scholarly journals GIS AND FUZZY AHP BASED AREA SELECTION FOR ELECTRIC VEHICLE CHARGING STATIONS

2018 ◽  
Vol XLII-4 ◽  
pp. 249-252 ◽  
Author(s):  
D. Guler ◽  
T. Yomralioglu
Keyword(s):  
Electric Vehicles ◽  
Fuzzy Ahp ◽  
Private Life ◽  
Motor Vehicles ◽  
Location Selection ◽  
Electric Vehicle Charging ◽  
Environmentally Sensitive ◽  
Charging Stations ◽  
Hierarchy Process ◽  
Selection Of

<p><strong>Abstract.</strong> Significant work is being done to protect the world and ecosystem. Innovative approaches are being explored to reduce the harm of the methods used to sustain life. Mobility is an essential issue that affects people and society in today's life. Automobiles are the most commonly used vehicle for mobility in private life and public service activities such as transportation. One of the important subjects that should be applied to environmentally sensitive methods is transportation. One of the major problems encountered today is the harmful effects of internal combustion motor vehicles. Electric vehicles are preferred because they work efficiently and with the least damaging effect on the environment. The location of electric vehicles is a complicated problem because it depends on many different factors. In this study, fuzzy analytical hierarchy process (Fuzzy AHP) as multi-criteria decision-making (MCDM) methods and geographic information systems (GIS) to manage data which can be used for the location selection of electric vehicles charging stations are researched. The study area was determined by three neighboring districts boundaries city of Istanbul in Turkey.</p>

The Study and Design of Electric System for Photovoltaic Generation Mix Charging Station

2013 ◽  
Vol 291-294 ◽  
pp. 2362-2365
Author(s):  
Bo Ye ◽  
Zhang Zhou He ◽  
Guo Meng Huang ◽  
Xue Song He ◽  
Hui Quan Li
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Wiring Diagram ◽  
Photovoltaic Generation ◽  
Electric System ◽  
Charging Station ◽  
Electric Vehicle Charging ◽  
Vehicle Charging ◽  
Charging Stations ◽  
Selection Of

With the development of electric vehicle industry, it is necessary to construct more electric vehicle charging stations to promote the popularization of electric vehicles. As photovoltaic generation owns flexible installing, convenient power supplying, and environmental protecting characteristics, it is suitable for providing power for electric vehicle charging stations and reducing a network loads. After analyzed electric vehicle charging demand, this paper proposed the designing concept of the electric system for the photovoltaic generation mix charging station, which was based on the battery charging and discharging characteristics as well as its usage. Then, the paper provided a selection of electric equipments for the charging station and an electric wiring diagram after designing the electric system. This study and design may help for promoting construction of electric vehicle charging stations, and development and popularization of electric vehicles.

scholarly journals The Development of Decarbonisation Strategies: A Three-Step Methodology for the Suitable Analysis of Current EVCS Locations Applied to Istanbul, Turkey

Energies ◽  
2021 ◽  
Vol 14 (10) ◽  
pp. 2756
Author(s):  
Ömer Kaya ◽  
Kadir Diler Alemdar ◽  
Tiziana Campisi ◽  
Ahmet Tortum ◽  
Merve Kayaci Çodur
Keyword(s):  
Electric Vehicles ◽  
Analytical Hierarchy Process ◽  
Optimal Planning ◽  
Ahp Method ◽  
Electric Vehicle Charging ◽  
Planning And Design ◽  
Order Preference ◽  
Environmental Emissions ◽  
Charging Stations ◽  
Hierarchy Process

One of the solutions to reduce environmental emissions is related to the deployment of electric vehicles (EVs) with sustainable energy. In order to be able to increase the number of electric vehicles in circulation, it is important to implement optimal planning and design of the infrastructure, with particular reference to areas equipped with charging stations. The suitable analysis of the location of current electric vehicle charging stations (EVCSs) is the central theme of this document. The research focused on the actual location of the charging stations of five major EVCS companies in the province by selecting Istanbul as the study area. The study was conducted through a three-step approach and specifically (i) the application of the analytical hierarchy process (AHP) method for creating the weights of the 6 main and 18 secondary criteria that influence the location of EVCSs; (ii) a geospatial analysis using GIS considering each criterion and developing the suitability map for the locations of EVCSs, and (iii) application of the technique for order preference by similarity to ideal solution (TOPSIS) to evaluate the location performance of current EVCSs. The results show that the ratio between the most suitable and unsuitable areas for the location of EVCSs in Istanbul and the study area is about 5% and 4%, respectively. The results achieved means of improving sustainable urban planning and laying the basis for an assessment of other areas where EVCSs could be placed.

scholarly journals Supplier Selection Model of the Lithium-ion Battery using Fuzzy AHP and Analysis of BOCR

