A comprehensive framework for electric vehicle charging station siting along highways using weighted sum method

被引:12
作者
Gonul, Omer [1 ,2 ]
Duman, A. Can [1 ,2 ]
Guler, Onder [1 ]
机构
[1] Istanbul Tech Univ, Energy Inst, Ayazaga Campus, TR-34469 Istanbul, Turkiye
[2] Turkish German Univ, Dept Energy Sci & Technol, TR-34820 Istanbul, Turkiye
关键词
Electric vehicle charging station; Infrastructure planning; Range anxiety; Sustainability; Transportation; Weighted sum method; OPTIMAL SITE SELECTION; OPTIMIZATION; INFRASTRUCTURE; LOCATION; INTEGRATION; ALLOCATION; NETWORK; MODEL;
D O I
10.1016/j.rser.2024.114455
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The proliferation of electric vehicles (EVs) has led to an increased demand for strategically located EV charging stations (EVCSs) to ensure a balanced and accessible charging network. The siting of EVCS involves a multifaceted process that includes technological, economic, social, geographical, and environmental factors. An EVCS network should deliver high-quality service, alleviate drivers ' range anxiety, and be compatible with renewable energy system integration, while also accounting for technical infrastructure and future expansion expectations. Resting areas along highways, equipped with amenities and grid connections, emerge as potential sites for EVCS installation. Accordingly, this study presents an EVCS siting framework along highways, integrating expert opinions from diverse disciplines. The proposed method employs expert opinions to weigh site selection criteria and then uses a clustering-based approach to identify suitable locations for EVCS siting, utilizing the weighted sum method. According to the experts, the most important criterion is determined as the service level of the candidate point with a weight of 0.375, followed by traffic density (0.218), and proximity to connection roads (0.215). The method is tested both on a test highway and the Edirne-Ankara highway, which is the most heavily used in T & uuml;rkiye. The results demonstrate that the test highway identifies 13 out of 18 optimal locations using the clustering strategy. Similarly, the siting method identifies 18 out of 31 optimal EVCS locations along the EdirneAnkara highway ensuring the distance constraints. This approach is scalable and adaptable for application on highways in various countries where EVCS infrastructure is still developing.
引用
收藏
页数:14
相关论文
共 75 条
[1]   Renewable energy integration with electric vehicle technology: A review of the existing smart charging approaches [J].
Barman, Pranjal ;
Dutta, Lachit ;
Bordoloi, Sushanta ;
Kalita, Anamika ;
Buragohain, Pronamika ;
Bharali, Swapna ;
Azzopardi, Brian .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2023, 183
[2]   Siting public electric vehicle charging stations in Beijing using big-data informed travel patterns of the taxi fleet [J].
Cai, Hua ;
Jia, Xiaoping ;
Chiu, Anthony S. F. ;
Hu, Xiaojun ;
Xu, Ming .
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 2014, 33 :39-46
[3]   Location optimisation method for fast-charging stations along national roads [J].
Csiszar, Csaba ;
Csonka, Balint ;
Foldes, David ;
Wirth, Ervin ;
Lovas, Tamas .
JOURNAL OF TRANSPORT GEOGRAPHY, 2020, 88
[4]   Optimization of the Physical and Mechanical Properties of a Spline Surface Fabricated by High-Speed Cold Roll Beating Based on Taguchi Theory [J].
Cui, Fengkui ;
Su, Yongxiang ;
Xu, Shaoke ;
Liu, Fei ;
Yao, Guolin .
MATHEMATICAL PROBLEMS IN ENGINEERING, 2018, 2018
[5]   A MCDM framework for site selection of island photovoltaic charging station based on new criteria identification and a hybrid fuzzy approach [J].
Dang, Ruinan ;
Li, Xingmei ;
Li, Chentao ;
Xu, Chuanbo .
SUSTAINABLE CITIES AND SOCIETY, 2021, 74
[6]   Smart control of BESS in PV integrated EV charging station for reducing transformer overloading and providing battery-to-grid service [J].
Datta, Ujjwal ;
Kalam, Akhtar ;
Shi, Juan .
JOURNAL OF ENERGY STORAGE, 2020, 28
[7]   Planning of electric vehicle infrastructure based on charging reliability and quality of service [J].
Davidov, Sreten ;
Pantos, Milos .
ENERGY, 2017, 118 :1156-1167
[8]   Design of an electric vehicle fast-charging station with integration of renewable energy and storage systems [J].
Dominguez-Navarro, J. A. ;
Dufo-Lopez, R. ;
Yusta-Loyo, J. M. ;
Artal-Sevil, J. S. ;
Bernal-Agustin, J. L. .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2019, 105 :46-58
[9]   Optimal siting of electric vehicle charging stations: A GIS-based fuzzy Multi-Criteria Decision Analysis [J].
Erbas, Mehmet ;
Kabak, Mehmet ;
Ozceylan, Eren ;
Cetinkaya, Cihan .
ENERGY, 2018, 163 :1017-1031
[10]  
European Commission, 2024, EUROPEAN ALTERNATIVE