scholarly journals Development of A Solar Panel Auxiliary System in Order to Extend Range

2018 ◽  
Vol 9 (1) ◽  
pp. 235-238
Author(s):  
Tibor Tóth
Keyword(s):  
Renewable Energy ◽  
Solar Cells ◽  
Solar Cell ◽  
Electric Vehicles ◽  
Renewable Energy Sources ◽  
Limited Range ◽  
Cell System ◽  
Energy Sources ◽  
Solar Powered ◽  
Leaf Model

Abstract The aim of this research is to find a solution that can contribute to the more widespread use of electric vehicles and, through development, promote the use of renewable energy sources. It aims to eliminate the disadvantages of electric vehicles, such as self-discharge, stationary charging and limited range. The focus is mainly a solar-powered solution, since small solar cells have already been implemented on the commercially available Nissan Leaf model to solve similar problems but with very little or no improvement. Encouraged by this attempt I have engineered a larger, more useful auxiliary solar cell system to improve the range of these vehicles.

scholarly journals Technical and economic calculation of a solar-powered charging station for electric vehicles

2021 ◽  
pp. 71-78
Author(s):  
Andrii Hnatov ◽  
Shchasiana Arhun ◽  
Hanna Hnatova ◽  
Pavlo Sokhin
Keyword(s):  
Renewable Energy ◽  
Electric Vehicles ◽  
Internal Combustion Engines ◽  
Renewable Energy Sources ◽  
Economic Indicators ◽  
Energy Sources ◽  
Economic Calculation ◽  
Charging Station ◽  
Solar Powered ◽  
Technical And Economic Indicators

Problem. Development and implementation of green technologies is both an urgent and a cost-effective scientific and engineering task. Therefore, the issues related to the study of renewable energy sources, which are used as the main sources of energy for electric vehicles, are quite relevant and promising. At the same time, an equally important question is how profitable is building solar charging stations in terms of both ecology and economy. Goal. The aim is calculation and analysis of technical and economic indicators of a solar charging station for electric vehicles (EV). Methodology. The analytical methods of studying the development and application of the ways and devices to transform the energy of the sun into electricity are used, as well as the methods of experimental research and mathematical methods of processing and modulation of the received results; methods of calculating technical and economic indicators. Results. The review of the literature on the development of renewable energy sources, in particular, solar power plants, and the spread of electric vehicles with the gradual displacement (replacement) of traditional cars working on internal combustion engines with electric vehicles (BEV and PHEV) was made. The main parameters and technical characteristics of the solar-powered charging station (SPCS) were studied. For the analysis and calculation of technical and economic indicators of SPCS for EV it is offered to take a SPP with a capacity of 20 kW as a basis. The calculation of SPCS electricity generation both for own consumption and for power supply of EV and the sale of surplus electricity to the general network at the “green tariff” was carried out. Originality. The technical and economic calculation of SCS was made taking into account the rise of electricity prices in Kharkiv region (Ukraine). Practical value. According to the analysis of the obtained results, it can be said that the payback period of SPCS for EV is about 7.9 years. If we consider the constant increase in the cost of electricity (approximately 15% per year), we can expect the payback after 6.8 years of operation.

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.

Revolution of Energy Storage System in Smart Grids

2016 ◽  
pp. 181-206
Author(s):  
Jianhui Wong ◽  
Yun Seng Lim
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Smart Grid ◽  
Electric Vehicles ◽  
Renewable Energy Sources ◽  
Storage System ◽  
Energy Storage System ◽  
Energy Sources ◽  
Electrical Grid ◽  
Technical Issues

Electrical grid is no longer featured in a conventional way nowadays. Today, the growing of new technologies, primarily the distributed renewable energy sources and electric vehicles, has been integrated with the distribution networks causing several technical issues. As a result, the penetration of the renewable energy sources can be limited by the utility companies. Smart grid has been emerged as one of the solutions to the technical issues, hence allowing the usage of renewable and improving the energy efficiency of the electrical grid. The challenge is to develop an intelligent management system to maintain the balance between the generation and demand. This task can be performed by using energy storage system. As part of the smart grid, the deployment of energy storage system plays a critical role in stabilizing the voltage and frequency of the networks with renewable energy sources and electric vehicles. This book chapter illustrates the revolution and the roles of energy storage for improving the network performance.

scholarly journals A New Solution to Profit Based Unit Commitment Problem Considering PEVs/BEVs and Renewable Energy Sources

2020 ◽  
Vol 184 ◽  
pp. 01070
Author(s):  
Ayani Nandi ◽  
Vikram Kumar Kamboj
Keyword(s):  
Renewable Energy ◽  
Electric Vehicles ◽  
Production Cost ◽  
Unit Commitment ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Unit Commitment Problem ◽  
Load Demand ◽  
Commitment Problem ◽  
The Impact

Daily load demand for industrial, residential and commercial sectors are changing day by day. Also, inclusion of e-mobility has totally effected the operations of realistic power sector. Hence, to meet this time varying load demand with minimum production cost is very challenging. The proposed research work focuses on the mathematical formulation of profit based unit commitment problem of realistic power system considering the impact of battery electric vehicles, hybrid electric vehicles and plug in electric vehicles and its solution using Intensify Harris Hawks Optimizer (IHHO). The coordination of plants with each other is named as Unit commitment of plants in which the most economical patterns of the generating station is taken so as to gain low production cost with higher reliability. But with the increase in industrialization has affected the environment badly so to maintain the balance between the generation and environment a new thinking of generating low cost power with high reliability by causing less harm to environment i.e. less emission of flue gases is adopted by considering renewable energy sources.

scholarly journals Determining the sequence and backbone structure of “semi-statistical” copolymers as donor–acceptor polymers in organic solar cells

2020 ◽  
Vol 4 (4) ◽  
pp. 2026-2034
Author(s):  
Samuel S. Lawton ◽  
Daniel Warr ◽  
Luís M. A. Perdigão ◽  
Yujing Chang ◽  
Agnieszka Pron ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Solar Cells ◽  
Organic Photovoltaics ◽  
Organic Solar Cells ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Donor Acceptor ◽  
Backbone Structure ◽  
Significant Attention

Organic photovoltaics (OPVs) are attracting significant attention due to the growing demand for economically viable and renewable energy sources.

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