scholarly journals Machine Learning as an Efficient Diagnostic Tool for Fault Detection and Localization in Solar Photovoltaic Arrays

10.29007/34bz ◽  
2019 ◽  
Author(s):  
Masoud Alajmi ◽  
Sultan Aljahdali ◽  
Sultan Alsaheel ◽  
Mohammed Fattah ◽  
Mohammed Alshehri
Keyword(s):  
Machine Learning ◽  
Renewable Energy ◽  
Fault Detection ◽  
Solar Energy ◽  
Hot Spot ◽  
Low Cost ◽  
Short Circuit ◽  
Renewable Energy Sources ◽  
Open Circuit ◽  
Detection And Localization

Solar energy, one of many types of renewable energy, is considered to be an excellent alternative to non-renewable energy sources. Its popularity is increasing rapidly, especially because fuel energy consumes and depletes finite natural resources, polluting the environment, whereas solar energy is low- cost and clean. To produce a reliable supply of energy, however, solar energy must also be consistent. The energy we derive from a photovoltaic (PV) array is dependent on changeable factors such as sunlight, positioning of the array, covered area, and status of the solar cell. Every change adds potential for the creation of error in the array. Therefore, thorough research and a protocol for fast, efficient location and correction of all kinds of errors must be an urgent priority for researchers.For this project we used machine learning (ML) with voltage and current sensors to detect, localize and classify common faults including open circuit, short circuit, and hot-spot. Using the proposed algorithm, we have improved the accuracy of fault detection, classification and localization to 100%. Further, the proposed method can execute all three tasks (detection, classification, and localization) simultaneously.

The Applications of New Energy at High Altitudes in Intelligent Greenhouses

2014 ◽  
Vol 986-987 ◽  
pp. 1291-1295
Author(s):  
Chang Wei Ji ◽  
Min Li
Keyword(s):  
Renewable Energy ◽  
Solar Energy ◽  
Wind Energy ◽  
High Altitude ◽  
Low Cost ◽  
Renewable Energy Sources ◽  
Biomass Energy ◽  
New Energy ◽  
High Altitude Area ◽  
Physical Changes

In the high altitude, solar energy, biomass energy and wind energy are widely available and renewable energy sources. It will improve the region's living levels at high altitude and the ecological environment when developed efficiently and in low cost. Making full use of renewable natural resources is of great value and significance to sustain the development of high-altitude areas of the economy. This paper is a kind of research and study, which based on new energy and aims at making full use of solar energy, wind energy, biomass energy complementary relationship and physical changes between planting and breeding to improve the renewable energy industry, integrated, modular for the high altitude area residents gathered .

scholarly journals Reactor Design and Thermal Performance Analysis for Solar Thermal Energy Storage Application

Energies ◽  
2020 ◽  
Vol 13 (12) ◽  
pp. 3186
Author(s):  
Yabibal Getahun Dessie ◽  
Bachirou Guene Lougou ◽  
Hong Qi ◽  
Heping Tan ◽  
Juqi Zhang ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Solar Energy ◽  
Thermal Performance ◽  
Low Cost ◽  
Renewable Energy Sources ◽  
Reactor Design ◽  
Engineering Industry ◽  
Solar Thermal Energy ◽  
The Given

Solar energy is a sustainable and low-cost renewable energy of enormous importance, especially at this time where non-renewable energy sources are unsustainable and costly. However, improving the thermal performance of a solar energy storage reactor poses some challenges. In this study, the location of fluid inlets and outlets in the given reactor design and its impact on the thermal performance were investigated. A P1 approximation radiation model coupled with shallow channel approximation of fluid flow was developed. By taking the frustum base as a reference, four fluid inlets along the edges of the frustum and two outlet locations at the base and side of the reactor were computed. Inlets located 4.81 cm from the base of the frustum and an outlet located at the side of the reactor were found to have a better thermal performance with a short conveyer energy flow system. It was also deduced that radiation applied at the edges of the frustum had better thermal performance than that applied at a quartz edge. Furthermore, increasing the laminar inflow rate from 0.36 (L/h) to 3.6 (L/h) increased the temperature distribution in the reactor. This study provides noteworthy insights of relevance to the power engineering industry and academia.

