared to some of the recent studies in India.


2021 ◽  
Vol 17 (4) ◽  
Author(s):  
Eka Purwa Laksana ◽  
Yani Prabowo ◽  
Sujono Sujono ◽  
Rummi Sirait ◽  
Nifty Fath ◽  
...  

Indonesia is a tropical country located on the equator. The average intensity of solar radiation in Indonesia is 4.8 kWh/m2. This makes Indonesia a country with new and ren ewable energy potential, one of which is solar panel technology. The first step that must be done in the process of installing solar panels in a place is to analyze the potential of solar energy. In this study, an analysis of the potential of solar energy as a new renewable energy source has been carried out at Budi Luhur University, North Petukangan, South Jakarta. Based on the research results, the maximum photovoltaic efficiency that can be achieved is 21.45%. During the day, the efficiency of the solar panels increases along with the ncrease in the value of the voltage obtained. However, the higher the panel temperature, the lower the efficiency of the solar panel. Therefore, a cooling system is needed to anticipate this.


2021 ◽  
Vol 335 ◽  
pp. 02001
Author(s):  
Shun Seng Chan ◽  
Chockalingam Aravind Vaithilingam ◽  
Gowthamraj Rajendran

Solar energy is a renewable energy abundant throughout the year in a tropical weather country like Malaysia. This paper investigates the viability of using solar PV systems as a cost-saving measure to supply electricity for Taylor’s University (TU) daily energy usage. Experimental values were compared with theoretical values and analyzed in this paper. In this experiment, four photovoltaic (PV) panels connected in parallel were linked to a maximum power point tracking (MPPT) charge controller acting as a voltage regulator. A lead-acid battery was also coupled to the controller that acts as an energy storage to store the harvested solar energy from PV panels and discharge it in electricity. Temperature sensors connected to an Arduino UNO were placed at different locations on the solar panels to monitor for irregularities in the temperature of the panels. The amount of electricity produced was calculated using the data obtained. The results showed that using a larger PV system will generate much more electricity and create a high return on investment (ROI) if the solar panels absorbed sunlight under good weather conditions, thus bringing forward a potential solution to reduce TU’s electricity consumption.


This project describes the drying of grapes using a solar powered air blower and a heating module (peltier chip) .The preparation and maintenance of grapes has been considered to be a major complex issue for a long time. In order to achieve more product and higher marks and achieve customer satisfaction more attention is given to quality features. Quality factors including color, size, taste were very important as they would differ from the dehydration process. This project is used to reduce drying time by using solar energy. Solar power plants are important in the tropics, which face challenges in accessing electricity, which severely limits the refrigeration usage as storage of agricultural products is limited, and the need to make products competitive overseas. In this project, the solar energy used to dry food is described; it is thought that hot weather conditions are favorable during the summer season. A DC drive for suction fan operation is used to send atmospheric air into the system and the air temperature is increased using a peltier chip placed in the air. DC's utility system is powered by a battery charged with the help of solar panels and electricity supply. It works well that the design will be able to shorten the final product time rather than the traditional method.


2014 ◽  
Vol 680 ◽  
pp. 486-493 ◽  
Author(s):  
Vera Murgul ◽  
Nikolay Vatin ◽  
Ekaterina Aronova

The article considers the ways of solar photovoltaic installation into a number of electrical systems. The optimization of the parameters of such systems, based on the example of an independent consumer (Nehaj fortress, Montenegro), has been carried out. The configuration of systems which are based on the results of both calculations, using one energy source (solar/diesel plant) and using a combination, is proposed in the article. The capital cost of the equipment has been estimated together with the cost of maintenance and parts replacement as well as the total discounted costs over the operation of the system.


2021 ◽  
Vol 9 (209) ◽  
pp. 1-24
Author(s):  
Patricia Vianna dos Santos

The present work aims to exemplify a renewable and sustainable energy source as such the energy from sunlight to drive mobile coverage as a clean source of energy that does not cause damage to the environment, taking advantage of solar energy as a source of heat and light being one of the most propitious and reliable energies in the world. With the installation of solar panels at the roof top of houses, industries and plantations, the energy captured by the photovoltaic solar panel is sent to the load controller that powers the battery and the frequency inverter energizes the motor , allowing the activation of the cover with the objective of bringing greater comfort and satisfaction of our final client, people who want to have comfort in relation to their roofs, taking advantage of more than nature has to offer us, not only in homes but also in areas of leisure and entertainment, sheds, plantations and many other places that needs a roof, with the purpose of taking advantage of the sunlight, also saving the electric energy by making people aware of a more sustainable and renewable country. It is worth mentioning that in case of rain-sensitive plantations with the mobile cover, it will not be necessary to move to totally enclosed sheds, but in sheds using a structure such as that of the moving roof


Author(s):  
Umang Deogade

Abstract: The most significant system for monitoring solar systems is the solar parameters monitoring system. Solar energy is a renewable energy source produced by solar panels. Solar energy is a renewable energy source produced by solar panels. Voltage, light intensity, and temperature are the parameters that the system measures. An Arduino Uno microcontroller board is used in the suggested monitoring system. Solar panel, LDR Sensor, LM 35, Arduino microcontroller, and resistors are used in the system. Light. LDR sensor is used to detect light intensity, L35 is used to measure temperature, and a voltage divider circuit is used to monitor voltage in this system. Keywords: Solar Panel, Monitoring, Renewable Energy, Solar Panel, Arduino Uno.


2020 ◽  
Vol 164 ◽  
pp. 13004
Author(s):  
Artem Subbotin ◽  
Viktoriya Larina ◽  
Vasilisa Salmina ◽  
Anastasiya Arzumanyan

This article discusses the use of the sun as an energy source. The most innovative and useful applications for various branches of human activity are presented today, as well as prospects for the development of this technology. Solar panels are used all over the world, and this article offers one of the options for using solar energy. This option can solve many problems of power supply in various remote areas from civilization, providing the most inaccessible places for Central power supply with lighting and video surveillance, allowing continuous monitoring of objects, which will help ensure safety for nature and humans. Video surveillance cameras and lighting powered by solar energy are economical to use, safe for the environment, and easy to install and operate.


Author(s):  
R. Aarsen ◽  
M. Janssen ◽  
M. Ramkisoen ◽  
F. Biljecki ◽  
W. Quak ◽  
...  

In case of a calamity in the Netherlands - e.g. a dike breach - parts of the nationwide electric network can fall out. In these occasions it would be useful if decentralised energy sources of the Smart Grid would contribute to balance out the fluctuations of the energy network. Decentralised energy sources include: solar energy, wind energy, combined heat and power, and biogas. In this manner, parts of the built environment - e.g. hospitals - that are in need of a continuous power flow, could be secured of this power. When a calamity happens, information about the Smart Grid is necessary to control the crisis and to ensure a shared view on the energy networks for both the crisis managers and network operators. The current situation of publishing, storing and sharing data of solar energy has been shown a lack of reliability about the current number, physical location, and capacity of installed decentralised photovoltaic (PV) panels in the Netherlands. This study focuses on decentralised solar energy in the form of electricity via PV panels in the Netherlands and addresses this challenge by proposing a new, reliable and up-to-date database. The study reveals the requirements for a registration of the installed base of PV panels in the Netherlands. This new database should serve as a replenishment for the current national voluntary registration, called Production Installation Register of Energy Data Services Netherland (EDSN-PIR), of installed decentralised PV panel installations in the Smart Grid, and provide important information in case of a calamity.


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