Comparative study of regular and smart grids with PV for Electrification of an academic campus with EV charging

被引:6
|
作者
Rehman, Shafiqur [1 ]
Mohammed, Abdul Baseer [2 ]
Alhems, Luai [3 ]
Alsulaiman, Fahad [1 ]
机构
[1] King Fahd Univ Petr & Minerals, Interdisiplinary Res Ctr Renewable Energy & Power, Dhahran 31261, Saudi Arabia
[2] Amer Int Univ, Sch Engn & Comp, Mech Engn Dept, Al Jahra, Kuwait
[3] King Fahd Univ Petr & Minerals, Appl Res Ctr Metrol Stand Testing ARC MST, Dhahran 31261, Saudi Arabia
关键词
Green parking; Electric vehicles (EV); Smart grid; Solar energy; Photovoltaics (PV); Sensitivity analysis; STATION;
D O I
10.1007/s11356-023-27859-5
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The current global greenhouse gas (GHG) emission rates will increase the average global temperature by 1.5 degrees C by 2050. This will be detrimental for organisms and ecosystems, as well as human well-being. Many countries have pledged to halve their emissions by 2030 and reach net zero targets by 2050. Optimum generation of electricity from sustainable green sources and its use to charge electric vehicle (EV) batteries will solve this problem to greater extent. The best places to capture solar energy, use it to meet load demand and charge EV batteries are the large open car parking areas near retail stores, academic institutes, industrial areas, and offices. This study targets the open parking areas of an academic campus (King Saud University, Riyadh) to meet the load demand of 25,000 kWh/day with a peak load of 4180 kW and charging the batteries of parked EVs. Four system designs, simple grid, standalone photovoltaic (PV), simple grid and PV, and smart grid and PV, are compared. Currently, the cost of energy (COE) of the grid is US $ 0.085 in KSA. In comparison, the COE of standalone PV is almost 4.5 folds higher and in simple grid with PV, it is around 58% higher. However, a renewable penetration of 53.8% is achieved. In the third option, smart grid with PV, the COE is 24% lower compared to the base case. A 54.3% of the total energy produced is sold back to the grid, and the total renewable penetration of 77.7% is achieved. To observe the effect of energy sale limit on project parameters, the sensitivity analysis is performed. It can be observed that with a 1 MW increase in the limit, the COE decreases by around 20% and net present cost (NPC) by around 6%. The proposed models for the solar car parks can be used elsewhere with similar climatic conditions.
引用
收藏
页码:77593 / 77604
页数:12
相关论文
共 50 条
  • [41] A Comparative Study of AI Methods on Renewable Energy Prediction for Smart Grids: Case of Turkey
    Unsal, Derya Betul
    Aksoz, Ahmet
    Oyucu, Saadin
    Guerrero, Josep M.
    Guler, Merve
    SUSTAINABILITY, 2024, 16 (07)
  • [42] Evolutionary Game-Based Battery Scheduling: A Comparative Study for Prosumers in Smart Grids
    Karaki, Anas
    Abedrabboh, Khaled
    Al-Fagih, Luluwah
    IEEE ACCESS, 2025, 13 : 44884 - 44900
  • [43] A Study of EV and PV Effects in Residential Distribution Networks using Monte Carlo Simulation and Smart Meter Dataset
    Vorapojpisut, Supachai
    Makumpon, Nithipat
    Srirattanatapee, Chanatip
    2023 18TH INTERNATIONAL JOINT SYMPOSIUM ON ARTIFICIAL INTELLIGENCE AND NATURAL LANGUAGE PROCESSING, ISAI-NLP, 2023,
  • [44] Comparative Study of LCL-S and LCC-S Topology of Wireless EV charging System
    Sasikumar, Sweya
    Deepa, K.
    2019 INNOVATIONS IN POWER AND ADVANCED COMPUTING TECHNOLOGIES (I-PACT), 2019,
  • [45] The Simultaneous Impact of EV Charging and PV Inverter Reactive Power on the Hosting Distribution System's Performance: A Case Study in Kuwait
    Abdullah, Heba M.
    Kamel, Rashad M.
    Tahir, Anas
    Sleit, Azzam
    Gastli, Adel
    ENERGIES, 2020, 13 (17)
  • [46] A comprehensive review and feasibility study of DC–DC converters for different PV applications: ESS, future residential purpose, EV charging
    Tanmoy Roy Choudhury
    Byamakesh Nayak
    Aditi De
    Subhendu Bikash Santra
    Energy Systems, 2020, 11 : 641 - 671
  • [47] Smart electric vehicles charging with centralised vehicle-to-grid capability for net-load variance minimisation under increasing EV and PV penetration levels
    Secchi, M.
    Barchi, G.
    Macii, D.
    Petri, D.
    SUSTAINABLE ENERGY GRIDS & NETWORKS, 2023, 35
  • [48] A Comparative Study of Multicast Routing minimizing bandwidth under delay constraint for Smart Grids Communication
    Zhu, Zihao
    Li, Xiaohui
    Ding, Yuemin
    Huang, Pei
    Liu, Zhenxing
    PROCEEDINGS OF THE 32ND 2020 CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2020), 2020, : 1403 - 1408
  • [49] Peak Point Detection of Phase-to-Phase Effective Voltages for Smart Grids: A Comparative Study
    Colak, Alperen Mustafa
    Shibata, Yuichiro
    Kurokawa, Fujio
    Yesilbudak, Mehmet
    Ermis, Salih
    Bayindir, Ramazan
    2017 IEEE 6TH INTERNATIONAL CONFERENCE ON RENEWABLE ENERGY RESEARCH AND APPLICATIONS (ICRERA), 2017, : 1145 - 1149
  • [50] Comparative Study of Series-Series and Series-Parallel Topology for Long Track EV Charging Application
    Aditya, Kunwar
    Williamson, Sheldon S.
    2014 IEEE TRANSPORTATION ELECTRIFICATION CONFERENCE AND EXPO (ITEC), 2014,