Integration of Solar-Power in Electric Vehicle Industry

Author(s):  
Rajesh Shah ◽  
Vikram Mittal ◽  
Blerim Gashi
Keyword(s):  
2018 ◽  
Vol 63 (02) ◽  
pp. 409-429 ◽  
Author(s):  
YUZURU MIYATA ◽  
HIROYUKI SHIBUSAWA ◽  
TOMOAKI FUJII

In this paper, we explore the economic impact of promotion and realization of an electric vehicle society (EVS). More concretely, this paper emphasizes a computable general equilibrium (CGE) modeling approach to evaluate the following issues: economic impacts of subsidies for promotion of an EVS, the possibility of price reductions, industrial structure change toward an EVS, and modal shift occurring toward an EVS. Our simulation results demonstrate that after applying 5–25% up subsidies to five industries, such as electric vehicle (EV) manufacturing, EV transport, solar power, cogeneration and other transport, the total industrial output and city GDP increase. A large growth rate is found in industries where subsidies are introduced alone with non-ferrous metal industry. However, it is interesting that decreasing proportions are found in oil and coal product, mining, heat supply and gasoline vehicle (GV) transport industries. Moreover, all the commodity prices decrease since subsidies are given to some industries. Hence Toyohashi City’s economy shows a direction where the demand for conventional vehicles and energy use are decreased, conversely, the demand for EVs and renewable energy are increased illustrating a different life style from the current one. However, it does not mean that the total CO2 emission is decreased. EV society makes some industrial outputs larger. Due to the fact that some industrial outputs are increased, CO2 emissions of EV manufacturing and nonferrous metal are increased more than decreased industries. Thus, introducing 5–25% subsidies to EV manufacturing, EV transport, solar power, cogeneration and other transport can really represent a realistic alternative society to EVS if the total CO2 emission can be reduced. Therefore, we have to think what can make the total CO2 emission reduced.


Author(s):  
E. Sheeba Percis ◽  
Manivannan S ◽  
Nalini A

In the past few years the growing demand for electricity and serious concern for the environment have given rise to the growth of sustainable sources like wind, solar, tidal, biomass etc. The technological advancement in power electronics has led to the extensive usage of solar power. Solar power output varies with the weather conditions and under shading conditions. With the increasing concerns of the impacts of the high penetration of Photovoltaic (PV) systems, a technical study about their effects on the power quality of the utility grid is required. This paper investigates the functioning of a grid-tied PV system along with maximum power point tracking (MPPT) algorithm. The effects of varying atmospheric conditions like solar irradiance and temperature are also taken into account. It is proposed in this work that an Electric Vehicle (EV) can be used as an energy storage to stabilize the power supplied to the grid from the photovoltaic resources. A coordinated control is necessary for the EV to obtain desired outcome. The modeling of the PV and EV system is carried out in PSCAD and the proposed idea is verified through simulation results utilizing real field data for solar irradiance and temperature.


2021 ◽  
Vol 13 (6) ◽  
pp. 3528
Author(s):  
Phap Vu Minh ◽  
Sang Le Quang ◽  
Manh-Hai Pham

At present, the electric vehicle (EV) market is developing strongly and widely across many countries around the world. Increasing clean energy infrastructure for EVs is a possible solution to reduce greenhouse gas emissions and help improve air quality in urban areas. Electric vehicles charged by electricity from photovoltaic (PV) systems can produce less emissions than conventional EVs charged by the utility grid. Thus, the combination of solar power and EV charging stations is one of the possible methods to achieve sustainable development in the current EV market. EVs in cities in Vietnam have developed very quickly in recent times, but the charging station infrastructure is still very limited, and most existing charging stations use electricity from the utility grid. In this paper, the optimal configuration of PV-powered EV charging stations is analyzed technically and economically under different solar irradiation conditions in Vietnam. The study results show that the optimal configuration and investment efficiency of PV-powered EV charging stations in each urban area are greatly affected by the solar irradiation value and feed-in tariff (FIT) price of rooftop solar power. In Vietnam, a region with high solar irradiation, such as Ho Chi Minh, is more likely to invest in PV-powered EV charging stations than other areas with lower solar irradiation, such as Hanoi.


DC distribution system is getting wider acceptance around the world due to the reduction of conversion stages between AC and DC and the increased popularity of DC loads. Solar PV is a genuine source of DC which can directly power the DC loads like electric vehicle (EV) battery for charging. Increased deployment of Electric vehicles need more charging stations, preferably powered with renewable DC sources or DC microgrid. The intermittent nature of solar power necessitates a backup support from the AC grid. An attempt is made to develop a load management system at a DC charging station powered from renewable sources. The proposed load management system can manage the various DC loads at the charging station based on the power rating of the charging equipment, available solar power and the availability of the backup AC grid. The entire system is automated and enabled with IoT in order to receive the available solar power data through a cloud based communication system. Identification of grid failure, instantaneous load changes and communication infrastructure through cloud for updating the generation profiles are the key concerns of the proposed system.


2015 ◽  
Author(s):  
Sri Charan Gunti ◽  
Sai Kiran Gunti ◽  
Amjad Shaik ◽  
Srinivasa Rao ◽  
Amarnath Reddy
Keyword(s):  

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