2018 ◽  
Vol 1 (1) ◽  
pp. 1-8 ◽  
Author(s):  
Ari Wardayanti ◽  
Roni Zakaria ◽  
Wahyudi Sutopo ◽  
Bendjamin Benny Louhenapessy ◽  
◽  
...  
Keyword(s):  
Lithium Ion Battery ◽  
Electric Vehicles ◽  
Supplier Selection ◽  
Fuzzy Ahp ◽  
Lithium Ion ◽  
Quantitative Model ◽  
The Right ◽  
Hierarchy Process ◽  
Selection Of

Although the demand for the lithium-ion battery for electronic consumers and electric vehicles in Indonesia is high, there is no supplier coming from the local manufacturer. The proper selection of suppliers is required by some lithium-ion battery manufacturers (cells, modules, and packs), and Research and Development (R&D) center of the lithium-ion battery with the consideration not only in benefits and cost but also in opportunities and risks. It is important that experts assist the manufacturers and R&D to procure the lithium-ion (materials and cells), through transparent methods that seek a quantitative model to select the right supplier. The main objective of this study is to propose an analytical approach to select suppliers which incorporate Benefits, Opportunities, Costs and Risks (BOCR) concept that comply with the characteristics of the lithium-ion battery industries. A fuzzy Analytical Hierarchy Process (AHP) model is developed by accommodating the vagueness and inaccuracies of expert elections. The result of this research is development of the model obtained from 2 questionnaires given to the expert. Questionnaire 1 was made for the determination of criteria and sub-criteria, while Questionnaire 2 aims to perform pairwise comparisons of existing criteria and sub-criteria. In the selection of the lithium-ion battery suppliers, there are 11 criteria and 40 sub-criteria which are considered. Those criteria are divided into 4 merits and known for their respective global priorities.

An Integrated Fuzzy Multi-Criteria Approach for E-Waste Collection Center Location Problem

2021 ◽  
Vol 10 (2) ◽  
pp. 21-38
Author(s):  
Hür Bersam Bolat ◽  
İrem Otay ◽  
Gül Tekin Temur ◽  
Şükrü İmre
Keyword(s):  
Fuzzy Ahp ◽  
Waste Recycling ◽  
Waste Collection ◽  
Location Selection ◽  
Recycling Industry ◽  
Center Location ◽  
Hierarchy Process ◽  
Selection Of

Selection of locations for collecting end of life goods is a multi-dimensional problem. In this study, the objective is to propose a hybrid multi-criteria decision model for e-waste collection center location selection problem employing an integrated Pythagorean fuzzy AHP (analytical hierarchy process)-VIKOR (multi-criteria optimization and compromise solution) methodology. A case study from Turkish e-waste recycling industry is conducted in order to verify the success of the proposed methodology. Thirty-nine alternative collection center districts are evaluated and ranked by employing Pythagorean fuzzy VIKOR based on “cost, logistics, environment, socio-culture, and population” and 11 sub-criteria. The study involves 39 e-waste collection location centers, and the model was solved for 50 times for 10 scenarios for each criterion. The results of sensitivity analysis indicate that the evaluation of criteria and determination of their weights have critical effects on the results.

scholarly journals Facility location selection for the furniture industry of Bangladesh: Comparative AHP and FAHP analysis

2021 ◽  
Vol 13 ◽  
pp. 184797902110308
Author(s):  
Md Nazmul Hasan Suman ◽  
Nagib MD Sarfaraj ◽  
Fuad Ahmed Chyon ◽  
Md Rafiul Islsm Fahim
Keyword(s):  
Facility Location ◽  
Raw Materials ◽  
Fuzzy Ahp ◽  
Facility Location Problem ◽  
Decision Makers ◽  
Energy Availability ◽  
Furniture Industry ◽  
Data Set ◽  
Location Selection ◽  
Hierarchy Process

The furniture industry is growing to a great extent in Bangladesh. Many market researchers believe that the industry has enormous potentiality. However, the expansion of this industry may face complexities within a few years. Due to the wrong selection of facilities, many organizations failed to earn profit as expected. It also needs a large investment. Selecting a suitable place for a new facility is going to be the biggest question of upcoming years. This study aimed to analyze Bangladesh’s furniture industry, address the facility location problem, and provide a constructive solution to the decision-makers. In this study, seven criteria were considered: availability of raw materials, transportations, skilled labor, proximity to customers, energy availability, economic zone facility, and environmental impact, and five ideal locations or alternatives: Khulna, Chattogram, Bogura, Gazipur, and Manikganj. Thirty-four experts took part in the survey to analyze the significant criteria for selecting a furniture industry’s facility location and alternatives or potential locations for the facility. The Analytical Hierarchy Process (AHP) and Fuzzy AHP methods (FAHP), two MCDM techniques, were used to analyze the data set. A sensitivity analysis was done to determine the model’s robustness for any critical changes in the real world. The result showed that ‘energy availability is the most significant criterion to select a facility location for the furniture industry, where it got 35.1% criteria weight in AHP and 33.9% in FAHP. ‘Chattogram’ was selected as the most suitable place containing 33.74% normalized weight in AHP and 33.81% normalized weight in FAHP.