Machine learning roles in advancing the power network stability due to deployments of renewable energies and electric vehicles

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Mohamad Nassereddine
Keyword(s):  
Machine Learning ◽  
Renewable Energy ◽  
Electric Vehicles ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Power Network ◽  
Network Stability ◽  
Fast Charging ◽  
Electrical Loads ◽  
Charging Stations

AbstractRenewable energy sources are widely installed across countries. In recent years, the capacity of the installed renewable network supports large percentage of the required electrical loads. The relying on renewable energy sources to support the required electrical loads could have a catastrophic impact on the network stability under sudden change in weather conditions. Also, the recent deployment of fast charging stations for electric vehicles adds additional load burden on the electrical work. The fast charging stations require large amount of power for short period. This major increase in power load with the presence of renewable energy generation, increases the risk of power failure/outage due to overload scenarios. To mitigate the issue, the paper introduces the machine learning roles to ensure network stability and reliability always maintained. The paper contains valuable information on the data collection devises within the power network, how these data can be used to ensure system stability. The paper introduces the architect for the machine learning algorithm to monitor and manage the installed renewable energy sources and fast charging stations for optimum power grid network stability. Case study is included.

scholarly journals Prediction of Solar Irradiance Based on Artificial Neural Networks

Inventions ◽  
2019 ◽  
Vol 4 (3) ◽  
pp. 45 ◽  
Author(s):  
Waleed I. Hameed ◽  
Baha A. Sawadi ◽  
Safa J. Al-Kamil ◽  
Mohammed S. Al-Radhi ◽  
Yasir I. A. Al-Yasir ◽  
...  
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Solar Irradiance ◽  
Open Circuit Voltage ◽  
Low Cost ◽  
Short Circuit ◽  
Short Circuit Current ◽  
Open Circuit ◽  
Pv Module ◽  
Artificial Neural

Prediction of solar irradiance plays an essential role in many energy systems. The objective of this paper is to present a low-cost solar irradiance meter based on artificial neural networks (ANN). A photovoltaic (PV) mathematical model of 50 watts and 36 cells was used to extract the short-circuit current and the open-circuit voltage of the PV module. The obtained data was used to train the ANN to predict solar irradiance for horizontal surfaces. The strategy was to measure the open-circuit voltage and the short-circuit current of the PV module and then feed it to the ANN as inputs to get the irradiance. The experimental and simulation results showed that the proposed method could be utilized to achieve the value of solar irradiance with acceptable approximation. As a result, this method presents a low-cost instrument that can be used instead of an expensive pyranometer.

scholarly journals Pretreatments of lignocellulosic feedstock for bioethanol production

2010 ◽  
Vol 64 (4) ◽  
pp. 283-293 ◽  
Author(s):  
Zlatica Predojevic
Keyword(s):  
Renewable Energy ◽  
Co2 Emission ◽  
Fossil Fuels ◽  
Low Cost ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Bioethanol Production ◽  
Environment Protection ◽  
Lignocellulosic Feedstock ◽  
Lignocellulosic Feedstocks

The use of renewable energy sources (biofuels), either as a component in the conventional fossil fuels, gasoline and diesel, or as a pure biofuel, contributes to energy saving and decrease of total CO2 emission. The use of bioethanol mixed with gasoline significantly decreases gasoline consumption and contributes to environment protection. One of the problems in the production of bioethanol is the availability of sugar and starch based feedstock used for its production. However, lignocellulosic feedstocks are becoming more significant in the production of bioethanol due to their availability and low cost. The aim of this study is to point out the advantages and shortcomings of pretreatment processes and hydrolyses of lignocellulosic feedstocks that precede their fermentation to bioethanol.

scholarly journals Development of a Micro grid with Renewable Energy Sources with Feedback Controller

2019 ◽  
Vol 8 (11) ◽  
pp. 2014-2018
Keyword(s):  
Renewable Energy ◽  
Electricity Generation ◽  
Low Cost ◽  
Renewable Energy Sources ◽  
Electrical Power ◽  
Energy Sources ◽  
Military Operations ◽  
Urban Centers ◽  
Industrial Projects ◽  
Micro Grid

To make micro grid with renewable energy and to over come the technical challenges and economy base and policy and regulatory challenges . From the natural wastage we can generate the Electricity. Thus, the Electrical Power or Electricity is available with a low cost and pollution free to anyplace in the world at all times. This process divulge a unequaled step in electricity generation and this type of generation is maintain the ecological balance. We can have an uninterrupted power supply irrespective of the natural condition without any kind of environmental pollution. More influence this process relent the less production cost for electricity generation. Micro grids have long been used in remote areas to power off-grid villages, military operations or industrial projects. But increasingly they are being used in cities or towns, in urban centers. Here we try a proto type of micro grid with renewable energy sources.

scholarly journals DEVELOPMENT OF SOLAR ENERGY IN UKRAINE IN THE CONTEXT OF THE TRANSITION TO THE CARBON-NEUTRAL ECONOMY

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
T. Pimonenko ◽  
O. Lyulyov ◽  
N. Letunovska ◽  
O. Lytvynenko ◽  
A. Nazarenko
Keyword(s):  
Renewable Energy ◽  
Solar Energy ◽  
Alternative Energy ◽  
Renewable Energy Sources ◽  
Developed Countries ◽  
Energy Sources ◽  
Advantages And Disadvantages ◽  
Alternative Energy Sources ◽  
Research And Innovation ◽  
Leading Position

The article aims to study current trends in the use of solar energy in Ukraine and the world as one of the main directions of decarbonization of the national economy. The authors systematize the prospects, advantages and disadvantages of the development of renewable energy sources. They conducted a comparative analysis of the "efficiency" of solar energy in some countries and Ukraine. The authors determined that the leading position in terms of the share of energy consumed from renewable sources is occupied by countries with developed economies due to the availability of effective motivational mechanisms. From the experience of EU countries, the authors concluded that renewable energy sources form a prerequisite for obtaining additional socio-economic and environmental effects. In the presence of favorable market conditions, renewable energy sources can increase the level of energy security in the country and its energy independence. The article analyzes the legislation of Ukraine on stimulating the development of alternative energy. The authors proposed two opposed ways of further developing solar energy in Ukraine. In particular, the country can implement methods of using alternative energy, which developed countries have successfully implemented. Another area involves increasing research and innovation in implementing, using, maintaining, and utilizing energy-generating devices from alternative energy sources. Despite the polarity of the proposed directions for further development of renewable energy, in both cases, the state policy on attracting investment and promoting the use of energy from alternative energy sources is crucial. In addition, the authors noted the benefits for society from the development and implementation of alternative energy sources. The scaling up and promotion of energy production technologies from alternative sources can reduce carbon emissions, which has been an urgent problem globally.

scholarly journals PROSPECTS FOR RENEWABLE ENERGY FOR LOW-RISE BUILDINGS IN CRIMEA

2020 ◽  
pp. 85-93
Author(s):  
N. V. Tsopa ◽  
A. E. Dikarev
Keyword(s):  
European Union ◽  
Renewable Energy ◽  
Solar Energy ◽  
Power Supply ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
The European Union ◽  
Advantages And Disadvantages ◽  
The World ◽  
The Crimea

in the article provides a comparative analysis of the development of solar energy in the world, in the European Union, in Russia and in Crimea; the advantages and disadvantages of the use of solar energy, the features of the use of renewable energy sources are considered, the use of solar energy in the Crimea is justified; describes the mechanism of a feasibility study for the use of autonomous power supply for low-rise buildings in Crimea.

scholarly journals TECHNO-ECONOMIC ANALYSIS OF AN OFF-GRID HYBRID ENERGY SYSTEM WITH HOMER PRO

2021 ◽  
Vol 5 (3) ◽  
pp. 56-61
Author(s):  
Ahmet Erhan AKAN
Keyword(s):  
Renewable Energy ◽  
Solar Energy ◽  
Economic Analysis ◽  
Energy Conversion ◽  
Renewable Energy Sources ◽  
Lithium Ion ◽  
Energy Sources ◽  
Renewable Energy Resources ◽  
Energy Potential ◽  
Economic Point

The decrease in fossil-based energy sources and increasing environmental problems increase the tendency to renewable energy sources day by day. The potential of renewable energy sources differs according to the region where the energy will be produced. For this reason, it is crucial to conduct a good feasibility study that deals with the selected systems from a technical and economic point of view before making an investment decision on energy conversion systems based on renewable energy sources. In this study, the most suitable equipment and capacities were investigated by examining the techno-economic analysis of a hybrid system created with wind-solar renewable energies for a detached house, which is considered off-grid, in a rural area of Tekirdağ province (40o58.7ı N, 27o30.7ı E). Investigations were carried out using the HOMER Pro (Hybrid Optimization Model for Electric Renewable) program. The wind and solar energy potential of Tekirdağ province were obtained from the NASA renewable energy resources database added to the HOMER Pro program. The daily electricity requirement of the sample house was chosen as 11.27 kWh, and the current peak electrical load was chosen as 2.39 kW. A wind turbine is connected to the AC busbars, solar collectors and battery group connected to the DC busbars, and a converter that converts energy between AC and DC busbars in the energy conversion system. In order to determine the optimum capacities of the system elements, 27486 different simulations were performed by HOMER Pro. The selection of the most suitable system among these was determined according to the lowest net present cost (NPC) value. In addition, the energy production capacities that will occur in the case of different wind speeds were also investigated. Accordingly, the system to be installed with a solar panel with a capacity of 6.25 kW, PV-MPPT with a capacity of 1 kW, 2 wind turbines with a capacity of 1 kW, 8 Lithium-ion batteries with a capacity of 6V-167 Ah, and a converter with a capacity of 2.5 kW has been determined will generate electrical energy of 5433 kWh per year. In addition, it has been determined that 61.8% of this produced energy will be obtained from solar energy and 38.2% from wind energy, and the simple payback period of the investment will be 14 years. It is thought that this study will provide valuable information to researchers and investors.

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