scholarly journals Energy Management System Optimization of Drug Store Electric Vehicles Charging Station Operation

2021 ◽  
Vol 13 (11) ◽  
pp. 6163
Author(s):  
Yongyi Huang ◽  
Atsushi Yona ◽  
Hiroshi Takahashi ◽  
Ashraf Mohamed Hemeida ◽  
Paras Mandal ◽  
...  
Keyword(s):  
Power Generation ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
System Optimization ◽  
Mixed Integer ◽  
Charging Station ◽  
Electric Vehicle Charging ◽  
Photovoltaic Power ◽  
Vehicle Charging ◽  
Charging Stations

Electric vehicle charging station have become an urgent need in many communities around the world, due to the increase of using electric vehicles over conventional vehicles. In addition, establishment of charging stations, and the grid impact of household photovoltaic power generation would reduce the feed-in tariff. These two factors are considered to propose setting up charging stations at convenience stores, which would enable the electric energy to be shared between locations. Charging stations could collect excess photovoltaic energy from homes and market it to electric vehicles. This article examines vehicle travel time, basic household energy demand, and the electricity consumption status of Okinawa city as a whole to model the operation of an electric vehicle charging station for a year. The entire program is optimized using MATLAB mixed integer linear programming (MILP) toolbox. The findings demonstrate that a profit could be achieved under the principle of ensuring the charging station’s stable service. Household photovoltaic power generation and electric vehicles are highly dependent on energy sharing between regions. The convenience store charging station service strategy suggested gives a solution to the future issues.

scholarly journals Distribution Network Congestion Dispatch Considering Time-Spatial Diversion of Electric Vehicles Charging

Energies ◽  
2018 ◽  
Vol 11 (10) ◽  
pp. 2820 ◽  
Author(s):  
Hui Sun ◽  
Peng Yuan ◽  
Zhuoning Sun ◽  
Shubo Hu ◽  
Feixiang Peng ◽  
...  
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Distribution Network ◽  
Network Congestion ◽  
Charging Station ◽  
Electric Vehicle Charging ◽  
Large Numbers ◽  
Pricing Scheme ◽  
Multiple Charging ◽  
Charging Stations

With the popularization of electric vehicles, free charging behaviors of electric vehicle owners can lead to uncertainty about charging in both time and space. A time-spatial dispatching strategy for the distribution network guided by electric vehicle charging fees is proposed in this paper, which aims to solve the network congestion problem caused by the unrestrained and free charging behaviors of large numbers of electric vehicles. In this strategy, congestion severity of different lines is analyzed and the relationship between the congested lines and the charging stations is clarified. A price elastic matrix is introduced to reflect the degree of owners’ response to the charging prices. A pricing scheme for optimal real-time charging fees for multiple charging stations is designed according to the congestion severity of the lines and the charging power of the related charging stations. Charging price at different charging station at different time is different, it can influence the charging behaviors of vehicle owners. The simulation results confirmed that the proposed congestion dispatching strategy considers the earnings of the operators, charging cost to the owners and the satisfaction of the owners. Moreover, the strategy can influence owners to make judicious charging plans that help to solve congestion problems in the network and improve the safety and economy of the power grid.

scholarly journals Price effect analysis and pre-reseravtion scheme on electric vehicle charging networks

2019 ◽  
Vol 9 (6) ◽  
pp. 5586
Author(s):  
Junghoon Lee ◽  
Gyung-Leen Park
Keyword(s):  
Electric Vehicles ◽  
Service Providers ◽  
Real Life ◽  
Price Effect ◽  
Effect Analysis ◽  
Electric Vehicle Charging ◽  
Demand Patterns ◽  
Charging Stations ◽  
Occupancy Rates ◽  
Charging Demand

<p>This paper investigates the price effect to the charging demand coming from electric vehicles and then evaluates the performance of a pre-reservation mechanism using the real-life demand patterns. On the charging network in Jeju city, the occupancy rates for 3 price groups, namely, free, medium-price, and expensive chargers, are separated almost evenly by about 9.0 %, while a set of chargers dominates the charging demand during hot hours. The virtual pre-reservation scheme matches electric vehicles to a time slot of a charger so as not only to avoid intolerable waiting time in charging stations systematically but also to increase the revenue of service providers, taking into account both bidding levels specified by electric vehicles and preference criteria defined by chargers. The performance analysis results obtained by prototype implementation show that the proposed pre-reservation mechanism improves the revenue of service providers by up to 9.5 % and 42.9 %, compared with the legacy FCFS and reservation-less walk-in schemes for the given performance parameter sets.</p>

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